Machine Learning Stack Web

Mada Sai Varun

Portfolio Email +91-934**-*****

EDUCATION

CMR COLLEGE OF ENGINEERING &

TECHNOLOGY

Bachelor in Computer Science

engineering (AI & ML)

CURRENT CGPA - 8.76

Expected April 2025 Medchal, Hyderabad,

Telangana

Higher Secondary

Percentage : 95%

2019-21

Kshatriya Junior College

COURSEWORK

Object Oriented Programming

Full Stack Web Development(MERN)

Data Structures and Algorithms

SKILLS

PROGRAMMING SKILLS

C • C++ • Java • Python • Oops • React

NextJs • MUI • JavaScript • HTML • Docker

DBMS • MYSQL • Machine Learning • YOLO

Algorithms • Data Structures • Problem Solving

TOOLS/APPLICATIONS

Visual Studio • Jupyter

LINKS

Github : github.com/msaivarun

Linkedin : linkedin.com/in/madasaivarun/

LeetCode : leetcode.com/u/saivarunani/

CodeChef : codechef.com/users/m_saivarun12

ACHIEVEMENTS

400+ problems solved at LeetCode

Winner of Fill the Code competition

(AZURA_2K23).

WORKING EXPERIENCE

TRAILBLIZ (04/2025 - PRESENT)

Developing a Learning Management System (LMS) using Next.js, focusing on building scalable, responsive interfaces with MUI. Responsible for API integration, performance optimization React Query, and collaborating with cross- functional teams to deliver seamless user experiences. PERSONAL PROJECTS

PERSONALIZED CAREER-PATH RECOMMENDER SYS-

TEM

• Developed a full-stack web application with a respon- sive UI using React.

• Designed an interactive multi-step form for academic scores, skill levels and personality assessment.

• Implemented fuzzy logic with Scikit-Fuzzy to score and rank engineering disciplines based on subject strengths.

• Github repo:-Link

Technologies used: ReactJs, Python, Scikit-Fuzzy

SMART TRAFFIC MANAGEMENT

• Developed an traffic control solution that prioritized emergency vehicles through the use of object

recognition technology, reduced average wait times for ambulances in critical situations.

• This project helps in waving off the traffic and controls the traffic in heavy floating areas.

• Github repo:-Link

Technologies used: Python, YOLO, Computer vision, Neural Networks

RESTAURANT

• Designed and developed a fully responsive frontend application for restaurant marketing, employing HTML, CSS, JavaScript, and Bootstrap.

• Github repo:- Link

Technologies used: HTML, CSS, JavaScript

CO-CURRICULAR ACTIVITIES

• Completed 3 days of hands-on training focused on Data Structures & Personality Development during a prestigious workshop at IIT Hyderabad.

• I organized a technical event called Pool Puzzle.

• Participated in CBIT HackXcelerate Hackathon in collaboration with Microsoft and ByteXL.

Contact this candidate