Sudheer Bulusu
Backend Engineer • Distributed Systems
I am a backend engineer with 4 years of experience building distributed systems, workflow orchestration platforms and backend infrastructure for SaaS and consumer products.
Previously, I worked at Thena and Unacademy, where I designed event-driven services, recommendation systems, automation platforms and backend systems serving millions of users.
I am currently pursuing a Master's in Computer Science at UMass Amherst, where I am deepening my understanding of distributed systems, machine learning and large-scale software systems.
Experience
Software Development Engineer II · Thena
Jun 2024 - Nov 2025
Built workflow orchestration, CRM, notification and customer support systems powering a modern B2B customer support platform. Focused on distributed workflows, event-driven architecture, and platform reliability.
Software Engineer · Unacademy
Jun 2022 - Jun 2024
Built backend systems across multiple high scale learning products, including recommendation engines, subscription and billing systems, experimentation infrastructure, and real-time competitive learning platforms.
Education
Master of Science in Computer Science
Jan 2026 - May 2027 (Expected)
University of Massachusetts Amherst
Amherst, MA
GPA 4.0/4.0 · Distributed & Operating Systems, Advanced Algorithms, Software Engineering, Machine Learning, Neural Networks
Bachelor of Technology in Mechanical Engineering
July 2018 - May 2022
Indian Institute of Technology Bhubaneswar
Bhubaneswar, India
GPA 8.01/10 · Data Structures & Algorithms, Robotics, Advanced Calculus, Linear Algebra & Complex Analysis, Transform Calculus, Partial Differential Equations
Skills
Languages
TypeScript · Go · Python · C++
Backend
Node.js · Nest.js · Django · gRPC · Temporal
Data
PostgreSQL · MySQL · Redis · DynamoDB · Elasticsearch · Redshift
Cloud
AWS (ECS, SQS, SNS, Lambda, DMS) · Docker · GitHub Actions
Selected Work
Physics Informed Neural Networks (PINNs) for Crash Dynamics
Built Physics-Informed Neural Networks (PINNs) to model vehicle crash dynamics, reducing simulation turnaround time from hours to near-instant inference while maintaining acceptable error bounds against analytical and FEM baselines.
RoomMatch
Built a roommate matching platform that ranks candidates using lifestyle compatibility scores and Redis-powered real-time retrieval, enabling fast personalized recommendations.