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Narasimha B.

Senior Executive Leader in Ai Ml and Embedded Engineering at Geosensorx

Based in San Francisco, United States

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Seniority

Other

Department

Other

Location

San Francisco

Industry

Telecommunications

Company size

4

Contact information

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Email

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n•••••••@geosensorx.ai

Phone

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Background

About Narasimha B.

AI/ML | GenAI & LLMs | NLP | Cloud Infra and Strategy | Engineering, Product & Program LeadershipAs an Engineering Leader, built AI/ML platforms & edge-to-cloud solutions across smart mobility, autonomous vehicle, wireless, HVAC, IoT, and Xbox gaming. From GenAI services to fleet intelligence & federated AI, my work in the AI/ML space drives measurable impact & market leadership. With PMP & AWS certifications, I blend technical vision, engineering rigor, & cross-functional leadership to deliver scalable platforms rooted in data and innovation. I lead programs across MLOps, Cloud DevOps, AI/ML architecture, & privacy-first data infrastructure.Key Highlights in AI/ML: • Built GenAI fleet platform—cut accidents 50%, reduced fuel 20%, grew ARR to $120M • AI/ML models for remote diagnostics —cut truck rolls 47%, added $38M in service revenue • Rolled out federated AI services globally—drove $1B+ new revenue, 90% dealer adoption • Re-architected smart thermostat data stack—cut AWS costs 65%, enabled 24-minute retraining • AI/ML telemetry data pipeline for model training—cut infra spend 45%, boosted match quality 20% • AI/Ml powered 5G/6G wireless simulation engine (97.8% accuracy)—cut $8M R&D costTechnical & Program ExpertiseAI/ML & GenAI: LLM/VLM, GPT-4/5, BERT, LLaMA, Transformers, RAG, YOLOv5, Clarify, A2I, Hugging Face, SageMaker, TensorFlow/PyTorch, XGBoost, DeepAR+, NN/CNN/RL, LangChain, CUDA, cuDNN, NCCL, Nsight, DGX H100/H200, NVLink, Python.Cloud Platforms: AWS (Lambda, IoT Core, Greengrass, Glue, Forecast, EventBridge, S3, Redshift, Kinesis), Azure, GCP, NVIDIA NGCInfra & MLOps: Kubernetes, Terraform, MLFlow, AirFlow, CloudFormation, GitHub Actions, CI/CD pipelines, model lifecycle, canary deployments, multi-region scalabilityData Engineering & Visualization: Redshift, DynamoDB, Athena, Glue, QuickSight, Step Functions, Protobuf, Data Mesh, Lake Formation, semantic telemetry pipelinesSecurity & Compliance: IAM, KMS, CloudTrail, GDPR, PDPB, CCPA, LGPD, region-specific data residency, and consent frameworksProgram Delivery: Distributed AI/ML Training & Inference Infra, Multi-region platform launches, stakeholder, agile, roadmap, Budgeting, planning.Product Launched : AI/ML Models & Infra, GenAI, Android/iOS apps for B2B, B2C users from concept to productionBuiling AI/ML Models that don’t just scale—they transform markets. I solve complex problems with executive precision and ease of use. Let’s connect if you're building the future of AI, data, & intelligent cloud systems.

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