I build systems that close the gap between LLM capability and production reality. Second year CS undergrad at IIIT Kota — shipped 17+ GenAI applications across legal intelligence, multi-agent translation, RLHF pipelines, and financial multimodal RAG.
Currently thinking about: multi-agent memory architectures, MCP integrations, and what RAG reliability actually requires at scale.
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Levi — Legal Document Intelligence 153K+ clause FAISS index. Multilingual semantic Q&A, compliance verification, automated briefing. FastAPI + Gemini + GCP Cloud Run. 89% answer relevance, sub-200ms latency. Hallucination guardrails via strict document-grounding.
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Agent Translator — Multi-Agent Translation Hierarchical agents translating academic documents while preserving equations, tables, and layout — not just text. Self-correcting QA loop. 96% BLEU. 70% cost reduction vs. commercial alternatives.
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NarrativeForge — RLHF Content Pipeline RAG + preference-based reward modeling for long-form generation. Built the feedback loop, not just the model. 34% hallucination reduction through multi-agent orchestration.
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FinSight — Multimodal Financial RAG KPI extraction and chart understanding from financial reports. 91% numerical accuracy. Serverless architecture on AWS Lambda.
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ML Engineer — Fox Trading Oct 2024 – Jan 2025
Feature pipelines over 500+ daily market indicators. LSTM + XGBoost ensemble at 85% directional accuracy on forex price prediction.
Open Source — LangChain
Contributed to RAG guardrails, retrieval refinement, backend optimization.
Technical Writer & Workshop Facilitator — QnS Club, IIIT Kota
12+ ML/engineering articles · 600+ readers · Delivered advanced prompt engineering sessions to 60+ students.
McKinsey Forward Scholar · Stanford ML Specialization · Google × Kaggle GenAI Intensive · Faculty Pick, Vogue Vista AI · LangChain Contributor