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

Re-engineered the platform’s query pipelines to support complex, multi-conditional data discovery; built an automated, real-time sorting mechanism that accelerated cross-functional teams’ access to the latest platform rollouts and high-volume data streams.
Developed an automated metrics aggregation engine from scratch, consolidating complex product statistics into a single, high-precision reporting system; integrated strict backend calculation logic that completely eliminated manual data extraction overhead for multiple global Business Units.
Led a platform-wide UI/UX optimization to abstract complex legacy alphanumeric identifiers into intuitive, user-friendly aliases; successfully removed operational friction, minimized data navigation errors, and saved significant development hours for internal engineering teams.

Agentic AI Automation for Regression Testing

At CISCO, I worked as a Software Engineer Intern, where I built an AI automation system using LangChain and LLMs to streamline software patch deployment, testing, report generation, and dashboards on router hardware systems. I also developed a Webex chatbot with four intelligent agents for patch loading, Jenkins execution, and log analysis, accelerating regression testing and reducing debugging time by 38%. The solution improved timely test result visibility for stakeholders and cut manual effort across workflows.

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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NCCS Project

I worked on the NCCS project, developing its homepage using ReactJs, Spring Boot, MySQL, and Thymeleaf to create a seamless and responsive user experience. I integrated APIs and optimized data flow between the frontend and backend, ensuring efficient communication. Additionally, I enhanced the UI/UX, improving navigation, accessibility, and overall design. On the backend, I contributed to secure data management and database operations, ensuring reliability.

POTP Project

In the POTP project at C-DOT, I worked on hardware and software integration for ROADM5 systems, ensuring seamless communication across 8T, 12T, and 4.8T networks. I contributed to testing and debugging hardware configurations, including processors like 82xx, 85xx, and T1022. Additionally, I provided software and database support, implementing NTP software for embedded systems and troubleshooting non-functional cards.

E-Shop Hub (E-Commerce Platform)

At Infosys, I worked as a Digital Specialist Engineer, where I helped build a scalable MERN stack web application for a major client. My role involved working on both frontend and backend, improving UI/UX with React.js and managing data flow using Node.js and MongoDB. I collaborated with my team to optimize performance, responsiveness, and user experience, ensuring a smooth and efficient application.

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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