Skip to content

Megh Dave

@cloud450

Deeply invested in Machine Learning

Deeply invested in Machine Learning

Skill iconPython
Machine Learning
Deep Learning
Frontend
langchain

Mumbai, India

πŸš€ Megh Dave

AI
Deep Learning
NLP
Cloud

πŸ“ Mumbai, Maharashtra
πŸ“§ [email protected]
πŸ“ž 9222056520
πŸ”— GitHub: Megh06


πŸ† About Me

I am a Computer Science (Data Science) undergraduate with a strong focus on AI/ML, Deep Learning, NLP, and Multimodal Retrieval Systems. I enjoy building end-to-end AI solutionsβ€”from research and modeling to deploymentβ€”while keeping solutions scalable, interpretable, and business-friendly.

My interests lie at the intersection of Machine Learning research, Generative AI, and real-world applications, with hands-on experience in PINNs, time-series modeling, multimodal RAG systems, and AI-powered learning platforms.


πŸŽ“ Education

Dwarkadas J. Sanghvi College of Engineering
B.Tech in Computer Science (Data Science)
Honors in Computational Finance
πŸ“Š CGPA: 8.93
πŸ“… Aug 2023 – Present
πŸ“ Mumbai, Maharashtra


🧠 Experience

πŸ”¬ ML Research Intern β€” IIT Bombay

πŸ“… Jun 2025 – Present

  • Identified modeling gaps in existing plant transpiration studies and proposed an inverse Physics-Informed Neural Network (PINN) framework to estimate latent plant parameters.
  • Integrated LSTM-inspired temporal encodings for better representation of time-dependent dynamics.
  • Applied TimeGAN-based noise injection to improve robustness and generalization under sparse and noisy observations.
  • Worked on research-grade modeling, focusing on interpretability and physical consistency.

πŸ› οΈ Skills

πŸ’» Programming Languages

  • Python, HTML, CSS

βš™οΈ Frameworks & Tools

  • FastAPI, Flask, Streamlit
  • React, Bootstrap, Tailwind CSS
  • Docker

🧠 AI & Machine Learning

  • Supervised Learning & Feature Engineering
  • Deep Learning (CNNs, RNNs, LSTMs)
  • Physics-Informed Neural Networks (PINNs)
  • Generative AI & TimeGANs
  • NLP, Information Retrieval, RAG Pipelines

πŸ—„οΈ Databases & Cloud

  • MySQL, ChromaDB
  • Cloudinary
  • Git, GitHub

🌟 Projects

πŸ“š OOPS!IDidntStudy β€” Last-Minute AI Study Platform

PanicNotes

  • AI-generated consolidated notes from PDF, DOCX, PPTX, and Word files.
  • Merges multi-source content into a single streamlined study document.

CramBot & Quizzard

  • CramBot answers questions using user-uploaded notes.
  • Quizzard generates adaptive quizzes for exam preparation.

Tech Stack:

Python Β· Deep Learning Β· NLP Β· React Β· FastAPI Β· Vercel Β· Streamlit


🧠 JigyasaAI β€” Multimodal Retrieval-Based Chatbot

  • Users upload PDFs and ask contextual questions.
  • Retrieves relevant images + text answers, unlike chatbots focused only on image generation.
  • Uses CLIP-based embeddings for multimodal alignment.

Tech Stack:

Python Β· CLIP Models Β· ChromaDB Β· Cloudinary Β· APIs Β· Streamlit


🌿 Potato Leaf Disease Detection

  • Built a deep learning classifier (99%+ accuracy) for real-time potato leaf disease diagnosis.
  • Supports user-uploaded images with fast inference.

Tech Stack:

Python Β· TensorFlow Β· FastAPI Β· Streamlit


🏁 Hackathons & Achievements

  • πŸ₯ˆ 2nd Runner-Up, Co-Code Hackathon (Hybrid Mode), DJ Sanghvi College
  • πŸ₯ˆ 2nd Runner-Up, DJS Sanshodhan 2025

πŸ“œ Certifications

  • AWS Academy Graduate – Machine Learning Foundations
  • AWS Academy Graduate – ML with NLP Foundations

🌐 Co-Curricular Activities

DJS S4DS β€” Marketing Associate

πŸ“… Aug 2024 – Present

  • Identified and engaged sponsors to secure funding and partnerships.

DJS Nova β€” Publicity Associate

πŸ“… Sep 2024 – Present

  • Managed social media and offline publicity to maximize event engagement.

πŸš€ Mission

To bridge research and real-world impact by building robust, scalable, and intelligent AI systemsβ€”from theory-driven models to production-ready applications.


⭐ If you find my work interesting, feel free to explore my repositories or connect with me!