MetaMask Security Research
Researched Ethereum address poisoning, typosquatting, and domain drop-catching attacks affecting 175K+ attempts. Designed detection logic reducing phishing risk by 70%.
- Security
- Ethereum
- TypeScript
- Open Source
π Hi, I'm
Software Engineer passionate about creating impactful digital experiences β from intuitive frontends to robust backend systems. Currently pursuing my MS in Computer Science at Stony Brook University.
Get to know a little more about who I am
Hello! I'm Harsh, a Production Engineering Fellow at Meta & MLH, building scalable systems under industry mentorship. I'm pursuing my Master's in Computer Science at Stony Brook University (3.67 GPA), diving deep into algorithms, operating systems, and distributed systems.
My journey in tech started with a fascination for building reliable infrastructure. I've engineered telemetry pipelines using Prometheus & Grafana, deployed containerized applications with Docker, and developed internal tooling to monitor fleet health. Previously at Aumsat Technologies, I architected data pipelines handling 500+ geospatial datasets.
I'm passionate about open-source securityβcurrently researching Ethereum address poisoning and phishing detection for MetaMask. Winner of Smart India Hackathon 2022, HopperHacks 2025, and HackNYU 2025. Published researcher at CSA 2024 Conference.
Technologies I've been working with recently
Some of the projects I've built recently
Researched Ethereum address poisoning, typosquatting, and domain drop-catching attacks affecting 175K+ attempts. Designed detection logic reducing phishing risk by 70%.
Microservices-based platform using Docker for containerization. Optimized A* pathfinding algorithm reducing route calculation latency by 60% vs standard Dijkstra.
Smart India Hackathon 2022 Winner. Built offline digital payment app using Bluetooth, enabling 40% faster P2P transfers. Secured 10,000+ test transactions via 2048-bit RSA.
Low-latency trading simulation processing real-time WebSocket feeds for 500+ NSE stocks. Integrated LSTM neural networks for 30-day market forecasts with 85% accuracy.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. Whether you have a question or just want to say hi, feel free to reach out!
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