I am Akshat Opam and I recently graduated with a B.Tech. in Electrical and Electronics and a minor in Data Science from MIT Manipal.
Software Development Engineer
→
Full-time
Highlights
Built a scalable microservices backend for an export-import platform using Spring Boot, PostgreSQL, and WebSockets, enabling seamless inquiry management and live chat.
Designed and optimized relational databases to manage product data, user inquiries, and real-time chat interactions with integrity and scalability.
Developed core features like inquiry handling, WebSocket-based live chat, and admin management, improving operational efficiency and user experience.
Contributed to operations and understood the supply chain, procurement, and product lifecycle.
Exposure: Java, Spring Boot, Postgres SQL, WebSocket, Docker, Git
Software Development Engineer – Intern
→
Highlights
Built backend services for a Kundli generation web app using Java, Spring Boot, and the Swiss Ephemeris for precise planetary calculations. Designed and managed a MySQL database schema to handle complex astrological computations.
Played a key role in an early-stage startup, setting up the codebase, developing core algorithms, and collecting data for Kundli generation.
Exposure: Java, SpringBoot, MySQL, XAMPP
→
Bachelor of Technology
Electrical and Electronics Engineering
Grade: 7.06
Awarded By
Codeforces
1395 (Apprentice)
Awarded By
Codechef
1811 (4 Star)
Awarded By
Codechef
112 and 488 on Codechef
Spring Boot, HTML, CSS, GIT, Web Application, Excel, Docker.
MySQL, Postgres SQL, MongoDB.
Data Structure and Algorithm, Database Management System, Statistical Inference, Machine Learning, Regression Models, Embedded Systems, Image Processing, Systems and Signals.
Windows, Android.
C/C++, Python, Java.
→
Summary
• Enhanced EV intelligence by developing ML-powered charging algorithms, optimizing battery performance, and improving system efficiency. • Built ML models predicting range, velocity, and acceleration using real-time data. • Utilized random forest regression, extra trees regression, and a custom stacked deep LSTM network, combined via weighted ensemble for optimal accuracy.
→
Summary
• Built a microservice to track income/expenses and provide financial analytics. • Integrated JWT for secure user authentication and role-based access control. Managed data with PostgreSQL and containerized the app using Docker for seamless deployment. • Delivered scalable, maintainable code with efficient transaction management and analytics.