Member profile
Abhishek Kumar

Abhishek Kumar

Engineer
Information Science Engineering

Aspiring Software Developer

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Free / Basic
Bengaluru

Headline

Helping companies to manage their system and software using System and Software Engineering

About

Aspiring Software Engineer with hands-on experience in AI/ML, full-stack development, and GenAI, specializing in Java, JavaScript, Python, React, Node.js, LLMs, and RAG. Built end-to-end AI-powered full-stack applications integrating machine learning, NLP, backend services, and databases, with growing expertise in Docker, DevOps and CI/CD pipelines with a strong focus on scalable, production-ready systems. Solved 150+ DSA problems on LeetCode and secured 4th position in “The Big Hack” national-level hackathon.

Education

B.E.

Acharya Institute of Technology

Information Science & Engineering · 2023 – 2027 · CGPA: 8.92

Projects

Autonomous Inventory Management System

Built an AI-powered system using YOLOv8 and OpenCV to detect, identify, and count products from live camera feeds, eliminating manual stock counting. Synced detected product counts in real time to a PostgreSQL inventory database, powering a React dashboard with live-stock analytics and reports. Implemented automated low-stock alerting via Node.js/Express APIs, significantly improving inventory accuracy over manual tracking.

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Full-Stack Quiz Management and Analytics System

Built a scalable quiz platform supporting chapter-wise assessments with real-time answer submission and response-duration tracking. Designed asynchronous FastAPI endpoints for question management, user submission validation, and real-time score calculation. Designed MongoDB aggregation pipelines and compound indexes to compute real-time user retention metrics, completion drop-offs, and platform peak-load hours.

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Personalized Cybersecurity Prediction & Awareness Platform (AIML Platform)

– Built a full-stack AI/ML platform using NLP with TF-IDF and LinearSVC to classify phishing, UPI scams, OTP fraud, and identity-theft-related threats with real-time inference. – Integrated a RAG pipeline using embeddings and vector similarity search to retrieve cybersecurity knowledge and generate context-grounded LLM explanations, threat indicators, risk levels, and recommended actions. – Developed a Node.js-based AI cybersecurity chatbot and asynchronous Python/React APIs with PostgreSQL persistence for interactive threat analysis, security guidance, and real-time monitoring.

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Certifications

Advanced Java, C++

Coursera

UNIX/Linux, C Programming

Infosys Springboard

2025-10-29

Java Programming (Silver)

NPTEL

2025-04-10

Achievements

The Big Hack Hackathon 4th place

Other

2025-11-14

We got 4th place in a National-level hackathon named "The Big Hack" held in AIT, Bangalore in 2025.

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