Custom MapReduce Framework
High-throughput MapReduce engine for large, parallel workloads.
- Built dynamic scheduling with multi-threaded execution
- Designed worker pools, barriers, and throughput benchmarks
- Scaled across large datasets on EC2 clusters
MSCS @ Penn State · Software Engineer · Full Stack & Backend
Previously at Enphase Energy — building cloud dashboards and backend services used by thousands daily. Currently working on backend systems, distributed services, and full-stack platforms.

Open to Summer 2026 SWE and research internships(backend · full-stack · platforms · distributed systems)
The kind of engineer I am and how I build.
I'm Pratyush, a software engineer focused on resilient backend and distributed systems, with a full-stack edge for turning complex infrastructure into clean, maintainable products. I build for real usage, optimizing for performance, correctness, and long-term reliability while completing my MS in Computer Science at Penn State (distributed systems and cloud computing).
Off-hours: competitive badminton, coffee gear tinkering, and anime marathons.
Start a ConversationRecent highlights
Systems and products I’ve built end-to-end.
High-throughput MapReduce engine for large, parallel workloads.
Linearizable KV store engineered for node failures.
Multimodal LLM training and evaluation pipeline.
Desktop clipboard manager built for speed.
Real-time vaccine slot tracking during peak demand.
Where I've worked, studied, and what I shipped.
Education
2025 — 2027
University Park
Focus: Distributed Systems, Backend Engineering & Systems ArchitectureGPA: 3.6 / 4.0
MapReduce engines
KV-store & inference server research
Systems & architecture coursework
2019 — 2023
India
Focus: Systems, Networks, Cryptography & Data Structures
Partial face-image encryption capstone
Algorithms, OS, DBMS, Networks
Experience
Aug 2025 — Dec 2025
Mentored 38 students in C++ and systems coursework, raising class averages by 25%.
Improved debugging outcomes by leading lab sessions and guided problem solving.
Clarified grading expectations with structured, actionable feedback.
Jan 2023 — Jul 2025
Bangalore, India
Built backend services serving 5,000+ daily users and improved data consistency by 25%.
Increased release velocity by cutting manual QA 50% with Selenium regression pipelines.
Shrank TestRail reporting from 1 hr → <5 mins via Python + API automation.
Cut onboarding ramp-up from 4 weeks → 10 days by mentoring 4 engineers.
Improved service reliability by designing RESTful Rails microservices for cloud systems.
Aug 2021 — Jan 2022
Mumbai, India
Built production data ingestion pipelines and performance-critical web apps.
Reduced manual data prep 20%+ with automated financial ingestion pipelines.
Enabled flexible storage routing by designing stateless Django backends across MySQL/Postgres/Redis/Parquet.
My production-ready stack for backend, infra, and UI.
Focused on building reliable, scalable systems that hold up in real production environments.
Technical notes, project writeups, and engineering reflections.
Preparation jotnotes, key concepts, and common patterns for system design interviews.
A collection of solved coding problems from LeetCode with explanations and optimizations.
Personal reflections, learning experiences, and growth as a Masters student and a software engineer.

MSCS @ Penn State
Backend • Distributed Systems • Full Stack
If you're building something real and need a steady engineering partner, I'd love to hear about it.
Open to Summer 2026 SWE internships · Backend · Full-Stack · Platform