Technical Work
A curated selection of my latest projects in AI Engineering, Data Science, and MLOps.
Agentic AI & RAG
Aegis-Flow: Multi-Agent Cloud Security Orchestrator
Architected an Autonomous Security Orchestration System using LangGraph and MCP for automated AWS auditing and remediation. Developed a forensics-driven remediation engine and a real-time observability dashboard with Next.js.
Key Impact
"Achieved real-time security auditing and automated remediation for AWS environments with a Human-in-the-Loop safety gate."
AuditAI: Agentic RAG Compliance Engine
Architected an Agentic RAG system using LangGraph and CRAG to audit organizational policies against NIST CSF 2.0. Optimized performance with a FastAPI backend and Semantic Router, achieving high faithfulness and real-time streaming.
Key Impact
"Reduced compliance auditing latency by 60% while maintaining 100% faithfulness to NIST CSF 2.0 via a Self-Correcting Graph Architecture."
FinBuddy: AI-Powered Personal Finance Tracker
Developed a full-stack AI platform for personal finance tracking using GPT-4o Vision and OCR. Engineered a vector search architecture with pgvector and Supabase, and implemented an asynchronous insights engine for automated financial intelligence.
Key Impact
"Transformed raw financial visual data into semantically searchable assets with automated spending pattern analysis."
MLOps & Infrastructure
F1- Apex Guardian
Architected a cloud-native MLOps system for real-time F1 2026 telemetry monitoring using unsupervised Isolation Forest models for anomaly detection. Built a GitHub Actions-orchestrated 'Challenger' pipeline with automated KS-Test drift detection, AWS S3 feature storage, and a high-performance Streamlit dashboard.
Key Impact
"Optimized dashboard latency by 85% and enabled real-time anomaly detection for competitive racing telemetry."
CitiBike Demand Forecaster: Recursive ML & MLOps Pipeline
Built an end-to-end ML system for 24-hour City Bike demand forecasting with a recursive LightGBM engine and automated Champion/Challenger MLOps pipeline. Deployed a full-stack Next.js dashboard with geospatial visualization and AWS S3 data infrastructure.
Key Impact
"Engineered a high-precision recursive forecasting engine with automated drift detection and Champion/Challenger model promotion."
Computer Vision & Deep Learning
llama-3.2-3b-alpaca-qlora
QLoRA fine-tune of Llama-3.2-3B-Instruct on 52K instruction examples with an end-to-end training, evaluation, and HuggingFace Hub deployment pipeline.
Key Impact
"Reduced perplexity by 81.3% (25.84→4.82) and improved ROUGE-L by 36.3% by fine-tuning only 0.67% of parameters via QLoRA on a single 24GB GPU."
Professional Timeline
Nissha Medical Technologies
Data Scientist Intern (Capstone)
Buffalo, NYVision Intelligence: Developed an end-to-end YOLOv8 & OpenCV system to inspect 30M+ daily tickets, implementing real-time automated defect detection.
Predictive Maintenance: Transitioned facility operations to an AI-driven predictive model, significantly reducing material waste and machine downtime.
Wipro Technologies
Lead Data Reliability Engineer
Bengaluru, IndiaPipeline Engineering: Architected Python-based validation frameworks to automate data reliability for large-scale Snowflake migrations, ensuring integrity for downstream ML analytics.
Technical Leadership: Directed a team in requirement analysis and SQL development, establishing peer-review processes to guarantee high-fidelity data deliverables.
AI Guardrails: Established Ground Truth benchmarks to reconcile backend records with BI metrics, preventing decision-making hallucinations in automated layers.
STRATEGIC TOOLKIT
Four specialized pillars designed for production-grade AI systems, focusing on autonomous intelligence, robust infrastructure, and data integrity.
Agentic AI &Orchestration
Vision &Deep Learning
MLOps &Cloud Infrastructure
Data Reliability &Engineering
Education
Master of Science
University at Buffalo, SUNY
Data Science
Bachelor of Technology
Visvesvaraya Technological University
Electronics & Communication
Certifications
AI Engineering Core Track - Udemy
AI Engineer Agentic Track: The Complete Agent & MCP Course - Udemy
Machine Learning A-Z: Hands-On Python & R — Udemy