Gajendra Hattimare

Senior Engineer @Tata Elxsi

Bengaluru, IN

Driving AI innovation across automotive, OTT, and telecommunications platforms at a leading design and technology services company serving Fortune 500 clients.What I do:Design and deploy production-ready AI/ML systems that solve complex business challenges, from real-time embedded inference to cloud-scale data processing. My work directly impacts millions of users across automotive safety systems, streaming platforms, and network infrastructure.Key Technical Contributions:Built enterprise conversational AI system using RAG architecture and LLMs→ Reduced field engineer query resolution time by 50%→ Implemented dual data ingestion pipeline handling documentsDeployed real-time CNN models on Cortex-M7 microcontrollers→ Achieved 95% accuracy in automotive gesture recognition→ Optimized model size using TensorFlow Lite C and CMSIS-NN→ Enabled hands-free vehicle assembly operationsDeveloped production anomaly detection system→ 91% root cause analysis accuracy for network monitoring→ 40% faster fault detection and resolution→ Automated telemetry processing for 10M+ data points dailyOptimized cloud infrastructure and reduced costs by 30%→ Migrated SQL workloads from Redshift to AWS Athena→ Improved dashboard performance by 20%→ Designed scalable data pipelines processing TB-scale datasetsImplemented predictive analytics for customer retention→ Built churn prediction model handling extreme data imbalance (0.03% churn rate)→ Achieved 87% prediction accuracy using custom ANN architecture→ Deployed automated ETL processes for real-time inferenceTechnologies & Impact:AI/ML Stack: Python, TensorFlow, PyTorch, Scikit-Learn, Transformers, Hugging FaceGenerative AI: LangChain, RAG pipelines, OpenAI GPT, Prompt Engineering, LLM fine-tuningCloud & MLOps: AWS, Docker, MLflow, DVC, Apache Airflow, CI/CD integrationEdge Computing: TensorFlow Lite C, CMSIS-NN, Cortex-M7 optimizationData Engineering: SQL optimization, pipeline migration, real-time processing