Welcome to my GitHub! I am a Computer Science Engineering student (minor in AI & ML) at VIT-AP, graduating in 2026. I'm passionate about architecting robust backend systems, exploring the frontiers of machine learning, and solving complex algorithmic challenges.
🚀 About Me
💼 Current Role: SDE Intern at Swiggy in Bengaluru, building automated PMO tools and LLM-powered interview review platforms.
🌐 Portfolio: Check out my work and projects at swarajsportfolio.vercel.app.
🎓 Education: B.Tech in Computer Science Engineering (Minor in AI & ML) at Vellore Institute of Technology, AP (CGPA: 8.34/10).
💻 Tech Focus: I specialize in backend engineering and cloud infrastructure, heavily utilizing Golang, Python, Docker, and CI/CD pipelines.
🌱 Currently Learning: Advanced concepts in distributed system design, Agentic AI, and refining my competitive programming skills.
📫 Reach Me: patilswaraj1111@gmail.com
🛠️ Tech Stack & Tools
Languages: Golang, Python, Java, SQL
Backend & Frameworks: Flask, REST APIs, PostgreSQL
Cloud & DevOps: AWS, Oracle Cloud, Docker, Git, CI/CD, GitHub Actions
AI & Data Science: LLMs, Agentic AI, Google Gemini API, XGBoost
📈 Problem Solving & Certifications
Competitive Programming: Solved 300+ DSA problems on LeetCode and 400+ on CodeChef.
Certifications: * AWS Academy Graduate - Cloud Architecting
Oracle Cloud Infrastructure 2025 Certified - Generative AI Professional
Oracle Cloud Infrastructure 2025 Certified - Data Science Professional
💻 Featured Projects
ResourceShare (Community Resource Allocator) Developed a web-based asset allocation platform using the Edmonds-Karp algorithm—handling ~500 nodes in sub-200ms—backed by Flask and PostgreSQL, increasing asset utilization by ~40%.
NLP Character Chatbot Built a persona-driven chatbot leveraging the Gemini API with multi-turn context retention (10+ turns) and optimized latency by ~50%.
Stock Price Prediction Trained an XGBoost predictive model utilizing engineered technical indicators (SMA, EMA, RSI, etc.) and real-time Yahoo Finance data to deliver actionable investment insights with 64% accuracy.
Let's connect!