HISTORY // ENGINEERING_EXPERIENCE_v3.1

EXPERIENCE

A focused record of engineering work across infrastructure, backend systems, and product delivery.

2026 — Present
datadog

Datadog

Backend Infrastructure Engineer, AI Platform Training and Serving
  • 01Building AI Platforms at Datadog
Summer 2025
linkedin

LinkedIn

Software Engineer Intern, Ad-Serving Backend Infrastructure
  • 01Built a Strict Frequency Capping mechanism using Java and Couchbase with CAS-based locking, reducing duplicated ads from 14% to 3% across 200M+ impressions.
  • 02Developed a Spark + Hadoop daily batch pipeline to process 1B+ records within a 7-hour window, producing frequency cap violation and latency metrics.
  • 03Contributed an RFC and supported full production ramp of Strict Soft Fcap enforcement after diagnosing sync latency bottlenecks and CAS mismatch failures with 5+ engineers.
Winter 2025
datadog

Datadog

Software Engineer Intern, Mosaic Blocks Backend
  • 01Reduced infrastructure deployment overhead by 30% across 3 services by building a centralized config system in Go (gRPC, Protobufs, PostgreSQL, Docker) for Datadog's Proposals Platform.
  • 02Built a versioning system for Graph Gateway using Node.js, TypeScript, and GraphQL Mesh, reducing breaking changes across 10+ services.
  • 03Delivered 2 backend projects to production in 14.5 weeks and authored 5+ design docs that improved onboarding and drove adoption across 2+ engineering teams.
Summer 2024
linkedin

LinkedIn

Software Engineer Intern, Ad Formats Full-Stack
  • 01Developed a Live Preview for advertisers during ad creation with mobile and desktop support, reducing loading time by 90% (5s → 0.5s) and enabling use by 2M+ advertisers.
  • 02Leveraged Java for backend business logic and Ember.js for real-time frontend updates, with data models built on the Rest.li framework and GraphQL.
  • 03Collaborated with PMs, designers, and engineers to deliver the full feature end-to-end in 10 weeks.
Summer 2023
liberty_mutual

Liberty Mutual

Software Engineer Intern, Full-Stack
  • 01Built backend features in Node.js, integrated AWS S3 to improve client data access efficiency by 10%, and deployed 12 production tickets via Bamboo.
  • 02Increased Python test coverage from 35.7% to 100% and implemented Vue.js components with Lucidchart mockups to improve user experience.
2023 — 2024
umass_boston

UMass Boston

Course Assistant, Computer Science
  • 01Facilitated technical labs in Data Structures and Algorithms for undergraduate students.
  • 02Conducted code reviews and provided architectural guidance for complex software projects.
2022 — 2023
SVL

Software Verification Lab

Research Assistant
  • 01Built a full-stack algorithm visualization app converting code into visual graphs using React.js, CodeMirror, and Graphviz to support DSA learning.
  • 02Implemented CUDA C GPU kernels and leveraged Faial-drf for debugging, reducing testing time by 15% and increasing output speed by 20%.