Abhinav Prasad

Kolkata, West Bengal, India

@abhinav_prasad

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🎓 B.Tech in Computer Science and Information Technology at Institute of Engineering and Management (IEM) · Graduating 2027

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About

B.Tech student in Computer Science and Information Technology at IEM with hands-on experience in machine learning, full-stack development, and backend systems. Built production-oriented projects using modern web, database, and AI tooling, with a strong focus on model evaluation and scalable application design.

Experience

Machine Learning Intern

IEDC-IEM · Kolkata

May 2026 – Jul 2026

Developed an end-to-end machine learning pipeline for stress-level classification using behavioral, physiological, and biochemical features. Implemented and evaluated SVM, KNN, XGBoost, and Random Forest models, achieving up to 99% classification accuracy. Performed data preprocessing, statistical analysis, feature analysis, and model evaluation to identify predictive features and compare model performance.

Education

B.Tech

Institute of Engineering and Management (IEM)

Computer Science and Information Technology · Sep 2023 – Jul 2027
Higher Secondary

Symbiosis Public School

Class XII · 2020 – 2022

Skills

3 to 6 months

Machine Learning Model Evaluation Data Preprocessing Feature Engineering Statistical Analysis

<3 months

C SQL JWT RAG Oop Jest RBAC React CI/CD Python Node.js Socket.io Express.js JavaScript Advanced DBMS Computer Networks Operating Systems Vector embeddings API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git MySQL Redis Docker Gemini MongoDB Razorpay PostgreSQL GitHub Actions

Projects

Athenaeum - Library Management System ↗

Node.js, Express.js, MySQL, React.js

Production-deployed full-stack library platform with versioned REST APIs, JWT-based RBAC, MySQL, Razorpay fine payments, and authenticated Socket.IO realtime synchronization. Included concurrency-safe checkout, return, renewal, and reservation workflows, rotating refresh tokens, reuse detection, encrypted session recovery, BullMQ with Redis/Valkey, scheduled jobs, audit logging, rate limiting, Zod validation, Jest/Supertest integration tests, OpenAPI documentation, health checks, and GitHub Actions CI/CD.
GenAI Resume & Interview Strategist ↗

React.js, Node.js, PostgreSQL, Gemini

Full-stack platform for resume-job matching, skill-gap analysis, interview preparation, and targeted resume generation. Implemented Retrieval-Augmented Generation (RAG), vector embeddings, pgvector similarity search, explainable skill and semantic matching, automated PDF generation, testing, and GitHub Actions CI/CD.

Courses & certifications

Develop Generative AI Applications · IBM, Coursera · 2026
Advanced System Security Topics · University of Colorado System, Coursera · 2024

🏆 Achievements & awards

Research Paper Publication

Published a research paper on NeuroBehaviour AI in IEEE Guwahati CMES.
LeetCode Problem Solving

Solved 400+ Data Structures and Algorithms problems across LeetCode and other coding platforms; achieved a LeetCode contest rank of 1,500.

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