Namrata Simha
Seattle,WA
Overview
8
8
years of professional experience
Work History
Software Engineer
Microsoft
01.2022 - Current
- Owned backend architecture for Call Automation Media features including Play (file/TTS), DTMF (single/continuous), voice recognition, transcription, audio streaming, call recording, mute/hold, and cancellation — delivering multiple features to GA.
- Built and launched the first monetization pipeline for ACS Calling streaming, generating 100% of revenue for the feature set and scaling to ~20M+ monthly billable calls.
- Designed end-to-end telemetry strategy for ACS Calling, enabling observability across ~180M+ API calls/month and driving product and operational decisions.
- Served as technical POC for major customers and partner teams, accelerating integration and reducing onboarding barriers.
- Mentored engineers onboarding to Call Automation Media and clarified service contracts to increase delivery velocity.
- Led cross-service architecture alignment across Calling Platform, Media Platform, Azure AI Orchestrator, Telemetry, and Billing.
ADAS Perception Engineer
Visteon
01.2019 - 01.2022
- Owned development of real-time perception modules and HD-map alignment pipelines across automotive SoCs (C++, Python, ROS), improving system-level environment understanding for Autonomous Driving.
- Built a continual-learning data pipeline through external annotation partners and an internal closed-loop feedback system, improving perception robustness for edge-case scenarios.
- Optimized deep-learning detectors for embedded deployment, improving latency and stability under automotive constraints.
- Established a quantitative KPI benchmarking framework to measure perception accuracy and performance across datasets.
- Led testing/validation across 1,000+ miles of US highways, achieving best-in-class detection and alignment performance.
AI Software Engineer
Visteon
04.2018 - 12.2018
- Developed CV algorithms for object detection, scene understanding, and environmental modeling using TensorFlow, Caffe, and OpenCV.
- Adapted ML models for low-power automotive compute, optimizing kernels for real-time inference.
- Defined perception-pipeline requirements with system architects for next-gen cockpit and Autonomous Driving features.
- Built automated evaluation pipelines to benchmark accuracy, robustness, and runtime performance.
Computer Vision Intern
Visteon
10.2017 - 03.2018
- Prototyped early-stage perception modules and evaluation tooling for embedded ADAS deployment.
- Performed algorithm benchmarking and sensor-data analysis to inform engineering decisions.
Education
Master of Science - Computer Science
University of California, Santa Cruz
Santa Cruz, California, CA12-2017
Bachelor of Science - Computer And Information Sciences
BNM Institute of Technology
Bengaluru, KA, India06-2016
Skills
- Languages: C#, Python, C
- Distributed Systems: Azure, REST APIs, service-to-service architecture
- Real-time Media & AI: Audio streaming, speech/voice recognition pipelines
- Observability: Geneva, Aria logging, Azure Monitor
- Tools: Git, Postman, Swagger, Azure DevOps
Timeline
Software Engineer
Microsoft
01.2022 - Current
ADAS Perception Engineer
Visteon
01.2019 - 01.2022
AI Software Engineer
Visteon
04.2018 - 12.2018
Computer Vision Intern
Visteon
10.2017 - 03.2018
Master of Science - Computer Science
University of California, Santa Cruz
Bachelor of Science - Computer And Information Sciences
BNM Institute of Technology