DD

Devashish Dhope

B.Tech Computer Engineering student · AI/ML Engineer Intern

Pune, Maharashtra, India

@devashish_dhope

0 followers

🎓 Bachelor of Technology in Computer Engineering at Vishwakarma University · Graduating 2026

About

Computer Engineering student at Vishwakarma University with experience building AI/ML and full-stack systems using Python, Flask, React.js, and Scikit-learn. Interested in predictive maintenance, generative AI, and applied machine learning.

Experience

  • AI Engineer - Intern
    Tata Consultancy Services (TCS)
    Mar 2026 – Aug 2026

    Architected an end-to-end predictive maintenance platform using Python, Flask, React, and Machine Learning, processing 10,000+ equipment records to generate failure-risk predictions, maintenance alerts, and actionable insights for MSMEs. Implemented a Random Forest classification pipeline with 100 decision trees using Python, Pandas, and Scikit-learn, processing 10,000+ equipment records across 6 operational features to predict machine-failure probability. Engineered 9 REST API endpoints using Flask and Flask-CORS for machine-risk prediction, repair tracking, task assignment, technician workload management, progress updates, and maintenance history. Built a closed-loop maintenance workflow spanning 3 user roles, enabling managers to assign high-risk machines, technicians to update repair progress, and completed tasks to automatically trigger repair closure.

Education

  • Bachelor of Technology
    Computer Engineering · May 2023 – Jul 2026
  • Diploma
    All India Shri Shivaji Memorial Society’s Polytechnic
    Computer Engineering · May 2020 – Jun 2023

Skills

6 to 12 months 6 to 12 months Most of a year behind them.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL PostgreSQL Hugging Face Transformers

Projects

  • MarketWise
    Python, Flask, Scikit-learn, FinBERT

    Full-stack stock prediction platform using Flask, Zerodha API, Tailwind, and JavaScript. Implemented ML+NLP pipelines using technical indicators and FinBERT/VADER sentiment to generate short-term forecasts. Built REST APIs with automatic fallbacks to Yahoo Finance and other sources, improving data reliability. Created a What-If scenario engine performing CAR-based event studies to analyze market impact.

  • Video Dubbing System
    Python, Flask, OpenAI Whisper, Hugging Face Transformers

    AI-powered platform that allows users to upload videos and automatically dub them into multiple languages. Integrated Whisper, MBart, Aksharmukh, and Silero models for speech recognition, translation, transliteration, and voice generation. Developed the backend in Python to handle video and audio processing efficiently. Created a React.js frontend for seamless video uploads, playback, and user experience.

Courses & certifications

  • Solution Architect Intern - Summer 2025 · AU · 2025
  • Deloitte Australia’s Technology Job Simulation
  • Walmart USA Advanced Software Engineering Job Simulation
  • Complete Generative AI Course With Langchian and Huggingface

🏆 Achievements & awards

  • 1st Place – AI Hackathon · 2025

    Vishwakarma University

  • 2nd Place (Zonal Level) – Vyoma Hackathon · 2025

    AISSMS IOIT

  • 2nd Place – Visionary Hackathon · 2023

    Vishwakarma University

  • 2nd Place – Code Arena 3.0 (AI in Healthcare) · 2025

    PCCOE

  • Domain Winner (Fintech) – Fusion 2025, 24-Hour Hackathon · 2025

    Sinhagad Institute

  • Runner-Up – National Level Ideathon Competition · 2025

    Sinhagad Institute

  • 2nd Runner-Up – National Level Project Competition · 2025

    Sinhagad Institute

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