B.Tech Electronics & Communication Engineering student at IIIT Kottayam. Specializing in hardware-software co-design, Generative AI multi-agent workflows, FPGA acceleration, and real-time embedded ADAS architectures.
Modular five-agent AI assistant built with Google's Agent Development Kit (ADK) and Gemini API. Integrates SQL-based knowledge retrieval with Serper web search in a complex RAG pipeline to eliminate hallucinations and coordinate multi-step tool calling.
Hybrid talent-to-team recommendation engine combining semantic embeddings, Node2Vec graph embeddings, and XGBoost Learning-to-Rank models. Outperformed semantic baseline by improving Average Precision by 405% (ROC-AUC 0.904).
Customer support analytics widget built with React, Express, and PostgreSQL. Engineered optimized SQL aggregation queries and REST APIs to process backend pipelines and drive responsive, low-latency business visualizations.
Developing a Brain-Computer Interface (BCI) enabling hands-free chess interaction through EEG neural decoding. Implemented an FBCCA-based SSVEP classification pipeline with a custom ESP32-driven LED visual stimulation module.
AI-powered urban traffic management system deploying YOLO and OpenCV to estimate vehicle density from live surveillance streams. Dynamically optimizes four-way signal timings without requiring physical roadside sensors.
Microplastic dispersion simulation platform modeling pollutant transport using depth-aware environmental simulation and geospatial datasets. Implemented interactive Folium-based mapping modules to identify environmental hotspots.
Lightweight text-based search engine engineered from scratch. Implements core document tokenization, inverted indexing structures, and efficient ranking algorithms for fast, precise text retrieval and lookup.
Architected end-to-end predictive models using supervised learning, CNNs, and ANNs for complex datasets. Features rigorous feature engineering, hyperparameter tuning, and k-fold cross-validation pipelines optimized for real-world deployment.
Python, C++, C, Verilog HDL, MATLAB, SQL, Java, HTML/CSS, TypeScript.
FPGA, hls4ml, Xilinx ZCU102 / Zynq, AXI Interfaces, Embedded Linux, ESP32, ADAS, UDP Networking, Hardware-Software Co-design, Vivado.
Google Gemini API, Google Agent Development Kit (ADK), Multi-Agent Systems, RAG Pipelines, Tool/Function Calling, Prompt Engineering, Serper API.
PyTorch, TensorFlow, Scikit-learn, XGBoost, YOLO, OpenCV, OpenGL, React, Express.js, Flask, PostgreSQL, Git, Linux, PyQt5, CMake, Blender.
Completed comprehensive hands-on training covering FPGA architecture fundamentals, digital logic design, and hardware implementation workflows using Field-Programmable Gate Arrays.
Ranked among the top 10% of participants in an advanced certification program covering supervised learning, deep neural networks, and intelligent systems design.
Completed an intensive Faculty Development Program on Secure and Intelligent Chip-Level Systems with specialized emphasis on embedded hardware architectures and secure AI computing.
Engineered a Python-based computer vision pipeline for automated lunar crater detection from satellite imagery at a national-level AI and Space Applications hackathon.
Selected for an intensive 5-day cohort-based program focusing on cutting-edge AI-assisted software development practices and generative tools.