Kritarth Saxena - TECHNICAL COMPETITIONS & HACKATHONS

Summary

Motivated and results-driven Computer Science undergraduate with hands-on experience in AI-driven applications, cloud-based systems, and backend development. Demonstrated expertise in designing and implementing practical solutions through a combination of academic coursework and project-based initiatives. Eager to leverage skills in machine learning and backend engineering while contributing to innovative projects in a dynamic work environment. Committed to continuous learning and professional growth within the technology sector.

Overview

2027

years of professional experience

3

Certifications

Work History

TECHNICAL COMPETITIONS & HACKATHONS

Participated in national-level hackathons including Smart India Hackathon.
Built AI-based prototypes under time constraints in team environments.
Engaged in data science competitions on Kaggle with real-world datasets.
Actively solved algorithmic challenges on LeetCode and HackerRank

Core Group Member

Developer Bootcamp Group

07.2024 - Current

Organized and managed AV setups for university tech and cultural fests (Grafest, Accolade), enabling seamless execution for 500+ participants
Coordinated Hackathons and developer bootcamps, improving student engagement and tech skill adoption
Actively contributed to community-led peer programming sessions and workshops under university coding society

Education

B. Tech - Computer Science and Engineering, with major in Data Science and Artificial Intelligence

Graphic Era University

Dehradun

01-2026

C.B.S.E (12th) - undefined

Vanasthali Public School

Noida

01-2021

C.B.S.E (10th) - undefined

Padmawati Academy

Bareilly

01-2019

Skills

Languages: C, C, Java, JavaScript, Python, NLPs, MongoDB, React, Expressjs, Nodejs

Websites

https://github.com/Natkros

Certification

Microsoft Azure Data Fundamentals (DP-900)

Projects

CARLA AUTONOMOUS DRIVING SIMULATION (Jul 2025 – Aug 2025)

Technologies: CARLA Simulator, Python, OpenCV

Simulated autonomous driving scenarios using the CARLA simulator for real-world testing.
Implemented object detection and lane tracking using computer vision techniques.
Evaluated vehicle behavior in different environments like traffic, weather, and obstacles.
Improved safety metrics through AI-based decision-making algorithms.

CLOUD DISASTER RECOVERY SYSTEM (CDRS) (May 2025 – Jun 2025)

Technologies: AWS (S3/EC2), Python, Flask, MySQL

Developed a cloud-based backup and recovery system to ensure data availability during server failures.
Implemented automated backup scheduling and real-time synchronization between primary and backup servers.
Designed secure data storage using encryption techniques to prevent unauthorized access.
Built a Flask-based dashboard to monitor system health and recovery status.

NUTRISMART – AI NUTRITION & DIET RECOMMENDATION APP (Jan 2026 – Mar 2026)

Technologies: Python, Flask, Machine Learning, HTML/CSS, JavaScript

Built an AI-powered nutrition application to track daily food intake and generate personalized diet recommendations.
Implemented machine learning models to analyze user data and suggest optimized meal plans based on health metrics.
Designed an interactive dashboard to display calorie intake, nutrient breakdown, and weekly progress analytics.
Integrated user authentication and history tracking for a personalized user experience and secure data storage.

AI RESUME ANALYZER & JOB MATCHER (Mar 2026 – Apr 2026)

Technologies: Python, Flask, NLP (spaCy), HTML/CSS, JavaScript

Developed an AI-based web application to analyze resumes and match candidates with relevant job roles.
Implemented NLP techniques to extract key skills, keywords, and experience from PDF resumes.
Designed a scoring system to evaluate resumes based on ATS (Applicant Tracking System) criteria.
Integrated job matching functionality by comparing extracted skills with job descriptions to generate relevance scores.
Built an interactive UI providing improvement suggestions and personalized feedback for resume enhancement.

Timeline