- 🏗️ Production AI Agent Architectures
- 🤝 Multi-Agent Collaboration & Orchestration
- 🏥 Large-Scale Healthcare Data Engineering
- ☁️ Distributed Data Processing with Spark
- 🧠 LLM Fine-Tuning & Alignment
- ⚙️ AI System Design & Evaluation
📍 India · Open to internship and collaboration opportunities.
Computer Engineering student focused on building practical AI systems for production. Work spans LLM fine-tuning, agentic AI, Transformer internals, backend engineering, and data pipelines. I build systems from the ground up.
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Terminal-first AI assistant with ReAct reasoning, tool calling, conversation memory, and modular provider architecture supporting OpenAI-compatible APIs.
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End-to-end LLM fine-tuning pipeline: CPT → SFT → DPO → RLVR with GRPO. Built with Hugging Face, PEFT, LoRA, TRL, and PyTorch.
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Decoder-only Transformer from scratch in PyTorch. RMSNorm, RoPE, GQA, SwiGLU, weight tying. Character-level language modeling.
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ETL pipelines with Apache Spark, Delta Lake, and medallion architecture (bronze/silver/gold) for production data workflows.
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AI-powered healthcare platform with medicine assistant, appointment management, WebRTC, Socket.IO, React + TypeScript.
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Research project exploring methods for detecting AI-generated media using machine learning techniques.
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