About
Applied AI builder focused on rapidly developing end-to-end products using LLMs, RAG, machine learning, APIs, and AI-assisted development workflows. Experience spans AI research, retrieval systems, graph analytics, full-stack applications, and open-source tooling.
Experience
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Research InternIIT Bhilai
Worked on deep learning for sickle cell disease complication prediction under the Dept. of Bioscience and Biomedical Engineering. Evaluated LSTM and Transformer architectures and applied SHAP-based explainability to identify clinically relevant risk factors.
Education
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2028
B.Tech (Hons.)CSVTU, BhilaiComputer Science & Engineering (Data Science) · 2024 – 2028
Skills
Tools / apps / platforms
Projects
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CodeClashNext.js, React.js, Node.js, Express.js, WebSockets, Docker, Judge0
Real-time multiplayer competitive programming platform with matchmaking, synchronized game state, live standings, and automated judging.
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Retrieval-Augmented Generation SystemPython, LangChain, LlamaIndex, FAISS, Chroma, Hugging Face Transformers
End-to-end RAG pipeline for domain-specific question answering using open-source LLMs.
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NextGenAMLPython, NetworkX, Pandas, NumPy, Machine Learning, Generative AI
Graph-based anti-money laundering investigation platform built to surface suspicious accounts and transaction patterns from financial data.
🏆 Achievements & awards
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1st Place – National-Level Hackathon
Digital Infrastructure Services Trust track, Tata Centre for AI and ML, NIT Tiruchirappalli.
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Special Mention – SIPS 2026 · 2026
Student Innovation and Product Summit, CSITM, IIM Bangalore, for NextGenAML.
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Top 10 – Code Nakshatra 2
24-hour national hackathon organized by TIIPS, Greater Noida.
⚽ Extracurricular activities
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Technical Secretary, CSVTU
Organized technical events, workshops, coding competitions, and helped lead a state-level technical fest.