Open to opportunities

atharva bargir

@atharvabargir

Message

Motivated Full-Stack Developer with expertise in AI applications.

India

Message

What I'm looking for

I am looking for a dynamic work environment that fosters innovation and collaboration, where I can contribute to impactful projects and continue to grow my skills in AI and full-stack development.

I am a motivated and versatile Full-Stack Developer with hands-on experience in web development and AI-based applications. Proficient in a wide range of technologies, including Node.js, Express, Python, JavaScript, and HTML/CSS, I have a proven ability to build responsive, efficient, and scalable web solutions. My strong foundation in computer vision has allowed me to integrate AI models into real-world applications effectively.

During my Generative AI internship, I developed a real-time object detection system using YOLO, gaining expertise in applying machine learning models to solve real-world challenges. I am passionate about leveraging AI to create innovative, user-focused solutions and am committed to continuously learning and exploring new technologies to drive impactful results.

Experience

Work history, roles, and key accomplishments

AI Project Intern

Infosys Springboard

Oct 2024 - Present (8 months)

Developed an Aadhaar document verification system, achieving over 98% accuracy in field detection and text extraction. Applied OCR techniques to extract text with over 95% accuracy in character recognition.

Object Detection Text Comparison Algorithms Machine Learning

Ecommerce Website

PVG's College Of Science and Commerce

Feb 2024 - Present (1 year 4 months)

Built an e-commerce platform using PHP, JavaScript, HTML, CSS, and SQL with a clean and responsive UI. Implemented secure login using MD5 encryption for user authentication.

PHP JavaScript HTML CSS SQL MySQL

Intelligent Road Hazard Detection System

MES Abasaheb Garware College Pune

Jan 2024 - Present (1 year 5 months)

Built a real-time road hazard detection system using React and FastAPI, integrating YOLO to accurately identify potholes, speed bumps, and living beings with over 95% detection accuracy. Displayed real-time hazard alerts to notify users instantly of nearby dangers.

React fastAPI YOLO TomTom Maps API Real Time Systems

Education

Degrees, certifications, and relevant coursework

M.E.S.Abasaheb Garware College

M.Sc., Computer Science

Grade: 8.33 GPA

Currently pursuing advanced studies in computer science, focusing on specialized areas such as artificial intelligence, machine learning, and data analytics. Engaged in rigorous coursework and research to deepen understanding of complex computational theories and their practical applications.

P.V.G's College Of Science and Commerce

B.Sc., Computer Science

Grade: 8.58 GPA

Completed a comprehensive Bachelor of Science program in Computer Science, building a strong foundation in programming languages, data structures, algorithms, and software development principles. Gained practical experience in web development and database management through various projects.

Fergusson College

Higher Secondary Certificate, Science

Grade: 8.53 GPA

Obtained a Higher Secondary Certificate with a focus on Science subjects, including Physics, Chemistry, Mathematics, and Computer Science. Developed foundational knowledge in scientific principles and analytical thinking, preparing for higher education in technical fields.