Apr 2023 – Aug 2024 · 1 yr 4 mos · San Francisco Bay Area

• Established large-scale training & evaluation infrastructure for 100+ scientists, incorporating automated GPU monitoring, training recovery systems, and capacity management, achieving 95% cluster utilization
• Developed comprehensive evaluation framework enabling automated benchmark assessment of model checkpoints during training, integrating vLLM inference hosting and model lineage tracking
• Created an interactive checkpoint analysis platform with customizable leaderboards, enabling developers to compare multi-dimensional benchmark results across training runs through self-service analysis templates

Nov 2022 – Mar 2023 · 4 mos · San Francisco Bay Area

• Amazon, Applied AI
• Led technical adoption of AWS SageMaker across Amazon Stores organization, driving cross-functional collaboration between AWS and Stores teams to identify and resolve critical adoption blockers
• Spearheaded design and implementation of two publicly launched SageMaker Feature Store capabilities: cross-account feature access for low-latency serving and TTL Features, expanding platform functionality

Dec 2020 – Nov 2022 · 1 yr 11 mos · San Francisco Bay Area

• Architected and scaled deep learning speaker recognition models serving 15+ locales, delivering both batch and low-latency streaming inference at Alexa-scale production environments
• Engineered automated ML pipelines processing 1000s of hours of audio data, implementing continuous model training and deployment with automated release gates moving from quarterly to monthly releases.

Nov 2018 – Dec 2020 · 2 yrs 1 mo · San Francisco Bay Area

Jan 2015 – Dec 2017 · 2 yrs 11 mos · Greater Pittsburgh Area

• Developing automation & software solutions for automated data capture and delivering insights to construction, mining, Oil & Gas industries.
• I have contributed across the tech stack with some notable projects being :
• Design and implementation of software pipeline to receive and process telemetry data from construction equipments
• Job queuing / distributed worker systems using Celery, RabbitMQ and Python to process long running jobs.
• C++ application development on the UAV - autonomous flight, data capture systems and interfacing the UAV with back-end systems using REST API.
• NodeJS API development to provide volumetric analysis for temporal data derived from aerial imagery and python based data processing pipelines to provide data for in-browser GIS tools.

Oct 2010 – Jul 2013 · 2 yrs 9 mos · Chennai Area, India

• Efficiently managed the day to day operations of the manufacturing company ( precision components manufactring for Oil & Gas industry) with shop floor in three cities by supervising the end to end cycle of everyday operations involving material procurement, production planning & execution, quality assurance.
• Increased the monthly production output by 20% by drawing up organized production plans for a complex process flow, by streamlining the supply chain for raw material procurement and improving the work order executions times by effectively delegating work to forging, machining and quality assurance departments.

Aug 2009 – Apr 2011 · 1 yr 8 mos · Bengaluru Area, India

• Developed computer vision modules to perform vision based operations on a 6 DOF light weight manipulator. Also developed an automated camera calibration routine to determine the camera parameters of the vision system used with the system.