I specialize in building robust backends, real-time systems, distributed components, and low-level systems like WSGI servers, orchestrators, and fuzzy-logic simulations. My learning approach is deep, structured, and engineering-focused.
Node.js, Express, FastAPI, Prisma, PostgreSQL, Redis
C (process mgmt, IPC), WSGI servers, orchestrators
WebSockets, Socket.io, Queue & appointment systems
Mamdani FIS, simulation engines, Python automation
GitHub, Vercel, Docker basics, API testing
A CLI orchestrator inspired by Docker & Gunicorn, built to learn Unix process management, fork/exec, signals, IPC, and workload orchestration. Includes YAML config parsing and process supervision.
Built using FastAPI, Redis, PostgreSQL, and WebSockets. Includes predictive wait times, real-time patient updates, and a modular backend architecture.
A modular TypeScript backend using Express & Prisma, implementing Reddit-style communities, posts, likes, and search. Built with clean handler-based architecture.
A Python simulation engine using fuzzy sets, rule base, defuzzification, and a GUI interface for controlling AC temperature based on multiple inputs.
I follow a deliberate, deep–foundational learning path. My focus areas include backend engineering, database systems, computer architecture, distributed systems, WebRTC, and systems-level C programming.
Over the last year, I have also developed structured notes and solved advanced university-level questions in neural networks, fuzzy logic, simulated annealing, and relational algebra.
In addition to backend work, I explore DevOps fundamentals, performance, and debugging.
Feel free to reach out for collaborations, backend projects, or systems programming discussions.
Email: a71004224@gmail.com
GitHub: github.com/ashlesh-l-g
LinkedIn: linkedin.com/in/ashlesh-l-gujjar