AI/ML Engineer at HARMAN International

Developed a GenAI-powered in-vehicle voice assistant using LLMs, RAG, contextual embeddings, and conversational memory for diagnostics, infotainment control, navigation assistance, and personalized driver interactions. Built multimodal GenAI pipelines integrating voice inputs, vehicle telemetry, infotainment systems, and driver context with LangChain/RAG, feature engineering, and prompt optimization on automotive datasets. Designed foundation model fine-tuning workflows using Llama, Mistral, and GPT architectures with distributed training, Bayesian hyperparameter tuning, instruction tuning, retrieval optimization, and synthetic data generation. Architected low-latency edge inference using TensorRT, ONNX Runtime, quantized LLM deployments, and NVIDIA Jetson. Established streaming AI infrastructure (AWS IoT Core, Kinesis, Flink) for real-time telemetry ingestion and contextual awareness. Implemented agentic AI and GraphRAG systems with evaluation and CI/CD practices, achieving strong F1/

ML Engineer at Bosch Global Software Technologies

Built automotive anomaly detection for connected mobility and ADAS by analyzing real-time telemetry, sensor streams, diagnostics, and operational events; improved incident detection speed by 28% and strengthened fleet monitoring. Designed scalable ETL pipelines using Azure Data Factory, PySpark, and SQL to process millions of daily records for telemetry/diagnostics/ADAS and connected mobility data, supporting analytics, reporting, and compliance workflows. Developed and optimized ML models (XGBoost, LightGBM, autoencoders) for predictive maintenance and vehicle health monitoring, improving predictive accuracy by 32%. Applied NLP with BERT and TF-IDF logistic regression on diagnostic logs, warranty claims, service reports, and feedback to identify recurring issues and improve prioritization efficiency by 42%. Containerized models with Docker and deployed for real-time inference on Azure Kubernetes Service, reducing inference latency by 38%. Implemented real-time monitoring dashboards an