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AI Engineer with 1+ years in robotics, embedded systems, and IoT.
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Assessing your cultural and operational fit
Final-year ECE student who builds and ships AI-driven robotics, embedded systems, and IoT applications. Delivered four end-to-end projects covering real-time object detection (YOLO), autonomous navigation, and retrieval-augmented generation (RAG). Skilled in Python, C, Raspberry Pi, and real-time sensor integration, with working knowledge of cloud, cybersecurity, and Linux fundamentals. Seeking an AI Engineer role applying ML and edge-AI skills to production systems.
APJ Abdul Kalam Technological University
B.Tech · Electronics and Communication Engineering
August 1, 2022 – May 1, 2026
Government College of Engineering Kannur (GCEK)
Academic Project Head
January 1, 2025 – March 1, 2026
Kerala, India
RAG-Based Document Q&A Chatbot
June 1, 2026 – Present
Built and deployed a Retrieval-Augmented Generation (RAG) chatbot enabling natural-language Q&A over user-uploaded PDFs, integrating the Groq LLM API for response generation. Designed an ingestion pipeline using recursive character chunking and local HuggingFace sentence-transformer embeddings, indexed into a ChromaDB vector database for semantic similarity search. Applied prompt engineering to ground LLM responses strictly in retrieved context, minimizing hallucination and improving answer reliability. Built a Streamlit interface with source-chunk transparency and deployed the application on Streamlit Community Cloud with secure API key management, delivering a public live demo.
View ProjectAI-Powered Autonomous Medicine Delivery Robot
December 1, 2025 – March 1, 2026
Deployed a YOLO-based real-time object-detection pipeline on Raspberry Pi, achieving reliable medicine identification across 15+ drug labels under varied lighting conditions. Engineered RFID-based navigation combined with ultrasonic and IR sensor fusion for fully autonomous corridor traversal – zero manual interventions required in end-to-end delivery trials. Integrated IoT and mobile application support for live robot monitoring and remote medicine management, reducing estimated nurse response time for routine deliveries by ~40%.
Maze Solving Robot
January 1, 2025 – July 1, 2025
Programmed real-time obstacle-detection and path-planning logic for autonomous maze completion in under 90 seconds consistently. Implemented and tuned a PID motor-control loop that reduced trajectory deviation by ~25% compared to a bang-bang controller baseline.
Cultural Fit Analysis
The candidate's project diversity, spanning robotics, embedded systems, and LLM applications, indicates a broad technical curiosity and adaptability. Their academic background in Electronics and Communication Engineering, combined with AI/ML projects, aligns well with roles requiring interdisciplinary skills. The leadership experience suggests a proactive and collaborative mindset. However, the candidate is still an undergraduate, which might imply a need for more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates strong project management, team leadership, and problem-solving skills through their 'Academic Project Head' role. Their project descriptions highlight an ability to translate requirements into actionable plans and resolve technical blockers. The focus on real-world applications (medicine delivery robot, Q&A chatbot) suggests a practical, results-oriented approach. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.