Pushkar Mhatre`
@pushkkaarr
Computer engineer specializing in machine learning and full‑stack web development.
What I'm looking for
I am a Computer Engineering student with a strong academic record and practical experience in machine learning and full‑stack web development.
I have completed an intensive internship program at Ural Federal University where I built a furniture recommendation system with a Next.js frontend and integrated AR visualization using Google Model Viewer.
My project work includes a decarbonization pathway modeler (Top 5 finalist, Smart India Hackathon), a conversational AI for orphaned children fine‑tuned on large dialogue data, and a Faster R‑CNN weapon detection system deployed with a real‑time inference pipeline.
I bring hands‑on experience deploying production dashboards and models (Vercel, Render, MongoDB), strong ML results (Random Forests at 92% accuracy, Faster R‑CNN at 82%), and a record of competition recognition and certifications in cloud and AI.
Experience
Work history, roles, and key accomplishments
AI Engineer
Orphan Companion
Jan 2025 - May 2025 (4 months)
Fine-tuned Gemini 1.5 Flash on an 80,000+ dialogue dataset to build conversational AI for emotional support and deployed an admin dashboard to manage adoption workflows, scholarship tracking, and donation coordination.
Decarbonization Modeler
GreenMines
Aug 2024 - Feb 2025 (6 months)
Built an emission-tracking platform using four Random Forest models achieving 92% accuracy to forecast monthly and annual emissions and delivered a dashboard with multiple carbon-neutrality pathways, real-time OSM simulation, automated PDF reporting, and a carbon credit calculator.
Project Intern
Ural Federal University
Jul 2024 - Jul 2024 (0 months)
Completed a 4-week ML and full-stack web development program and built a furniture recommendation system with user preference filtering across 500+ items; integrated Google Model Viewer for AR product visualization with interactive 3D preview and spatial placement.
Computer Vision Engineer
Weapon-Detection-Using-Fast-R-CNN
Aug 2025 - Present (4 months)
Developed a Faster R-CNN model trained on 14,000+ annotated images achieving 82% accuracy for firearm detection and implemented a real-time video inference pipeline that renders bounding boxes and extracts evidence frames.
Education
Degrees, certifications, and relevant coursework
University of Mumbai
Bachelor of Engineering, Computer Engineering
2022 -
Grade: 9.8 / 10.0
Activities and societies: Ranked 1st in class (2022-2025); participated in national and state-level hackathons; project work in ML and full-stack development.
Pursuing a Bachelor of Engineering in Computer Engineering with strong academic performance (CGPA: 9.8/10) and ranked 1st in class across 2022–2025.
Availability
Location
Authorized to work in
Portfolio
pushkar-portfolio-ashy.vercel.appSalary expectations
Job categories
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