Work Experience


Teaching Assistant, Manning College of Information and Computer Science, UMass, Amherst

June 2024 – Nov 2024

  • Evaluated and graded assignments, projects, and exams, ensuring accurate assessment of students' understanding of software engineering principles(COMPSCI-520).
  • Provided constructive feedback to students, helping them improve their coding practices, design techniques, and problem-solving skills.

Graduate Student Researcher, Human Centered Robotics Lab , UMass, Amherst

June 2024 – Nov 2024

  • Optimized a model for frame-level fault detection in collaborative autonomous systems, processing 30 images per timestep from 5 agents in the DeepAccident dataset.
  • Conducted an in-depth analysis of dataset structure and identified key challenges impacting detection outcomes.
  • Designed and implemented a denoising-based fault detection model with Vector Quantized GANs and Graph Attention Networks as pre-training, exploring enhanced learning for fault detection in multi-agent autonomous systems.
  • Optimized a non-linear MPC-WBIC controller through semi-black box fine-tuning, tailoring it for improved performance on the Go1 robot platform.

Dining Hall Supervisor (Part-Time), Auxiliary Enterprises, UMass, Amherst

Sep 2023 – Dec 2024

  • Led and motivated team members to maintain high performance and productivity, ensuring smooth operations across all work areas.
  • Strategically managed employee break schedules to balance workload and optimize efficiency.
  • Demonstrated strong attention to detail by ensuring allergens were accurately identified and communicated, fostering a safe and compliant work environment.

Software Development Engineer - I, Eagleview, Bengaluru

Aug 2020 – Dec 2022

  • Assisted in designing and led implementation of an event-based notification service handling push, email, and iOS notifications via AWS SQS and SNS, supporting 1,000+ concurrent requests.
  • Gained proficiency in C# and delivered critical release APIs within one week.
  • Delivered 6+ Golang and Python microservices, collaborating with cross-continental agile teams.
  • Contributed to migrating a legacy platform to a serverless orchestrator using AWS Step Functions and Lambda, reducing service time from 3 hours to 45 minutes.
  • Achieved 60% latency reduction for large file downloads by implementing gRPC stream APIs.
  • Enhanced service performance and resolved critical bugs through regular load and performance testing.
  • Translated business-critical MATLAB code handling geospatial data to Python, increasing scalability and reducing latency by over 70%.
  • Participated in the full SDLC of Assess, an online imagery inspection tool with a $1M+ projected revenue.
  • Proposed OpenTelemetry integration for serverless tracing, improving logging and debugging capabilities.
  • Participated in code reviews to ensure clean, tested, readable and maintainable codebase to maintain 90% code coverage.

Software Development Engineer Intern, Eagleview, Bengaluru

Jan 2020 – June 2020

  • Delivered 15+ APIs for a critical process and improved API documentation, reducing cross-team dependency and cutting development time by 15%..
  • Presented a study on ElasticSearch-Logstash-Kibana (ELK) stack for observability, demonstrating its potential to trace points of failure within 30 minutes and deliver key analytical insights.
  • Proto-typed a dashboard to automate version tracking, cutting manual checks and documentation time by 50%.

Research Intern, Center for Cloud and Big Data, PES University, Bengaluru

May 2018 – Aug 2018

  • Researched on federated clouds using OpenStack.
  • Conducted a feasibility study of federated container service using Mesos in Openstack.