AI-Powered Traffic Detection & Segmentation System
Summary
Developed an AI traffic monitoring system using YOLO and PyTorch for real-time vehicle and other detection.
About
Highly driven CS graduate student with 3+ years of software engineering experience, specializing in AI/ML, computer vision, and full-stack development. Proven ability to design and deploy scalable, real-time intelligent web applications with REST APIs and inference pipelines, leveraging expertise in Python, TensorFlow, PyTorch, React, and cloud platforms like AWS and Azure. Eager to apply advanced AI/ML skills to build autonomous LLM-powered agents, as demonstrated by an upcoming AI Agent Developer Intern role at NeuralSeek.
Work
YSTEMandChess INC.
|Software Engineering Intern
Arlington, Texas, US
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Summary
Currently developing robust backend services for a MERN stack EdTech application, deploying components on Azure with CI/CD pipelines, and collaborating via Git/GitHub.
Highlights
Developing robust backend services for a MERN stack EdTech app, leveraging Node.js, Express, MongoDB, and React to enhance educational platforms.
Deploying application components on Azure via CI/CD pipelines, ensuring seamless integration and version control through Git/GitHub collaboration.
Kudos Intech Software PVT. LTD
|Software Engineer
Gandhinagar, Gujarat, India
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Summary
Engineered full-stack web applications with React, JavaScript, PHP, and SQL, significantly boosting performance and resolving bugs through optimization.
Highlights
Developed comprehensive full-stack web applications using React, JavaScript, PHP, and SQL, ensuring robust RESTful API integration and rigorous testing.
Improved application performance by 30% and enhanced system stability by resolving critical bugs through extensive optimization, debugging, and Git/GitHub collaboration.
Silver Webbuzz PVT.LTD
|WordPress Developer
Gandhinagar, Gujarat, India
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Summary
Designed and maintained custom e-commerce sites using PHP, WordPress, WooCommerce, and Elementor, reducing load times by 20% through strategic caching and database optimization.
Highlights
Designed and maintained custom e-commerce platforms using PHP, WordPress, WooCommerce, and Elementor to meet diverse client requirements.
Optimized website performance, reducing load times by 20% through effective caching strategies and database optimization, in collaboration with senior developers using Git.
Multidots Solution PVT. LTD
|Development Trainee
Gandhinagar, Gujarat, India
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Summary
Enhanced WordPress-based platforms with customized plugins and frontend improvements, optimizing backend performance by 15% through PHP-based optimization and SQL query tuning.
Highlights
Enhanced WordPress-based platforms by developing customized plugins and implementing frontend improvements, streamlining client operations and user experience.
Boosted backend performance by 15% through meticulous PHP-based optimization and SQL query tuning.
Education
University of Texas at Arlington
Arlington, Texas, United States of America
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Master of Science
Computer Science
Kadi Sarva Vishwavidyalaya
Gandhinagar, Gujarat, India
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Master of Science
Information Technology
Kadi Sarva Vishwavidyalaya
Gandhinagar, Gujarat, India
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Bachelor of Science
Information Technology
Awards
Mastering AI Agents: Building Production-Ready Applications (AWS AI Workshop) at Amazon, Austin 2025
• Hands-on training in Bedrock, SageMaker, LangGraph, Crew AI, and MCP Server. • Explored observability with Lang fuse and AI deployment at scale with cost-performance analysis
Programming Competition Participant -University of Texas at Arlington
Recognized for strong problem-solving and debugging skills under pressure in real-time algorithmic coding challenges.
Skills
Programming Languages
Python, JavaScript, TypeScript, React, SQL, PHP, HTML, CSS.
Frameworks/Tools
Django, Node.js, Flask, React, Docker, Git, REST APIs, Tkinter.
AI/ML Technologies
PyTorch, TensorFlow, YOLO, OpenCV, Scikit-learn, NLP, Chroma DB, Claude, Cursor.
Databases
PostgreSQL, MongoDB, Oracle SQL, NoSQL.
Cloud & DevOps
AWS, Azure, CI/CD, Jenkins Pipeline, GitHub, Agile, Debugging.
Core Computer Science Concepts
OOP, Data Structures, Algorithms, CNNs, LLMs, KNN, Data Modeling, Performance Optimization.
Projects
LeNet-5 CNN on MNIST
Summary
Implemented and trained the LeNet-5 architecture, achieving 99%+ accuracy on MNIST.
KNN from Scratch with K-Fold Cross-Validation
Summary
Developed KNN algorithm from scratch and validated using custom k-fold cross-validation logic.
IMDB Movie Recommender (NLP + Embedding Search)
Summary
Created a Streamlit app using vector embeddings for movie recommendations via semantic search.
Sorting Algorithm Visualization Tool
Summary
Developed an interactive GUI tool for real-time all sorting algorithm visualization to enhance learning experiences.
Public Bus Transportation System (Database)
Summary
Designed and implemented a relational DB using Oracle SQL, including EER diagrams and BCNF normalization.