Software Engineer • Quant Systems Enthusiast • Infra Optimizer • RL Tinkerer • Tennis Junkie
👨💻 Designing FAANG-scale systems. Optimizing HFT pipelines with sub-µs latency.
name: Mansoor Mamnoon
school: UC Berkeley (CS ‘27)
current: SDE Intern @ Amazon
career_goals:
- SWE roles @ FAANG-scale companies
- Quant / HFT engineering
focus:
- Low-latency trading systems & infra
- Distributed infra, serverless & edge compute
- Reinforcement learning, compilers, quant ML
fun_facts:
- Built my own IDE (Edge Deployer) for serverless APIs
- Favorite debugging tool: ☕ + rubber duck
🚀 Project | 📝 Summary | 🧰 Stack |
---|---|---|
Order Book Engine | High-performance C++20 LOB engine; >20M msgs/sec, <1µs latency; includes snapshot proofing, backtesting, Streamlit UI, containerized analytics w/ GHCR | C++20 · Python · Docker · Streamlit · Parquet · GitHub Actions |
Offline RL Agent | Custom Gym environment with dual obs + reward shaping; implemented prioritized replay, CQL vs DQN benchmarks | PyTorch · Gym · Python |
Edge Deployer | Drag-and-drop IDE to deploy serverless APIs across AWS Lambda@Edge, Cloudflare Workers & Vercel; integrated Terraform & Monaco Editor | Electron · React · Terraform · TypeScript |
Personal Website | SEO-optimized portfolio with dark mode, typing effect, AOS animations, command palette, badges | HTML · CSS · JS |
- 🎾 Catch me serving aces on the tennis court
- 🎙️ Learning: low-latency pipelines for quant/HFT systems
- 🧪 Reading: “Designing Data-Intensive Applications” + “Deep RL Hands-On”
- Building developer tools from scratch
- High-frequency infra & systems optimization
- Offline RL and reward shaping
- Terraform, Pulumi, AWS, and PyGame
If you’ve built cool systems, have spicy infra memes, or want to collab —
ping me on LinkedIn or shoot an email: mansoormmamnoon@gmail.com
.
“Don’t just ship it. Ship it fast, ship it clean, ship it again.”