Pursuing B.E. in Computer Science (AI & ML) at Sri Krishna College of Technology, Coimbatore. I focus on deploying high-throughput, localized inference engines with llama.cpp, deterministic multi-node LangGraph workflows, and zero-API-cost SIEM security pipelines on NVIDIA RTX hardware.
Compiling high-performance GGUF models on consumer GPUs (NVIDIA RTX 4060) utilizing llama.cpp CUDA kernels and Flash Attention v2, achieving 75+ tok/s with zero cloud API reliance.
Orchestrating stateful, multi-step LangGraph architectures (Ingest → Classify → Route) that eliminate hallucination loops and enforce bounded execution constraints.
Designing real-time execution circuit breakers and runtime guardrails that constrain autonomous agents against prompt injections, unauthorized API tool calls, and data exfiltration.
Sub-millisecond retrieval pipelines fusing dense embeddings with BM25 sparse keyword matching using Reciprocal Rank Fusion (RRF) and ChromaDB embedded vector stores.
Building sequential LSTM neural networks for financial anomaly thresholding, alongside multimodal edge vision streams for real-time computer vision detection.
Full-stack SIEM tool using LangGraph agentic workflows and local LLMs (llama.cpp) for real-time security log analysis with zero cloud API overhead.
Zero-Trust Behavioral Firewall & Runtime Circuit Breaker for Autonomous AI Agents, constraining execution paths against prompt injection and unauthorized tool calls.
Zero-cloud, privacy-preserving research intelligence platform with automated web extraction, academic report synthesis, and dense vector RAG pipelines.
Intelligent local AI assistant for document analysis. Chat with PDFs, Word docs, and text files offline using a Hybrid RAG pipeline (ChromaDB + BM25) and local LLMs.
Sequential deep learning financial transaction fraud detection leveraging sequence LSTM neural networks and real-time statistical anomaly thresholding.
Intelligent in-vehicle AI co-pilot assistant combining multi-modal computer vision edge feeds, voice telemetry processing, and vehicle diagnostics.
Available for engineering roles, LLM infrastructure optimizations, and collaborative research.