💡 I don't just use AI frameworks — I build the engines that run them.
I'm an Electronics & Communication Engineer at VIT Vellore, bridging the gap between low-level systems programming and cutting-edge Deep Learning. My work spans from writing bare-metal C for RTOS schedulers to building C++ LLM inference engines and publishing ML research in peer-reviewed journals.
- 🔬 Research Intern @ IIT Goa — Hybrid Deep Learning ANC model (MSE: 2.9e⁻⁵, SNR: 27.10 dB)
- 📄 Published in Elsevier DSP Journal (2026) — Logistic Distance Metric Adaptive Filter for ANC
- 🛡️ IT Risk & AI Intern @ Aumyaa Consulting — ITGC Audits for ONGC & BMW Financial Services
- 🚀 Current Focus: LLM Inference Optimization · Real-time Signal Processing · Embedded Kernels
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[Elsevier – Digital Signal Processing, 2026] Design of Logistic Distance Metric Based Robust Adaptive Filter for Active Noise Control [IEEE – ICAAIC 2025] A Novel Three-Layer Hybrid Cryptographic Framework using Enhanced Classical Ciphers [ANRF-Sponsored NEleX 2026 – Provisionally Accepted] Graph-Based Zero-Day IoT Botnet Detection |
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Containerized local LLM inference engine built from scratch in C++:
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Full RTOS simulator in C implementing OS internals:
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Lightweight in-memory DB engine with REPL-based SQL-like interface:
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Sentiment-driven crypto market analysis pipeline combining NLP and trading signals for data-driven decision support. |
🎯 Open to Research Collaborations · ML/Systems Roles · Team Projects · Hackathons/Contests