Sai Binayak

I’m an engineering student pursuing a BTech in Computer Engineering, where I focus on building user-centric, scalable applications and strengthening my fundamentals through coursework in data structures, machine learning, and web development. With a CGPA of 8.44, I’ve stayed hands-on and consistently lean toward practical solutions.

In my backend development internship at EstateLink Solutions (remote), I built and maintained RESTful APIs using Node.js and Express.js to support efficient backend communication. I implemented JWT-based authentication to reduce unauthorized access attempts, and I resolved CORS and connectivity issues to improve frontend-backend stability. I also collaborated with frontend developers across 3+ modules, ensuring 100% successful API integration.

My projects reflect the kind of engineering problems I enjoy most—reliable systems, clean APIs, and features that users can actually feel. In HealPoint Plus, I developed a healthcare appointment booking flow with a role-based doctor/admin portal, integrated the Twilio API for automated SMS notifications, and added responsive UI with real-time appointment tracking. In ScholarHub, I designed a school management platform using microservices architecture, implemented JWT authentication with role-based access control, and built secure RESTful APIs with FastAPI and MySQL.

I also build with data and experimentation in mind. My Spam Mail Prediction System uses Python with scikit-learn, Pandas, NumPy, TF-IDF, and Logistic Regression to classify spam vs. ham, including real-time conditional logic for predictions. Beyond development, I contribute to open source (GSSoC 2025, Hacktoberfest, SWoC) and have certifications including Oracle AI Foundation Associate 2025 and Salesforce Agentic AI.