I don't just train models β I build the systems around them.
MS CS grad from UIC (GPA 4.0) obsessed with the full AI stack: from raw data pipelines and model fine-tuning to deployed APIs and dashboards that actually work in production. I care about building things that are measurable, interpretable, and real.
Currently hunting for full-time AI/ML Engineer roles in the US.
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Fine-tuned BLIP-2 OPT-2.7B with LoRA on 50K CLEVR samples using chain-of-thought supervision. Converted symbolic functional programs into natural-language CoT traces. Result: +37pp accuracy over zero-shot baseline; +17pp CoT gain on short reasoning chains.
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Real-time edge AI system for live bird sound detection with sub-second streaming inference on NVIDIA Jetson GPU β with React dashboard, telemetry, and rare event alerts. Result: ~40% reduction in dashboard latency via jtop-guided optimization.
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Benchmarked 10+ fairness-aware ML models across 4 real-world credit datasets. Introduced a Responsibility Score (RS) combining fairness + accuracy. Hybrid DI Remover + EG Reduction pipeline on HMDA data. Result: 98% accuracy with LFR; fairness DI = 0.94; SHAP-validated interpretability.
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Agentic AI project management system using MCP-based workflows, embeddings, and full-stack AI automation β bridging LLM reasoning with real project state. Focus: MCP, agentic planning, task automation, full-stack AI.
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β LLM Fine-tuning & Evaluation β RAG Pipelines & Vector Search
β Agentic AI / MCP Workflows β Edge AI & Real-time Inference
β MLOps & Cloud ML Pipelines β Responsible AI & Fairness Metrics
β FastAPI + React Full-stack Apps β Open to AI/ML Engineering Roles π
| ποΈ MS Computer Science β University of Illinois Chicago | GPA 4.0 Β· 2024β2026 |
| ποΈ BTech Computer Science β SGSITS, Indore | GPA 3.7 Β· 2020β2024 |
| βοΈ AWS Certified Developer β Associate | Valid 2025β2028 |
| βοΈ AWS Certified Cloud Practitioner | Valid 2025β2028 |