AI & ML Engineer | Full-Stack AI Developer Building intelligent systems and end-to-end AI products. Open to impactful collaborations and open-source work.
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DMI College of Engineering
ML Engineer
June 12, 2026 – Present
Water-Depth-Detection
May 30, 2026 – Present
IoT-Based Water Depth Monitoring & Automatic Control System
View ProjectControlOne-EY
February 26, 2026 – Present
Full Stack Developement Course Project by Edunet Foundation
View ProjectAgrismart.AI
January 17, 2026 – Present
An Open Source Project for Revolutionize Farming and making Farmers Independent in decision making and improving yield using advanced AI and other technologies..
View ProjectPick_Me_A
August 22, 2025 – September 9, 2025
An immersive cinematic hub for discovering anime, movies, and music. Find your next favorite entertainment with AniePick, CinePick, and MeloPick.
View ProjectEduBuddy.Ai
June 2, 2025 – August 5, 2025
AI-Powered Learning Platform(under Development)
View ProjectHealthHub.Ai_v1-Prototype
May 3, 2025 – May 3, 2025
A full-stack AI-powered health platform for patients, doctors, and administrators. It integrates health monitoring, disease prediction, personal trainers, and a chatbot assistant into a single unified experience.
View ProjectGold-price-prediction
February 8, 2025 – February 9, 2025
This App is For calculating Gold Price in INR using USD/INR Exchange Rate
View ProjectEdunet_AI_internship_2025
January 25, 2025 – April 18, 2025
This app is used for Human pose Detection with more advanced pose estimation models !
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and problem-solving, which aligns with an ML Engineer role. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit. The single listed work experience as 'ML Engineer' starting in 2026 suggests a future or aspirational role, not current professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.