Nagendra G

AI/ML engineer building agentic AI systems and retrieval infrastructure end-to-end, from architecture through free-tier cloud deployment.

Experience includes FSM-orchestrated multi-agent systems with human-in-the-loop governance, hybrid RAG pipelines, and LLM-integrated automation tools. Currently developing AI tooling and agent-based systems for embedded automotive use cases at Bosch, with a consistent focus on production deployability, rigorous evaluation, and clear technical documentation.

Graduate Apprentice at Bosch (2025-08 – Present)

• Built an AI agent that converts natural-language detection requests into executable analysis code, running it against uploaded vehicle telemetry and returning interactive visualizations of flagged discrepancies for non-programmer domain engineers.
• Designed an agent that classifies use-case severity and generates targeted test cases for software deployment-order validation, automatically executing and flagging failures with human-in-the-loop checkpoints for judgment-dependent decisions.

Intern at Bosch (2025-02 – 2025-07)

• Root-caused a BLE phone-mirroring throughput issue by separating a protocol-level MTU negotiation bug from a concurrency-level decode bottleneck, improving frame rate from 7 fps to 10–12 fps.
• Reframed a sensor-replacement problem from static regression to time-series forecasting and built a windowed-sequence LSTM model, achieving an RMSE of 0.325.

B.Tech in Electrical and Electronics Engineering – Bangalore Institute of Technology (2021 – 2025)