AdityaVelpula
Idon'tjustanalyzedata.Iarchitectsystemsthatthink.
M.S. Data Analytics · George Mason University · 2024 to 2026
Building AI Systems That Scale
1,192 Policy Sources → Actionable Intelligence
Specializing in building scalable intelligent systems that bridge raw data and actionable insight. From RAG architectures that process thousands of policy documents to LLM orchestration systems that cut costs by 80%. I engineer solutions at the intersection of AI and infrastructure.
The Architecture
Roles where I built intelligence systems from first principles. Not dashboards, not demos. Real systems with real impact.
AI Engineer
Hybrid RAG Pipeline
Hybrid retrieval combining BM25 lexical search with FAISS dense vector search and neural reranking. Multi-tier LLM verification system ensures factual accuracy with citation tracking.
Built intelligence system for JAG officers analyzing Arctic policy across international legal frameworks.
Graduate Teaching Assistant
Mentored 50+ students in data analytics, machine learning, and statistical methods.
AI Engineer
Built geospatial ML pipelines and full-stack web applications for location intelligence.
Selected Projects
Each of these was shipped end-to-end. Click any card to see the architecture, metrics, and stack.
Ticket Resolution & SLA Breach Prediction
End-to-end ITSM analytics pipeline predicting ticket resolution time and flagging SLA breach risk before closure. Built on a realistic 5,000-ticket synthetic dataset simulating ServiceNow/Jira logs. Gradient-boosting models beat baselines for both regression and classification; results surface through a Power BI dashboard for proactive service management.
Wildfire Risk Prediction
ML pipeline fusing MODIS satellite fire data, NOAA climate variables, and NDVI vegetation indices to predict wildfire risk. Random Forest + XGBoost with careful feature engineering reached AUC-ROC 0.99. Python visualisations of high-risk zones and key predictors (elevation, humidity, thermal anomalies) support proactive response.
U.S. Electricity-Rate Analytics
Analysed 320K+ electricity rate records (2020 to 2023) through the DIKW framework, using Python, SQL, and statistical testing (t-tests, regression) to expose material pricing differences between IOU and Non-IOU utilities across sectors and states. Cluster models + forecasts highlight geographic trends and inflation effects for regulators.
License Plate Detection
Real-time license plate recognition combining YOLO object detection, OCR, and OpenCV image preprocessing. Peak detection accuracy achieved through dataset augmentation, bounding-box refinement, and localisation tuning. Senior-year capstone.
Hybrid Movie Recommender
Hybrid recommendation engine blending content-based filtering, collaborative filtering, sentiment analysis, and Jaccard similarity for diverse personalised suggestions. Responsive Flask web app with real-time search, tunable parameters, and evaluation metrics for diversity, novelty, and serendipity.
Obesity Risk Analytics
Cloud-native data pipeline for health-risk prediction using AWS services. Raw records flow through S3 → Glue ETL → Athena queries → QuickSight dashboards, enabling real-time risk scoring and visualisation.
Support Circle
Full-stack virtual support platform helping people fight addictions. React frontend for a responsive chat-first UX, Python backend handling auth, data management, and secure real-time messaging + notifications so users get continuous peer support during recovery.
Skills & Stack
The tools I use daily, grouped by domain. Bars indicate depth. Primary marks my daily-driver, Working denotes hands-on familiarity.
AI / ML & Data
Languages
Cloud & Infrastructure
Tools & Frameworks
AWS Certifications
Click any badge or 'Verify' to open the official AWS verification page. Use 'Copy ID' to grab the validation hash.