Yash Matariya
Computer Science graduate who enjoys competitive programming and problem-solving. Comfortable in C++ and Java, quick to pick up new languages and tools, and effective with AI assistants without leaning on them for the fundamentals. Looking to grow as a software / backend engineer.
Experience
Associate System Engineer
IBM
Picked up real support tickets in a large enterprise codebase - reproduced bugs, traced root causes, and shipped fixes that passed code review.
Got productive quickly in unfamiliar code using AI-assisted workflows; worked with the team through reviews and design discussions.
Education
Pandit Deendayal Energy University (PDEU)
B.Tech
CGPA: 7.89
C.U. Shah Polytechnic (GTU)
Diploma
CGPA: 9.65
Skills
Competitive Programming
LeetCode
contest rating 1489, peak 1511; 119+ problems solved (41 Easy, 68 Medium, 10 Hard); strengths in DP, Divide & Conquer, Union-Find. Primary contest language C++.
CodeChef
2-star, current rating 1486, peak 1559; 21 rated contests, 100+ problems solved.
Codeforces
Also active on Codeforces (Y45h).
Technical Skills
Programming Languages
Proficient - C, C++ (with STL), Java, SQL
Familiar - PHP, Visual Basic, Python
Databases
MySQL (schema design, queries)
Operating Systems
Linux (Arch, WSL), macOS, Windows
Tools
Git, Docker, Android Studio
Concepts
OOP, Data Structures & Algorithms, OS, DBMS, REST APIs
Personal Projects
Smart Attendance Management System
Java (Android), PHP, MySQL
Final-year diploma project (SSIP Project Expo 2023): a four-role attendance platform (Admin, Staff, Student, Parent) automating daily attendance via geolocation and secure code-based validation.
Owned the Java/Android backend, PHP REST APIs, and MySQL schema; attendance gated by on-campus geofence checks to prevent remote check-ins.
FaceTrack - Face Recognition System
Python, YOLOv8, DeepFace, dlib, OpenCV
You add a new person by pointing the tool at a video clip or a folder of images; it finds and crops the face, aligns it using dlib landmarks, and saves a DeepFace embedding. No manual labeling needed.
To recognize people, the tool detects each face (YOLOv8), aligns it, converts it into a DeepFace embedding, and matches it against saved faces, adding a name and confidence score. Repo: github.com/Yash-Matariya/faceTrack
Leadership & Activities
Team Lead - SSIP Project Expo 2023
Led a 3-member team to 2nd place at the inter-college hackathon (Gujarat’s Student Startup & Innovation Policy); split tasks, owned the backend, presented to judges.