AVAILABLE FOR OPPORTUNITIES

Software
Engineer

Amit Kumar

Building scalable, efficient, and robust software solutions. Specialized in backend systems, data structures, and algorithms with a passion for system design and performance optimization.

4+
Projects
B.Tech
CS (AI & DS)
2025
Graduate
Amit Kumar
BASED IN
India 🇮🇳
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BACKGROUND

Education & Strengths

CT University

2021 - 2025

🎓

B.Tech Computer Science Engineering

Specialization: AI & Data Science

KEY COURSEWORK

DSAWeb DevelopmentMachine Learning

GNM School

2019 - 2020

📚

Non-Medical (Engineering)

Foundation in Science & Mathematics

KEY SUBJECTS

MathematicsPhysicsChemistry
CORE COMPETENCIES
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Adaptability & Fast Learning

Highly adaptable with the ability to quickly learn and implement new technologies. Excel in dynamic environments by grasping concepts efficiently and applying them effectively.

🎯

Problem-Solving Mindset

Tackle complex problems with logical and creative solutions. Strong foundation in data structures and algorithms enables effective optimization and elegant problem-solving.

PORTFOLIO

Featured Projects

A collection of projects showcasing my expertise in full-stack development, system design, and problem-solving.

ConnX.in

→

A video-based freelance platform where freelancers can showcase their work through short videos, making it easier for clients to discover and hire them.

KEY FEATURES

  • Freelancers upload short video portfolios
  • Clients can directly connect from posts
  • Video engagement boosts visibility for freshers

TECH STACK

Next.jsTailwind CSSFirebaseNode.jsWebRTC
VIEW PROJECT→

Campus Reveal

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An anonymous college review platform where students can share their experiences and opinions without revealing their identity.

KEY FEATURES

  • Users can post college reviews anonymously
  • Secure and spam-free environment
  • Real-time upvotes and comments

TECH STACK

React.jsNode.jsMongoDBExpress.js
VIEW PROJECT→

AnnouncePro

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A Python-based automated announcement management system that delivers announcements accurately and runs 24/7.

KEY FEATURES

  • Automates university-wide announcements
  • Runs continuously 24x7 without manual intervention
  • Scheduled notifications and real-time updates

TECH STACK

PythonTkinterSQLiteWindows Services
VIEW PROJECT→

Recommender System

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An AI-powered content-based recommendation system that suggests relevant content based on user behavior and interests.

KEY FEATURES

  • Uses NLP techniques for content analysis
  • TF-IDF vectorization for similarity computation
  • User-friendly interface built with Streamlit

TECH STACK

PythonTensorFlowFlaskStreamlit
VIEW PROJECT→

WANT TO SEE MORE?

VISIT MY GITHUB
VIDEO INTRODUCTION

Video Resume

Get to know me better through this brief introduction showcasing my journey, skills, and aspirations.

500+
LeetCode Problems
10+
Technologies
4+
Major Projects
100%
Dedication