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Pushkar Mhatre

@pushkkaarr

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Computer engineer specializing in machine learning and full‑stack web development.

India

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What I'm looking for

I seek roles combining ML and full‑stack development where I can deploy models to production, work on impactful products, and grow in AI engineering and cloud deployment.

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.

Generative AI Model Fine Tuning Dashboard Development Vercel Data Management

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.

Next.js JavaScript AR (Google Model Viewer)Full Stack Web Development User Preference Filtering Git

Computer Vision Engineer

Weapon-Detection-Using-Fast-R-CNN

Aug 2025 - Present (6 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.

Computer Vision Python Data Annotation Video Processing OpenCV

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.