
Tanmay Thorat
@tanmaythorat
I build machine learning and generative AI applications for practical, real-world problems.
What I'm looking for
I've built machine learning and generative AI projects that turn images, documents, and text into usable insights.
At Edunet Foundation in Pune, I developed backend modules for web applications using REST APIs and structured database operations. I also collaborated with developers to identify bugs, optimize performance, and improve code quality.
I built a CNN-based surface crack detection model using 2,000+ concrete images, along with an LSTM sentiment analysis model trained on 5,000+ text samples. My document QA system uses LangChain, FAISS, and Streamlit to provide natural-language answers across uploaded PDFs.
I'm completing a Computer Engineering degree and continue building with Python, TensorFlow, Scikit-learn, NLP, and data analysis tools.
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
Edunet Foundation
Feb 2025 - Mar 2025 (1 month)
Developed backend modules for web applications using REST APIs and structured database operations. Collaborated with a team of developers to identify bugs, optimize performance, and improve code quality.
Education
Degrees, certifications, and relevant coursework
Zeal College of Engineering and Research
Bachelor of Engineering, Computer Engineering
2022 -
Grade: 6.9 / 10.00
Pursuing a Bachelor of Engineering in Computer Engineering with a CGPA of 6.9/10.00.
HP LIFE Foundation
AI for Beginners, Artificial Intelligence
2025 - 2025
Completed the AI for Beginners certification.
Simplilearn
Introduction to Large Language Models, Large Language Models
2025 - 2025
Completed the Introduction to Large Language Models certification.
Marutirao Kote College of Science
Higher Secondary Certificate, Science
2021 - 2022
Grade: 63%
Completed Higher Secondary Certificate (HSC) with 63%.
Swami Vivekananda Vidyalaya
Secondary School Certificate, General
2019 - 2020
Grade: 83%
Completed Secondary School Certificate (SSC) with 83%.
Availability
Location
Authorized to work in
Salary expectations
Social media
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