Skills & Stack
What I Know
& How Well
Skills aren't binary — they exist on a spectrum. Here's an honest map of where I am, what I've mastered, and what I'm actively building toward. No inflated self-assessments.
Mastered
Proficient
Learning
Exploring
Technology Radar
Full Stack
Skill Map
Where I Stand
● Mastered
Django Ecosystem
Models, ORM, migrations, DRF serializers, ViewSets, signals, middleware, auth, admin customization. Used daily in production.
● Mastered
PostgreSQL
Schema design, query optimization, indexes, JOINs, transactions, migrations, and production administration on Railway / Supabase.
● Proficient
FastAPI + Async
Building async REST APIs, dependency injection, Pydantic schemas, background tasks. Used alongside Django for lightweight service endpoints.
● Proficient
Docker & DevOps
Docker, docker-compose, multi-service orchestration, GitHub Actions CI/CD pipelines, Railway deployments. Used in both Skyline Wheels and FlowBoard.
▲ Learning
AI API Integration
Integrating OpenAI and Gemini APIs into Django backends — GPT-powered features, smart content generation, and automated workflows. Actively applying to client projects.
▲ Learning
System Design
CAP theorem, consistency models, CDN patterns, DB sharding, rate limiting at scale. Studying daily via IIT Mandi + self-directed research.
◆ Exploring
ML & scikit-learn
ML fundamentals, supervised learning, feature engineering, scikit-learn pipelines. Building theoretical foundation through IIT Mandi GenAI module.
◆ Exploring
Advanced DSA
NeetCode 150 in Python. Completed: Arrays, Two Pointers, Sliding Window, Stacks, Binary Search, Linked Lists. Next: Trees, Graphs, DP.
Toolbox
Daily Tools
Python
Django
FastAPI
PostgreSQL
Docker
React
Redis
Git
Railway
Cloudinary
OpenAI
MacBook Air
Linux
VS Code
GitHub
Postman