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AI Engineer with 1+ years in Computer Vision & LLM-RAG
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Highly motivated Mechanical Engineering student with 1 year of experience as a Plant Engineering Trainee and Executive Member. Possessing strong skills in Python, AI, Computer Vision, and Robotics. Proven ability to lead projects, manage teams, and drive efficiency improvements. Actively involved in significant projects focusing on energy optimization, computer vision systems, and legal document automation using hybrid LLM-RAG architectures. Seeking challenging roles in AI and engineering.
National Institute of Technology Karnataka
Bachelor of Technology · Mechanical Engineering
December 1, 2021 – December 31, 2025
Honda Motorcycle & Scooter India Pvt. Ltd.
Plant Engineering Trainee
May 1, 2025 – July 31, 2025
India
Self-Contained Computer Vision System for Player and Ball Tracking with Tactical Contextualization in Team Sports
July 1, 2025 – June 30, 2026
Built a CV pipeline achieving 92% accuracy in player detection and 88% accuracy in ball acquisition. Assigned players to teams using jersey color with < 2 sec inference per frame, enabling near real-time tactical analysis. Applied perspective transformation to convert raw camera view into a top-down tactical map with ±0.3m positional error. Calculated player speed and distance, enabling analysis of 150+ match sequences with average error < 5% compared to GPS trackers.
Legal Document Automation Platform with Hybrid LLM-RAG Architecture for Risk & Insights
June 1, 2025 – June 30, 2026
Prototyped backend services capable of ingesting and processing 10,000+ legal documents in a test environment. Built hybrid LLM-RAG pipelines that achieved 90% accuracy on summarization and context-aware retrieval in benchmark datasets. Validated performance with average query latency < 1.5 s on sample workloads. Demonstrated feasibility of reducing manual review effort by up to 40%, showcasing potential for real-world legal team adoption.
Integrated Energy Optimization in Industrial Utilities through High-Efficiency Air Compressors and Waste Heat Recovery for Process Water Preheating
May 1, 2025 – July 31, 2025
Planned for manufacturing extension and collected over 120 equipment data points to identify procurement needs for energy-efficient equipment. Discovered 3 major opportunities for energy recovery and reuse, targeting a 7-10% reduction in annual energy costs (~$144,000 savings/year). Conducted a detailed feasibility study with 4 layout alternatives, supported by cost-benefit and payback period analysis (2.5 years payback expected). Collaborated with 5+ vendors for procurement negotiations and performed condition monitoring of 20+ existing utility equipment.
Artificial Intelligence: Concepts and Techniques
Indian Institute of Science - IISc
June 1, 2026 – Present
Drone Systems and Control
Indian Institute of Science - IISc
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skills in AI/ML, aligning well with an AI Engineer role. The diversity of projects (computer vision for sports, LLM-RAG for legal tech) shows adaptability and a broad technical curiosity. While the professional experience is in Mechanical Engineering, the academic pursuits indicate a clear pivot towards AI, suggesting a good cultural fit for an innovative, tech-driven environment. The certifications in AI further reinforce this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities, attention to detail in performance metrics (accuracy, latency, error rates), and a results-oriented approach. The 'Integrated Energy Optimization' project also highlights collaboration with vendors and feasibility studies, suggesting good operational awareness and negotiation skills. However, the primary experience is in Mechanical Engineering, which might require a transition period to fully align with an AI Engineer role's operational demands.