AKSHAT OРАМ

About

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.

Work

Engifit Agriventure PVT. LTD.

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Software Development Engineer

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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

Stellar AI Labs

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Software Development Engineer – Intern

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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

Education

Manipal Institute of Technology, Manipal

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Bachelor of Technology Electrical and Electronics Engineering Grade: 7.06

Awards

Codeforces – Best Rating

Codeforces

1395 (Apprentice)

Codechef - Best Rating

Codechef

1811 (4 Star)

Best Global Rank

Codechef

112 and 488 on Codechef

Skills

Tools and Frameworks

Spring Boot, HTML, CSS, GIT, Web Application, Excel, Docker.

Database

MySQL, Postgres SQL, MongoDB.

Coursework

Data Structure and Algorithm, Database Management System, Statistical Inference, Machine Learning, Regression Models, Embedded Systems, Image Processing, Systems and Signals.

Operating Systems

Windows, Android.

Languages

C/C++, Python, Java.

Projects

Smart Strategies For Enhanced Electric Vehicle Battery Performance

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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.

Finance Tracker Microservice

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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.