- 🎓 BTech Computer Science Engineering student
- 🤖 Machine Learning Minor
- 🧠 Strong in DSA & problem solving
- 🛰️ Working on Satellite Image Segmentation (Computer Vision)
- 🧪 Building AI-driven & automation systems
- 🐧 Hands-on with Linux & Shell scripting
- 🎯 Actively seeking internships & full-time roles
- Deep learning–based image segmentation
- Migrated model from TensorFlow → PyTorch
- Enabled GPU acceleration
- Real-world application in GIS & smart cities
Tech: Python, PyTorch, CNNs, Computer Vision
- AI chatbot for guest handling & verification
- Automated event workflows
- Backend using Flask
- Real-world AI automation focus
Tech: Python, Flask, ML, APIs
- Developed multiple shell scripts
- User management, backups & automation
- RHCSA-level practical exposure
Tech: Linux, Bash, Git
- 🔹 Data Structures & Algorithms (Interview prep)
- 🔹 Machine Learning (Classification, Regression, CNNs)
- 🔹 Linux System Administration
- 🔹 System Design fundamentals
- 🔹 Building production-style projects
I have recently started learning System Design and am actively building a strong foundation to design scalable and reliable systems.
- Basics of scalability and performance
- Latency vs throughput
- Introduction to CAP theorem
- Fundamentals of caching
- Basics of load balancing
- SQL vs NoSQL (when to use what)
- Introduction to microservices architecture
- Studying real-world system design problems
- Understanding design trade-offs step by step
- Practicing simple design problems before scaling
- Using Linux to understand system-level behavior
- Designing a URL Shortener (basic)
- Designing a simple Chat Application
- Designing a Rate-Limited API (conceptual)
🎯 Goal: Progress from fundamentals to interview-ready System Design through consistent practice and real implementations.
- ✅ Machine Learning (Coursera)
- ✅ Core Java Programming
- ✅ Linux System Administration
- ✅ Data Structures & Algorithms (In Progress)
⭐ "Focused on learning, building, and delivering real-world impact."