AI Architecture · Deep Learning · Data Engineering · Cloud Deployments
Hi, I'm Krishnavyas Desugari
AI and Data Solutions Architect building intelligent systems—from predictive ML models to secure, production-grade AI workflows.
Explore the portfolioAbout
I am an AI and Data Solutions Architect who bridges the gap between complex engineering and strategic business outcomes. With a Master’s in Information Systems and a background in Optimization Engineering, I specialize in the end-to-end lifecycle of intelligent systems—from training predictive ML models to deploying secure, localized Deep Learning frameworks.
I combine the technical rigor of a Cloud Engineer with the precision of a Data Scientist, ensuring that innovation is both scalable and compliant.
AI Architecture & Generative AI
Designing and deploying scalable AI workflows, including localized RAG systems (Ollama/ChromaDB) for maximum data privacy and clinical-grade LLM hosting (Gemma) on AWS for automated document intelligence.
Machine Learning & Predictive Modeling
End-to-end ML solutions including Sales Forecasting (Prophet), fraud detection on GCP, and financial risk assessments using Logistic Regression and K-Fold cross-validation.
Deep Learning & Computer Vision
Architecting neural networks for complex pattern recognition—Real-time Object Detection (YOLO), CNN-based facial expression recognition, and transfer learning for image classification.
Data Engineering & Compliance
Building resilient, high-frequency ETL pipelines (Spark, Airflow) while ensuring infrastructure aligns with ISO 27001/42001 and SOC2 standards for maximum security and data residency.
AI / ML / DL
Cloud & Model Hosting
Data Engineering
Visualization & Compliance
Professional Experience
AI Computer Systems Analyst
Outamation · Full-time
Nov 2025 - Present
United States · On-site
- Architected a localized RAG chatbot using Ollama and ChromaDB to enable 100% in-house data processing, eliminating external data egress risks for sensitive client information.
- Engineered an AWS-based AI workflow utilizing Textract and Gemma-2-9b-it to automate medical PDF analysis against payor policies, significantly increasing accuracy and reducing review cycles.
- Spearheaded the annual vendor compliance cycle and questionnaire completion, ensuring 100% certification renewal and seamless alignment between technical teams and external stakeholders.
- Engineered a custom Compliance Bot utilizing Llama 3 to automate regulatory monitoring and internal policy adherence, achieving a 100% compliance success rate during internal audits.
- Leveraged Claude Code and AI agentic tools to architect and automate complex administrative workflows for senior management, reducing manual reporting overhead by 35%.
- Deployed enterprise-grade Power BI and Apache Superset dashboards for mortgage clients, transforming high-volume datasets into real-time insights to identify operational bottlenecks.
- Delivered comprehensive Business Requirement Documents (BRDs) for the RPA team, reducing development rework by ~40% estimated hours through precise technical specifications.
- Built and deployed a custom Reporting Application using AI-assisted development tools (Anti-Gravity), cutting report generation time from 24hrs to 1hr per week.
- Orchestrated UAT cycles for the internal CRM tool, identifying and resolving 10 critical defects before deployment.
- Synthesized cross-functional domain knowledge from operations and management to architect automated daily workflows using Claude, resulting in significant reductions in manual task overhead and improved process consistency.
AI Data & Security Intern
WalletGyde · Part-time
Aug 2025 - Present
- Supported data security reviews and implemented safeguards for ML model inputs and outputs.
- Worked on data ingestion pipelines and performed data quality checks to ensure safe model training.
- Collaborated with engineering to integrate basic anomaly-detection rules for production telemetry.
- Assisted in documenting security controls and best practices for AI model deployment.
Data Analyst
California State University-Long Beach - College of Business
Nov 2024 - May 2025
United States
- Delivered executive-ready dashboards, enhancing visibility into strategic KPIs and improving metric accessibility by 40%.
- Built forecasting models that cut procurement lags by 30%, reducing stockouts and improving inventory flow.
- Established anomaly detection procedures, decreasing data discrepancies by 25% and strengthening reporting accuracy.
- Spearheaded UAT cycles, incorporating real-time user input into iterative product enhancements.
- Mentored stakeholders in dashboard usage, resulting in a 50% surge in self-service analytics adoption.
- Introduced documentation standards that improved process consistency across analytics functions.
Data Analyst
BSC & A Partners · Full-time
May 2022 - Aug 2023
India · On-site
- Automated routine reports, slashing turnaround time by 35% and recovering 15+ analyst hours monthly.
- Partnered with cross-functional teams to define scalable data templates, reducing late-stage revision cycles by 40%.
- Audited ERP integrations, identifying over 120 inconsistencies that were resolved ahead of go-live.
- Championed dashboard QA during platform migration, preserving metric integrity across 50+ assets.
- Facilitated recurring root-cause sessions that accelerated QA resolution rates by 45%.
- Authored onboarding content used by new hires, shrinking ramp-up time and standardizing analytics delivery.
- Launched KPI frameworks tied to leadership goals, streamlining reporting and enabling quicker decision cycles.
- Conducted stakeholder interviews to align data needs with delivery models, enhancing stakeholder satisfaction by 20%.
- Introduced reusable dashboard templates, reducing development time by 30% across multiple reporting teams.
Subject Matter Expert
Chegg India
Oct 2020 - Aug 2023
India · Remote
- Solved 500+ advanced statistics and data science problems, including ANOVA, t-tests, chi-square tests, regression modeling, and hypothesis testing, delivering accurate step-by-step solutions.
- Applied Excel to perform data cleaning, transformation, and statistical analysis for large datasets, improving solution accuracy and reducing computation errors.
- Conducted time-series forecasting and probability modeling to simulate real-world data science scenarios for instructional purposes.
- Developed clear visualizations in Excel and Tableau to explain statistical findings, enhancing learner comprehension for 1,200+ students.
Internshala Student Partner
Internshala · Internship
Oct 2021 - Dec 2021
India
- Educated over 200 students about Internshala's resources, programs, and services.
- Coordinated 3 workshops, 6 information sessions and interview preparation events.
- Collaborated with 20 academic staff and guidance counselors to enhance student success.
Projects
Spotify Data Analysis
May 2024 - Aug 2024
Comprehensive analysis of Spotify streaming patterns and music trends using Power BI, analyzing over 489.46bn streams across 952 tracks.
- Analyzed 489.46bn total streams across 952 tracks
- Created interactive dashboards for track performance metrics
- Developed artist popularity analysis with top performers
- Built music attribute analysis system (Energy, Danceability, Speech)
Nike USA Sales Analysis
Jan 2024 - May 2024
Developed comprehensive Power BI dashboards analyzing Nike's USA sales performance, providing actionable insights for business strategy.
- Created multi-dimensional analysis of sales trends
- Implemented advanced DAX measures for KPI tracking
- Built regional performance comparison tools
- Designed executive-level reporting dashboards
Chocolate Sales Analysis – Tableau
Mar 2025 - Apr 2025
Created an interactive Tableau dashboard analyzing global chocolate sales performance with detailed metrics and geographical insights.
- Implemented monthly sales tracking with peak analysis
- Developed geographic distribution visualizations
- Created product performance ranking system
- Built multi-dimensional filtering capabilities
Call Center Performance Dashboards
May 2025
Developed Tableau dashboards that deliver leadership KPIs and training insights for a customer care organization, enabling rapid performance reviews and targeted coaching.
- Leadership view covers total calls, resolution rate, AHT, and satisfaction trends with time-based breakdowns.
- Training view spotlights bottom 20 agents across satisfaction, handle time, and answer speed for coaching.
- Surfaced operational bottlenecks quickly with combined KPI, volume, and trend analysis.
- Improved executive and agent visibility into customer satisfaction and efficiency metrics.
Enterprise Data Platform Architecture & Implementation
Nov 2025 – Dec 2025
Architected a complete end-to-end data engineering platform for a simulated e-commerce retailer, integrating transactional (OLTP) and analytical (OLAP) systems.
- Designed and deployed a resilient ETL pipeline using Apache Airflow and Apache Kafka to stream daily sales data from MySQL into a centralized Data Warehouse (DB2/PostgreSQL).
- Implemented a NoSQL document store using MongoDB to handle unstructured product catalog data, ensuring high availability for dynamic web queries.
- Developed a predictive sales model using SparkML (PySpark) to forecast revenue trends, and visualized key business metrics on an IBM Cognos dashboard.
Predictive Analytics Engine with Apache Spark
Oct 2025 – Nov 2025
Developed a scalable machine learning pipeline using Apache Spark (PySpark) to predict airfoil self-noise levels for an aeronautics case study.
- Performed feature engineering and data transformation on large-scale datasets using Spark SQL.
- Trained and evaluated Linear Regression and Random Forest models using SparkML, achieving high accuracy in noise level predictions.
- Implemented model persistence strategies to save and reload trained models for production inference.
YouTube Channels Performance Analysis
Aug 2023 - Dec 2023
Conducted in-depth statistical analysis of YouTube channel performance metrics to identify key revenue drivers and success factors.
- Performed extensive data cleaning and preprocessing
- Conducted multivariate statistical analysis using SPSS
- Developed predictive models for channel performance
- Created comprehensive visualization suite for findings
- Identified statistically significant success factors
Daily Job Tracker
Jun 2025 – Jul 2025
Automated daily scraper that collects remote job listings (Data Analyst, BI, Data Scientist) from RemoteOK and USAJobs.gov and pushes structured listings into a Google Sheet via GitHub Actions.
- Scheduled GitHub Actions workflow running daily at 5 PM PST
- Filters jobs by relevance and preserves structured metadata
- Targets remote-friendly roles and maintains an accessible tracker for applications
Automated Data Entry & Form Submission Tool
Feb 2025
Python automation using Selenium and Requests to scrape visa-sponsoring company career pages and auto-fill application forms, cutting manual effort by ~90%.
- Career-page scraping using SERPAPI & BeautifulSoup
- Automated form filling with Selenium WebDriver
- Excel processing with pandas & OpenPyXL for dynamic company lookups
Budget & Expenses Tracker App
Jan 2024 – Mar 2024
A CRUD-enabled budgeting app using Python and pandas to integrate with Excel for data storage and analysis.
- CRUD operations for budgets and expense entries
- Excel integration for persistence and analysis
- Reporting views for monthly spending trends
TrustChain — AI & Blockchain Supply Chain Verification
Jan 2025 – May 2025
Enterprise SaaS prototype combining AI, blockchain, and IoT for product verification and supplier compliance in ethical fashion supply chains.
- Designed dashboard UI in Figma and simulated compliance data
- Built Tableau dashboards to visualize provenance and verification metrics
- Validated monetization scenarios: tiered SaaS and API licensing
AI Logistics Optimization Agent
Apr 2025 – May 2025
Interactive ML-powered recommender for optimal delivery mode (LTL, TL, Drayage, Transload) with cost/ETA estimation and confidence scoring.
- Streamlit UI with filtering, visualization and retraining options
- Combined ML models and rule-based logic for safe recommendations
- Decision logs for continuous learning and performance monitoring
Global Financial Data Extraction Pipeline (ETL)
Nov 2025
Engineered a Python-based automated extraction tool to scrape and process global financial data (GDP & Banking records) from multiple public sources.
- Utilized BeautifulSoup for web scraping and REST APIs to ingest raw data, transforming it into structured formats using Pandas and NumPy.
- Optimized data loading procedures to persist clean datasets into a relational database, establishing a reusable framework for future data ingestion tasks.
Real-Time Traffic Data Pipeline with Airflow & Kafka
Oct 2025 – Nov 2025
Built a streaming data pipeline to process real-time road traffic telemetry, simulating a high-throughput IoT environment.
- Authored Airflow DAGs to orchestrate complex workflows, managing dependencies and scheduling tasks for data extraction and transformation.
- Deployed Apache Kafka producers and consumers to handle real-time data ingestion, ensuring zero data loss during high-traffic intervals.
- Utilized Bash/Shell scripting to automate file manipulation and server-level data processing tasks within the Linux environment.
LLM Twin | Secure RAG-Based Personal AI Persona
Nov 2025 – Apr 2026
Architected a “Privacy-First” digital persona using Retrieval-Augmented Generation (RAG) to synthesize and query professional data from GitHub, LinkedIn, and personal portfolios. A technical proof-of-concept for secure, localized enterprise AI deployments.
- Developed custom data ingestion pipelines to crawl, normalize, and index multi-source data, creating a centralized knowledge base of technical contributions.
- Deployed a localized inference stack using Ollama and ChromaDB, ensuring 100% data residency and zero external data egress.
- Optimized a vector-based retrieval layer to provide high-fidelity, grounded responses, automating 100% of “About Me” technical inquiries with real-time accuracy.
Crop Disease Classification with Transfer Learning
Oct 2025 – Nov 2025
Developed a Deep Learning solution to identify viral diseases in cassava plants, aiming to improve agricultural yields in Uganda.
- Constructed a CNN to classify plant images into five distinct disease categories.
- Leveraged pre-trained architectures (Transfer Learning) to achieve high accuracy with limited training data.
- Implemented Learning Rate Scheduling, Checkpointing, and Early Stopping to prevent overfitting.
- Validated model performance and stability using k-fold cross-validation.
Facial Expression Recognition — Emotion Analysis
Aug 2024 – Dec 2024
Classified FER2013 images into seven emotions; used data augmentation and hyperparameter tuning to improve accuracy.
- Trained CNN models on 35,000+ images
- Improved performance by ~20% with augmentation
- Explored applications in healthcare and customer service
Real-Time News Popularity Forecasting
Aug 2024 – Dec 2024
Forecasted article popularity using historical Mashable data and engineered features to achieve ~73% accuracy.
- Feature engineering for timing and keywords
- Ensembled models including Random Forests and Deep Learning
- Produced actionable recommendations for content strategy
Taxi Booking Wireframe Application
Jan 2025
Wireframe prototype for a taxi booking app emphasizing fare estimation, real-time tracking, and driver ratings; designed in Figma and JustInMind.
- Interactive prototypes with usability focus
- User research and competitor analysis
- Iterative design refinements based on feedback
Exide DTSC Clean-Up – Project Management App
Aug 2024 – Dec 2024
Acted as Product Owner for a cleanup-tracking web app; led 5+ sprints and delivered with high stakeholder satisfaction.
- Sprint planning and stakeholder coordination
- Delivered reporting and tracking dashboards
- Achieved 95% on-time delivery per stakeholder acceptance
Contacts App
Aug 2023 – Oct 2023
A CRUD-based contacts management application built with Django to efficiently create, read, update, and delete contacts.
- User-friendly interface for contact operations
- Backend implemented in Django with RESTful patterns
- Search and filtering capabilities
WEDM Parameter Optimization Study
Dec 2017 - Jun 2018
Applied Taguchi's DOE and Grey Relational Analysis for WEDM optimization.
- Multivariate statistical analysis
- Parameter optimization
- Quality control improvements
- Predictive insights development
Big Data Analytics: Value & Limitations
Research on big data applications in business.
- Case studies of Amazon and Spotify
- Data quality assessment
- Ethical considerations
- Business value optimization
COVID-19 Supply Chain Study
Analysis of digital transformation in supply chains.
- IoT and AI applications
- Risk diversification strategies
- Cloud-based logistics solutions
Skills
Generative AI & LLMs
Data Science & ML
Data Engineering & Cloud
Data Tools & Visualization
Software & Automation
Business & Management
Engineering & Design
Soft Skills
Featured Credentials
A snapshot of cloud, analytics, and design-thinking certifications earned across AWS, Badgr, and IBM programs.
Data Analysis
AWS Academy Cloud Foundations
AWS Academy Machine Learning Foundations
IBM Enterprise Design Thinking
IBM Design Thinking Practitioner
IBM Team Essentials for AI
Salesforce Certified Platform Administrator
Credential ID: 7382603
Certifications
Google Data Analytics Specialization
Issued Feb 2025
Credential ID: VJDTCP7JBSTF
View CertificateGoogle IT Automation with Python Professional Certificate
Issued Apr 2025
Credential ID: TPRZ893ZBLW0
View CertificateAWS Academy Machine Learning Foundations
Amazon Web Services (AWS)
Issued Feb 2025
AWS Academy Cloud Foundations
Amazon Web Services (AWS)
Issued Nov 2023
Databricks Fundamentals Accreditation
Databricks
Issued Apr 2025
Salesforce Certified Platform Administrator
Salesforce
Issued Jan 2026
Credential ID: 7382603
IBM Data Engineering Professional Certificate
IBM
Issued Dec 2025
Credential ID: XJQBLBS75MCD
View CertificateEnterprise Design Thinking - Team Essentials for AI
IBM
Issued Feb 2025
Enterprise Design Thinking Co-Creator
IBM
Issued Feb 2025
Enterprise Design Thinking Practitioner
IBM
Issued Feb 2025
Data Analysis with R Programming
Issued Feb 2025
Credential ID: 5AFVFIMOQ7VI
BUS501: Application of Structured Data
Calbright College
Alteryx Designer Core Micro-Credential: Data Transformation
Alteryx SparkED
Issued Sep 2024
Introduction To Tableau
DataCamp
Excel Fundamentals for Data Analysis
Macquarie University
Issued Oct 2021
Credential ID: 4WMG27NAXBFK
View CertificatePython Programming Certifications
University of Michigan
SQL & Database Certifications
DataCamp
Project Management Foundations Series
Strategic Business Management - Macroeconomics
University of California, Irvine
Issued Jul 2020
Credential ID: 4ZZXCCD97CZG
View CertificateAccenture North America - Data Analytics and Visualization
Forage
Issued Jan 2024
Credential ID: ee7SWhWczPLbpm6sr
View CertificateCognizant - Agile Methodology Job Simulation
Forage
Issued Nov 2023
Credential ID: NJjrSCv6enSowTbMd
View CertificateRed Bull - On-Premise Sales Job Simulation
Forage
Issued Nov 2023
Credential ID: tbi23F48tciqyMsZj
View CertificateHonors & Awards
Runner-Up at CSUF Datathon
Achieved Runner-Up position at CSUF Datathon by developing a data-driven solution using Alteryx and Tableau to analyze complex datasets.
Education
Master of Science - MS, Management Information Systems
California State University-Long Beach - College of Business
Aug 2023 – May 2025
GPA: 3.9
Bachelor of Technology - BTech, Mechanical Engineering
Jawaharlal Nehru Technological University Anantapur (JNTUA)
Graduated May 2022
Applied AI: Deep Learning for Computer Vision
WorldQuant University
Jul 2025 – Present
Data Analysis
Calbright College
Professional Development
Cognizant Agile Methodology Simulation
November 2023
- Created comprehensive analysis of Agile vs Waterfall methodologies
- Developed user stories for innovative applications
- Diagnosed and solved sprint development issues
Red Bull On-Premise Sales Simulation
November 2023
- Analyzed client performance using Excel
- Developed data-driven client recommendations
- Applied active listening and social proof techniques
Accenture Data Analytics Simulation
2023
- Analyzed 7 datasets for social media content trends
- Created strategic recommendations
- Developed presentation materials for stakeholders
Resume Snapshot
Recent highlights include boosting KPI accessibility by 40%, driving a 50% lift in analytics adoption, and cutting procurement lags by 30% for campus operations. I pair secure AI data pipelines with human-centered enablement to keep insights actionable.
- Implemented forecasting and anomaly detection routines that reduced discrepancies by 25% across procurement workflows.
- Coordinated Agile cadences for cross-functional teams, covering backlog grooming, user acceptance, and stakeholder onboarding.
- Documented security controls and analytics standards to support repeatable delivery across education, fintech, and consulting contexts.
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