
Abhinav User
@abhinavuser15
I build practical machine learning and NLP systems people can trust.
What I'm looking for
I've built Focus Guard, a browser-based productivity system that turns browsing activity into focused, distracted, and idle time while preventing short bursts from being overstated as deep work.
During internships with Infosys Springboard and Liberin Technologies, I built complete AI products including Django and FastAPI backends, Chrome extensions, PostgreSQL storage, and React dashboards. For Fake News Detective, I prepared roughly 100K labelled articles, trained five models, and tested performance on unseen news sources.
I care about validating outputs against real data rather than trusting code because it runs. My work spans machine learning, NLP, data preparation, backend development, and user-facing tools that explain results clearly.
Experience
Work history, roles, and key accomplishments
Built a focus tracking system with a Chrome extension, Django backend, and React dashboard. Implemented logic to count deep work blocks and reviewed code to fix bugs.
AI Intern
Liberin Technologies
May 2026 - Jul 2026 (2 months)
Developed a Chrome extension with FastAPI backend to score news articles for manipulation. Prepared datasets, trained models, and evaluated performance on unseen data.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Madras
Bachelor of Science, Data Science
2024 -
Grade: 5.2
Pursuing a Bachelor of Science in Data Science (Foundation Level) with a CGPA of 5.2.
Sharda University
Bachelor of Technology, Computer Science Engineering
2024 - 2028
Grade: 8.3/10.0
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.3/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/buildwithabhinav-aiSalary expectations
Job categories
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