Vinay User
@vinayuser6
Product Engineer (Web + AI) building React and Python ML prototypes that turn data into demo-ready features.
IndiaWhat I'm looking for
I am a Product Engineer focusing on web and applied AI, combining React frontend development with Python-based machine learning to build practical, demo-ready prototypes. I have designed end-to-end workflows and structured output templates for projects such as LocalMind OS, SkillSense AI, and MoM Automation.
In internships I cleaned and structured large feedback datasets, implemented customer-insights pipelines, and evaluated multiple ML models to improve baselines by 5–12%. I prioritize clear documentation, version-controlled code, and reproducible experiments hosted in well-maintained GitHub repositories.
I am seeking 2026 internships in Product Engineering, Frontend, or Applied AI where I can ship real features, learn at scale, and contribute to product-focused ML systems.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Infosys Springboard
Jan 2025 - Present (1 year 5 months)
Cleaned and structured 1,000+ customer feedback records in Python (Pandas) and implemented a customer-insights pipeline that surfaced top themes and sentiment, reducing preprocessing time ~60% and cutting React.js noise by ~30%.
AI/ML Intern
Edunet Foundation
Jan 2024 - Present (2 years 5 months)
Preprocessed datasets and trained/evaluated 3+ ML models using scikit-learn, improving baseline performance 5–12% through hyperparameter tuning and feature engineering, and documented experiments on GitHub.
Education
Degrees, certifications, and relevant coursework
Parul University
Bachelor of Technology, AI & ML
2023 -
Grade: 8.0 CGPA
Activities and societies: Smart India Hackathon (Web Development) team participant (2025)
Pursuing B.Tech in AI & ML with coursework in Machine Learning and Data Science and participation in Smart India Hackathon (Web Development) in 2025.
Sri Shirdi Sai Junior College
Class XII (CBSE), Senior Secondary
2021 - 2023
Grade: 79%
Completed Class XII (CBSE) with a focus on senior secondary studies and achieved a 79% score.
Sri Prakash Vidyaniketan
Class X (CBSE), Secondary
Grade: 86%
Completed Class X (CBSE) with an 86% score.
Tech stack
Software and tools used professionally
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