- Currently: Software Engineer at FanTV AI, developing AI agents and scaling systems for better performance.
- Learning: Advanced large language models, decentralized finance, and machine learning for genomics.
- Open to: Collaborations on AI projects, blockchain applications, or open-source work in health technology.
- Ask me about: Conversational AI, retrieval-augmented generation pipelines, Web3 development, or my GSoC experience.
- Reach me at: deepaksilaych@gmail.com | LinkedIn | X (Twitter)
- Pronouns: He/Him
Languages and Frameworks: Python, JavaScript, Django REST, React, Move (Aptos), PyTorch, LangGraph
Tools and Others: Docker, Kubernetes, PostgreSQL, Git, Web3, CSS/SCSS, Full-Stack Development
Domains: AI/ML (LLMs, RAG, Computer Vision), Blockchain/DeFi, Large-Scale Systems, Genomics
Financial Agentic RAG
A retrieval-augmented generation pipeline using LangGraph to analyze financial documents like 10-K filings. It enables smart querying over complex reports.
Tech: Python, LangGraph, LLMs
AptoTrade
A decentralized derivatives exchange on the Aptos Blockchain, providing perpetual futures with a user-friendly Web3 experience.
Tech: Move, Aptos SDK, Web3
Image Search
Natural language search for personal photo libraries—query something like "beach sunset with friends" to find the right moments quickly.
Tech: Python, CLIP, FAISS
GSoC 2025: Mosquito Taxon Classifier
Machine learning toolkit for classifying Anopheles mosquito species using genomic data, supporting malaria research efforts.
Tech: PyTorch, BioPython, Scikit-learn
Health Insurance AI Agent (Portfolio Highlight)
A high-performance conversational agent with real-time speech handling for sales automation.
Tech: Gemini 1.5, Whisper, ElevenLabs
For more projects, visit my Portfolio or GitHub repositories.
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Built with ❤️ using Markdown. Inspired by my portfolio. Last updated: Dec 2025



