React, Go, Java, Python, JavaScript, SQL, Elasticsearch, Django, Docker, Kubernetes, Gitlab, AWS.
New York City Metropolitan Area
Led a cross-functional team of engineers and QA, driving sprint planning, task delegation, and on-time delivery of projects, including successfully handing over a major client project while contributing to two others in parallel.
Built frontend apps and components using Nextjs and React
Developed multi-stage CI/CD pipelines in GitLab to automate deployment.
Containerized services using Docker, and orchestrated their deployment and scaling with Kubernetes in production.
Provisioned and managed AWS Lambda infrastructure using Terraform, managing functions, IAM roles and event triggers.
Designed and maintained NGINX configurations to route Cloudflare traffic to services using port-based routing.
Integrated Playwright MCP server and Claude to automate e2e testing which allowed team to scale quality assurance.
Integrated Sentry and LogRocket into frontend and backend services to enable error tracking, monitoring, and session replay.
Built a document query chat service by chunking pdfs and storing them as vectors in postgres via pgvector.
Queried OpenAi api with context for responses which helped users query a large number of documents.
Built automated reporting in Python/Django with SQL, used celery beat to automate generation of daily/weekly KPI reports.
Handled asynchronous tasks like pdf generation, storing pdfs in s3, sending emails and messages using Celery & Redis.
Addressed performance bottlenecks through database query tuning. Reduced average API response times for legacy list endpoints from 6 seconds to under 200 ms by optimizing serializers and using Redis for caching.
Mentored junior developers through personalized growth plans, one-on-one coaching, and pair programming, while conducting cross-team code reviews to uphold best practices and maintain high-quality standards.
Partnered with product and design teams to define project scope, prevent scope creep, and simplify user experiences for faster, more effective delivery.
2021 — 2023
New York, New York, United States
Developed and maintained reverse logistics software using Golang, React, and Postgres, leading to a significant optimization in shipment consolidations. This resulted in a substantial cost saving of $120,000 per month.
Implemented automated shipping scheduler, which reduced manual labor by 60 hours per week.
Optimized API efficiency by consolidating multiple calls into a single call, which executed a unified query instead of multiple calls within a loop which reduced number of round trips and server load.
Collaborated with UI/UX and data science teams to design new features and improved product user-friendliness.
Created webhooks using AWS Lambda, integrating with AWS SQS and SNS for message queuing and notification.
Ensured system robustness with unit tests in Golang, component tests using Jest, and E2E tests with Cypress.
Implemented and customized Datadog for advanced logging and monitoring, significantly enhancing the observability of microservices. Developed custom dashboards and alerts, providing real-time insights into system performance and user activity, which facilitated faster issue resolution.
Developed internal admin websites using Python and Django allowing retailers to change logistics data.
Proactively addressed technical debt by rearchitecting the back-end to a three-tier architecture. Improved type safety by converting JavaScript to TypeScript and deprecating outdated services. Contributed to a team initiative that transitioned a monolithic service into microservices architecture.
Burlington, Massachusetts, United States
Built a portal using Python, Django, React and Postgres to create/modify/schedule batch jobs via Cisco Tidal which saved the team 35 weekly hours from manual scheduling.
Used Django web framework to authenticate users, check privileges,
make calls to Tidal’s API and store information on an SQL database.
Created a GUI using HTML, CSS, JavaScript and Jquery which
allows analysts to schedule batch jobs quickly using filters.
Worked with stakeholders to improve UI and overall design.
Worked on an additional project which creates daily reports based on job statuses using Python. Saved L1 reporting team 1 hour everyday. Information accessed via Rest API.
Daily Reports project in production. Received Bravo award for the same.
Rochester, New York Area
Maintained internal websites used by professors, students and admins to track academic and administrative data using Python, Django, React and Postgres.
Added features to web pages and tested them in development environment before pushing them to production.
Resolved bugs that occur after periodic updates to code.
Liaised with the Computer Security department to find weak points in the website.
Collaborated on bug fixes and feature updates using GITLab.
Bangalore
Tracked issues faced by clients and worked with frontline reps on how
to help solve issues.
Identified bugs present on LinkedIn website and mobile app.
Created training material to handle common LinkedIn bugs and issues.
Contributed to the Troubleshoot pages used by LinkedIn users.
Education
2018 — 2021
Rochester Institute of Technology
Master of Science - MS
2018 — 2021
2007 — 2012
B. M. S. College of Engineering
Bachelor of Engineering (B.E.)
2007 — 2012
1993 — 2007
National Public School
All India Senior School Certificate
1993 — 2007