Hi, I'm Swapnil Sanjay Pawar, a software engineer with a Master of Science in Computer Science and a strong foundation in data structures, algorithms, databases, and distributed systems. I enjoy building innovative, scalable, and reliable software solutions. I've contributed to full-stack projects, AI-powered features, and data-driven platforms using Python, JavaScript/TypeScript, React, Node.js, and cloud services. I'm a quick learner, collaborative team player, and committed to delivering high-quality code and thoughtful design.

Swapnil Sanjay Pawar

Hi, I'm Swapnil Sanjay Pawar, a software engineer with a Master of Science in Computer Science and a strong foundation in data structures, algorithms, databases, and distributed systems. I enjoy building innovative, scalable, and reliable software solutions. I've contributed to full-stack projects, AI-powered features, and data-driven platforms using Python, JavaScript/TypeScript, React, Node.js, and cloud services. I'm a quick learner, collaborative team player, and committed to delivering high-quality code and thoughtful design.

Available to hire

Hi, I’m Swapnil Sanjay Pawar, a software engineer with a Master of Science in Computer Science and a strong foundation in data structures, algorithms, databases, and distributed systems. I enjoy building innovative, scalable, and reliable software solutions.

I’ve contributed to full-stack projects, AI-powered features, and data-driven platforms using Python, JavaScript/TypeScript, React, Node.js, and cloud services. I’m a quick learner, collaborative team player, and committed to delivering high-quality code and thoughtful design.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Javanese
Advanced

Work Experience

Team Lead at Colombo AI
November 1, 2025 - Present
Leading front-end and back-end development for Feed, GenAI, News, and Shop using React, Next.js, and Node.js. Driving team coordination, code reviews, and technical decisions to ensure high-quality, scalable delivery. Integrating generative-AI features and optimizing data flows, performance, and user experience across platforms.
Full Stack Developer Intern at Colombo AI
September 1, 2025 - November 1, 2025
Developed responsive UIs with React, TypeScript, Next.js, and built secure back-end APIs using Node.js/Express. Integrated LLM-based features and agent workflows to enhance automation and content interaction. Improved CI/CD workflows, system architecture, and app performance through cross-functional collaboration.
Graduate Assistant at Rawls College of Business (TTU)
September 1, 2024 - July 1, 2025
Designed an AI-driven quiz generation system in Python that extracts key concepts from lecture videos using NLP and the Gemini AI model; built and deployed a web-based story retrieval platform with keyword-based query matching and interactive UI.
Team Lead at Synapse (Phi Robotics)
September 1, 2022 - April 1, 2023
Engineered a forgery detection system in Python using CFA artifacts, DBSCAN clustering, and Error Level Analysis, achieving 93.04% accuracy in distinguishing real vs fake images. Optimized data pipelines for large-scale forensic analysis, integrating OOP concepts and database interactions. Coordinated team interactions, tracked milestones, and delivered comprehensive project documentation.
Web Development Intern at SkillVertex
January 1, 2022 - February 1, 2022
Developed a Library Management System with a PHP backend and MySQL database, improving book tracking and lending efficiency by 10% as measured by transaction log throughput and reduced manual processing time. Implemented user authentication, book catalog search, and lending features, improving user experience.
Master's Thesis Research: Automated Code Generation from Flowcharts at Texas Tech University
August 1, 2024 - August 1, 2025
Developed a Python-based multi-modal deep learning framework to convert hand-drawn flowchart images into executable code in C, C++, Java, and Python, achieving 91.56% code generation accuracy. Integrated deep learning models (Faster R-CNN, CRNN) to enhance shape detection, text recognition, and graph-based parsing, enabling accurate, multi-language code generation. Resolved variation in flowcharts using OCR, deep learning, and graph-based validation.
Emotion Detection Research at TTU Project
January 1, 2024 - April 1, 2024
Emotion detection through semi-supervised multi-modal deep generative models; designed and implemented a multi-view generative model for emotion recognition, achieving 86.59% accuracy and improving performance by 32% with scalable pipelines and AI-assisted tooling.

Education

Master of Science in Computer Science at Texas Tech University
August 1, 2023 - August 1, 2025
Bachelor of Engineering in Computer Engineering (Honors in Data Science) at Savitribai Phule Pune University
August 1, 2019 - May 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more