@cloud450
Megh Dave
@cloud450
Deeply invested in Machine Learning
Deeply invested in Machine Learning
Mumbai, India
π Megh Dave
π Mumbai, Maharashtra
π§ [email protected]
π 9222056520
π GitHub: Megh06
π 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 solutionsβfrom research and modeling to deploymentβwhile 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.
π Education
Dwarkadas J. Sanghvi College of Engineering
B.Tech in Computer Science (Data Science)
Honors in Computational Finance
π CGPA: 8.93
π
Aug 2023 β Present
π Mumbai, Maharashtra
π§ Experience
π¬ ML Research Intern β IIT Bombay
π Jun 2025 β 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.
π οΈ Skills
π» Programming Languages
- Python, HTML, CSS
βοΈ Frameworks & Tools
- FastAPI, Flask, Streamlit
- React, Bootstrap, Tailwind CSS
- Docker
π§ 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
ποΈ Databases & Cloud
- MySQL, ChromaDB
- Cloudinary
- Git, GitHub
π Projects
π 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
π§ 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
πΏ 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
π Hackathons & Achievements
- π₯ 2nd Runner-Up, Co-Code Hackathon (Hybrid Mode), DJ Sanghvi College
- π₯ 2nd Runner-Up, DJS Sanshodhan 2025
π Certifications
- AWS Academy Graduate β Machine Learning Foundations
- AWS Academy Graduate β ML with NLP Foundations
π Co-Curricular Activities
DJS S4DS β Marketing Associate
π Aug 2024 β Present
- Identified and engaged sponsors to secure funding and partnerships.
DJS Nova β Publicity Associate
π Sep 2024 β Present
- Managed social media and offline publicity to maximize event engagement.
π Mission
To bridge research and real-world impact by building robust, scalable, and intelligent AI systemsβfrom theory-driven models to production-ready applications.
β If you find my work interesting, feel free to explore my repositories or connect with me!