Hey there, my name is

Udit Jain

And I'm a

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I'm UDIT JAIN and I'm a

Results-driven Software Development Engineer and M.Tech (CSE) graduate from NIT Warangal (Graduating 2026) with 3+ years of experience across Intel, Cisco, C-DOT, and Infosys. Proficient in Java, Spring Boot, ReactJS, and LangChain, with a strong foundation in System Design, Data Structures, and Object-Oriented Programming; proven track record of delivering scalable full-stack systems and AI-driven automation solutions in enterprise environments.

CAREER GOAL

To contribute as a Software Development Engineer in a high-impact engineering team, leveraging 3+ years of hands-on experience in full-stack development, backend systems, and AI automation to build reliable, production-grade software. Eager to take on greater ownership, solve complex distributed systems challenges, and grow toward senior engineering and technical leadership roles.

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Intel Corporation

Bengaluru

{ Software Engineer Intern }

Jul. ’25 – May ’26

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Semiconductor Critical Analysis Tool Enhancements

Engineered an automated metrics-aggregation engine from scratch using Python, SQL, and Pandas, eliminating ~8 hours of manual reporting weekly across multiple global Business Units.
Re-architected the platform’s query pipelines with real-time, multi-conditional sorting, accelerating high-volume data discovery by ~40% for cross-functional teams.
Revamped the platform UI (JavaScript/React) to replace legacy alphanumeric IDs with intuitive aliases, reducing navigation errors by ~30%.
Consolidated redundant data-extraction workflows across teams, reclaiming ~20 engineering hours/month for higher-value work.

Agentic AI Automation for Regression Testing

Built an AI-driven automation system with LangChain and LLMs orchestrating patch deployment, simulation, and report generation for router hardware, slashing manual intervention by 70%.
Designed the end-to-end system architecture integrating Jenkins execution, patch loading, and log analysis into a single unified pipeline.
Developed a Webex chatbot powered by four intelligent agents that fast-tracked regression testing and shrank debugging time by 38%.
Leveraged multithreading to run parallel agent instances for concurrent automation, boosting throughput by 25% with real-time CI/CD result tracking.

CISCO Systems

Bengaluru

{ Software Engineer Intern }

May ’25 – Jul. ’25

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C-DOT

Chattarpur, Delhi

{ Software Developer }

Jan. '23 - Jul. '24

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Spearheaded full-stack development of the NCCS platform homepage using Spring Boot, ReactJS, MySQL, and Thymeleaf, applying scalable architecture and design patterns to improve load speed by 35% and accessibility for internal government users.
Architected modular RESTful APIs with OOP principles and caching strategies that measurably sharpened backend efficiency and response times.
Shipped complex, production-ready features with near-zero post-deployment defects alongside a 12-member cross-functional team, using Git for branching, version control, and peer review.
Drove hardware automation on the POTP project by validating ROADM5 configurations and debugging 30+ processor cards (82xx, 85xx, T1022), raising uptime and cutting setup time by 25%.

E-Shop Hub (E-Commerce Platform)

Launched a production-grade MERN-stack e-commerce platform serving 10,000+ daily users for a major enterprise client.
Boosted system performance by ~42% by rebuilding the ReactJS frontend and optimizing Node.js and MongoDB data pipelines.
Conducted comprehensive API testing in Postman, delivering 25% faster server response and smoother navigation.
Partnered with backend and DevOps teams on reliable API integrations, Git version control, and CI/CD automation to compress release cycles.

Infosys Technologies

Mysore

{ Digital Specialist Engineer }

Jul. '22 - Jan. '23

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POST GRADUATION

{ Master of Technology }

( COMPUTER SCIENCE AND ENGINEERING )

National Institute of Technology, Warangal (NITW)

Warangal, Telangana

[ August 2024 - May 2026 ]

CGPA : 8.3

Completed M.Tech in Computer Science & Engineering at NIT Warangal, specializing in Machine Learning, Deep Learning, Data Mining, and System Design. Excited to explore new technologies and build innovative solutions!

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MAHARAJA AGRASEN INSTITUTE OF TECHNOLOGY (IPU)

Rohini, Delhi

[ August 2018 - August 2022 ]

Aggregate : 90.06%, CGPA : 9.06

Completed B.Tech in Computer Science & Engineering from Maharaja Agrasen Institute of Technology (IP University, Delhi). Built a strong foundation in Full-Stack Development, Data Structures & Algorithms, and System Design. Excited for the journey ahead!

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GRADUATION

{ Bachelor of Technology }

( COMPUTER SCIENCE AND ENGINEERING )

SENIOR SECONDARY

{ 12th - CBSE }

( PHYSICS - CHEMISTRY - MATHS )

ABHINAV PUBLIC SCHOOL

Pitampura, Delhi

[ APRIL 2017 - APRIL 2018 ]

Percentage : 91.4%

Completed 12th (CBSE) from Abhinav Public School, Delhi, securing 91.4%. Grateful for the experiences, friendships, and lessons that shaped my academic journey!

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GATEWAY INTERNATIONAL SCHOOL

Uttar Pradesh

[ APRIL 2015 - APRIL 2016 ]

CGPA : 10.0

Completed 10th (CBSE) from Gateway International School, Baghpat, securing a perfect CGPA of 10.0. Cherishing the memories and lessons that sparked my curiosity and shaped who I am today.

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SECONDARY

{ 10th - CBSE }

( MATHS - SCIENCE )

Organizer

Worked as a College Fest Organizer in our college fest named Techsurge and Mridang and organized a Kho-Kho tournament in which more that 50 students participated.

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Volunteer

Volunteered for more than 1 year for our college society Leaders for Tomorrow and collaborated in a team of 10 fellow volunteers to help children with food and books in New Delhi.

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Projects

what i do

YelpCamp2021 - Camp Finder

A full-stack campground review platform with CRUD operations and search functionality. Built with Node.js, Express, MongoDB, and React. Features user authentication, campground management, and review system.

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NeuroPredict - Parkinson’s Disease Prediction

ML-powered disease prevalence estimation using CatBoost and XGBoost algorithms. Features data analysis and predictive modeling for early detection, demonstrating advanced machine learning implementation in healthcare diagnostics.

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TrustX-Defect – Software Defect Prediction

TrustX-Defect is an explainable AI pipeline that predicts software defects from tabular datasets and pairs strong model performance with transparent SHAP-based insights. It automates preprocessing, cross-validated training, and reliability analysis so teams can trust and interpret their defect forecasts.

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