I'm a pre-final year B.Tech Computer Science student at SRM Institute of Science and Technology, building at the intersection of AI, embedded systems, and full-stack engineering. My industry work spans Retrieval-Augmented Generation pipelines at Reliance Industries to computer-vision defect detection at RNTBCI/Renault Nissan โ I like turning research-grade ideas into production-ready systems.
role: "Pre-final Year CS Student @ SRMIST"
focus: ["Real-time AI", "RAG Pipelines", "Embedded HMI", "Edge Infrastructure"]
currently_exploring: ["Open RAN", "5G Private Networks", "Intelligent Network Automation"]
os: ["Ubuntu", "Arch", "Manjaro"]
certifications: ["Google Cybersecurity", "IBM Intro to AI"]| ๐ข Enterprise AI Experience | Built NL-to-SQL RAG chatbots at Reliance Industries & CV defect classifiers (92% accuracy) at RNTBCI |
| ๐ค Tech Lead, RoboFest 2.0 | Led the Expo track and core organizing team for SRMIST's flagship robotics festival โ 361+ teams across 10 events |
| ๐ Applied Finance & ML | Built end-to-end equity analytics platforms with rule-based scoring, ML ensembles, and live market data |
| ๐ง Systems Builder | Comfortable across the stack โ embedded firmware, backend APIs, and ML pipelines |
Languages
AI / ML / Vision
Backend & Web
Embedded & IoT
Tools & Platforms
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@ Reliance Industries Multi-node RAG chatbot with dynamic NL-to-SQL generation and vector-database-backed conversational memory for enterprise analytics.
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@ RNTBCI (Renault Nissan) TensorFlow computer-vision pipeline for anomaly detection on the production line, reaching 92% defect classification accuracy.
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AI-powered zone-based lighting system combining ESP8266 firmware, local IoT networking, and real-time OpenCV inference.
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Decentralized health-management system using Ethereum/Polygon smart contracts, IPFS/Filecoin storage, and AES-256 encryption.
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Full-stack Next.js platform integrating Gemini AI sentiment signals with live market data feeds for portfolio insights.
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Registration DB (Supabase, 361+ teams), Next.js QR check-in system, and automated participant communications for a 3-day robotics festival.
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