Spare some time to take a look at my portfolio!
About myself
"Stay hungry. Stay foolish." -Steve Jobs 🚀
I'm Sai Asish, a Software Engineer who just finished his Master's in Computer Science at Stony Brook University. I'm passionate about full-stack engineering, performance optimization, and building software that real people use. I've shipped at scale across research labs (CUBIT and the Data Management & Biomedical Analytics Lab) and earlier at Nokia, and I've contributed merged pull requests to 150+ open source projects across the JavaScript, Python, Go, and Rust ecosystems. I am currently looking for SDE/ SWE New Grad / FTE roles and I am open to work. Also, I'm an open-source aficionado who relishes collaborating on hard engineering problems. Feel free to connect with me here:
🤵 < About Me />
- 🤔 I use daily
.py,.go,.cpp,.ts - 🌱 I'm currently exploring large-scale open-source contributions
- 💬 Talk to me about rock climbing, thriller films, and walking new cities
- 😄 Pronouns: He/Him
- 📝 MS in Computer Science from Stony Brook University, B.Tech from VIT Vellore
- Till May 4, 2026 idea was to volumize solving problems and filing PRs on a broad scale and see where AI is Lagging, breaking the chain in logic, speed and quality. From Today (May 5,2026) focus and Idea has been shifted to Quality > Volume, sorry for all the PRs that were duplicates, unresolved and broken unit tests that were not passing. I am trying to use my skills, thought processes and AI to effectively triage issues and resolve them for OSS.
- 👯 We can connect on LinkedIn for collaboration
- ⚡ Fun fact: I rock climb on weekends ☄️
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Popular repositories Loading
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Payment processing API — Spring Boot + JPA, idempotent transactions, Stripe webhook ingestion, full audit trail, React TypeScript dashboard.
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C++20 Linux TCP request router with thread pool, backend connection pool, and chaos-verified zero-drop graceful shutdown
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C++20 in-memory limit order book with price-time priority, lock-free SPSC matching, multi-symbol, deterministic latency bench
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C++20 Raft consensus distributed KV: 3-node cluster, leader election, log replication, snapshot compaction, 200-scenario chaos suite
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Go orchestrator + Python tool servers MCP-style agent framework: 8 tools over JSON-RPC stdio, schema validation, retry classification, OTel tracing
Go 1