I build software that doesn’t just work — it scales, survives load, and behaves well in production.
I started out in web development, building full-stack applications and shipping features end-to-end. Over time, I got more curious about what happens behind those APIs — why systems slow down, how they scale, and what makes them reliable.
That curiosity pulled me toward backend engineering and infrastructure.
Now, I like working on problems around:
- ⚙️ System performance & reliability
- 🌐 Distributed systems & networking
- 🧱 Backend architecture
- 📊 Observability & debugging in production
Core: Python • JavaScript/TypeScript • Java
Backend: Node.js • Express • FastAPI • REST APIs
Infra & Systems: Linux • Docker • AWS • GCP • CI/CD
Databases: PostgreSQL • MongoDB • MySQL
I also occasionally work with ML systems, especially when they need to run efficiently in production.
A deep dive into networking where I built a TCP-like protocol from scratch.
- Handles packet loss, retransmissions, and congestion control
- Explores tradeoffs between performance and reliability
👉 This is where I really got into low-level systems thinking
- Trained a model to generate docstrings from code
- Built a backend service to serve it in real time
- Focused heavily on latency, memory, and deployment
👉 Not just ML — but making ML usable in production
- Built a system to track behavior of multiple agents
- Monitored performance, failures, and cost
- Added visibility into what systems are actually doing
👉 This pushed me toward infra + monitoring mindset
- 💼 LinkedIn: https://linkedin.com/in/bhaveshghanchi
- 📧 Email: bhaveshghanchi27@gmail.com
Right now, I’m leaning deeper into infrastructure + backend systems — understanding how large-scale systems are designed, deployed, and kept reliable.
If you're working on something in that space, I'd love to collaborate.
⭐ Always building. Always learning.