I'm a passionate Software Engineer with expertise in backend systems, distributed infrastructure, and data engineering. I love building scalable solutions and solving complex problems with strong mathematical and statistical foundations.
- 🔭 Currently working on: Enhancing my S&P 500 Algorithmic Trading Research Platform
- 🌱 Currently learning: Kubernetes, Terraform, Advanced System Design
- 💼 Experience: Software Engineer with experience at Amazon and startups
- 📫 How to reach me: Email
- ⚡ Fun fact: I enjoy competitive programming and have a Codeforces rating of 1400+
Backend & Languages
Cloud & DevOps
Data & Analytics
A comprehensive financial analysis platform I built for S&P 500 stocks featuring real-time market data, correlation networks, and advanced analytics.
- Tech: Python, pandas, NetworkX, Plotly, yFinance, SQLite
- Features: Real-time market data processing, correlation networks, market cap tracking, Sharpe ratio analysis, volatility detection
- Live Demo: Google Colab
A working model of Google's distributed file system implementing core distributed systems concepts with fault tolerance and scalability.
- Tech: Python, Socket Programming, Multithreading, Distributed Systems
- Features: Master-slave architecture, chunk replication, fault tolerance, lease management, active server monitoring
- Architecture: 1 Master Server, 1 Backup Master, 4 Chunk Servers, Multiple Clients
- Key Features: Data chunking, 3x replication, metadata management, heartbeat monitoring
Scalable microservices platform handling 1K+ concurrent code submissions with optimized performance and security.
- Tech: Node.js, AWS, Docker, Microservices
- Features: 75% latency reduction, JWT authentication, rate limiting, horizontal scaling
- Live Demo: Website
⭐️ From Ashish