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AI Engineer with 1+ years in GenAI, ML & Computer Vision with hands-on solution building.
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Prathmesh Powar is an accomplished AI/ML Engineer with over 1.5 years of hands-on experience in developing solutions across AI, Machine Learning, Generative AI, and Computer Vision. He possesses strong technical skills in Python, JavaScript, various AI/ML frameworks like PyTorch and TensorFlow, and expertise in databases including SQL, NoSQL, and Vector Databases. Prathmesh has a proven track record of delivering impactful projects, including a GenAI Home Styling Studio, a Sales Executive Daily Work Report System, and a Predictive Health Monitoring Platform, demonstrating his ability to apply advanced technologies to real-world problems.
D. Y. Patil Agriculture and Technical University, Talasande
B.Tech · CSE (DS)
August 1, 2023 – June 30, 2027
NMJC colleges kolhapur
12th · HSC
N/A – May 31, 2022
Tata Group (Forage)
Generative AI & Data Analytics Simulation
November 1, 2025 – November 30, 2025
India
GenAI Home Styling Studio
June 1, 2026 – June 1, 2026
Built full-stack Flask app using Gemini API for multimodal room image analysis and budget design generation. Integrated Sarvam AI API to deploy a multilingual voice assistant supporting regional language workflows. Engineered an image validation pipeline using OpenCV and Pillow to filter invalid uploads prior to AI inference. Developed a conversational commerce engine linking SQLAlchemy catalogs with dynamic in-chat booking.
View ProjectSales Executive Daily Work Report (DWR) System
June 1, 2026 – June 1, 2026
Developed a full-stack Python and MySQL app for managers to efficiently assign, track, and review workflows. Engineered a dynamic analytics dashboard with Chart.js to monitor real-time field performance metrics. Integrated live location verification using HTML5 Geolocation and OpenStreetMap APIs for field accountability. Built responsive Bootstrap 5 modules handling status tracking and automated employee leave requests.
View ProjectHealthSenseAI – Predictive Health Monitoring Platform
June 1, 2026 – June 1, 2026
Built a predictive disease detection system using FastAPI to process continuous streams of smartwatch data. Developed an evaluation algorithm using Scikit-learn and NumPy to calculate real-time health risk scores. Created a Python telemetry data pipeline to simulate wearable device streams for back-end inference. Built a React and Recharts data visualization frontend to map dynamic vital trends and flag critical events.
View ProjectGenerative AI & Data Analytics Job Simulation
Tata Group (Forage)
June 1, 2026 – Present
Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
Microsoft Certified: Power Platform Fundamentals (PL-900)
Microsoft
June 1, 2026 – Present
SQL (Advanced) Certification
Authorized Provider
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including GenAI, health monitoring, and business reporting systems, indicates a broad interest in applying AI across various domains. Participation in algorithmic coding competitions and open-source contributions suggests a proactive and growth-oriented individual. The target role of AI Engineer aligns well with the candidate's demonstrated skills and interests, particularly in building hands-on AI/ML solutions.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and participation in simulations. Leadership potential is indicated by the Team Lead role in university projects. Contribution to open-source ML repositories suggests a collaborative and learning-oriented mindset. However, the experience is primarily academic and simulation-based, which might require more operational guidance in a professional setting.