AI/ML Engineer · Building production agentic AI & RAG systems | LangGraph · FastAPI · LLMs | CS ’26
Bachelor of Technology - BTech, Computer Science Engineering
Vellore Institute of Technology
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I build AI systems that make it to production — and stay reliable once they're there. I'm a computer science engineer (VIT Bhopal, '26) focused on AI engineering: LLM applications, retrieval-augmented generation (RAG), and computer vision. What I care about most is reliability — systems that stay grounded in their sources, surface their own uncertainty, and run under real-world constraints like memory, latency, and cost. My keenest interest right now is the agentic frontier: AI agents and software that can reason and act on its own. A few things I've shipped: 🔹 Equity Research Swarm (VERITAS) — a production multi-agent system that reads SEC filings and writes grounded equity-research memos, with a self-checking critic loop (LangGraph · FastAPI · RAG). Live demo: equity-research-swarm.onrender.com 🔹 Circuit Guard Pro — a YOLO-based PCB defect detector: ~92% detection accuracy, ~80% less manual inspection time. 🔹 Plant Disease Prediction — a CNN leaf-image classifier giving growers a fast first read on crop health. Proof point: Top 30 of 1,500+ teams — Zelestra × AWS ML Ascend Challenge 2025. Toolkit: Python · LangGraph · LangChain · FastAPI · RAG · PyTorch · YOLO · Docker · AWS · SQL I'm a relentless learner, always chasing the next thing to build — and I'm actively looking for AI/ML, GenAI, and software engineering roles where I can ship real systems and learn from strong engineers. 🔗 Portfolio: riishii21.github.io 💻 GitHub: github.com/Riishii21
Greater Hyderabad Area
Information Technology Intern at Apptad, Feb 2026 - Apr 2026 · 3 mos
Bachelor of Technology - BTech, Computer Science Engineering, Vellore Institute of Technology