Mann Sapariya

Mann Sapariya

📌 About Me

Hi! I'm Mann Sapariya, a passionate Machine Learning & Full-Stack Developer with a strong background in AI, Deep Learning, and Web Development. I love building intelligent solutions and working on real-world applications of technology. Currently pursuing B.Tech in Information Technology at Dwarkadas J. Sanghvi College of Engineering (2022-2026) with a CGPA of 8.22.

📍 Mumbai, India📧 [email protected]🔗 GitHub

🚀 Skills

🧠 Machine Learning & Deep Learning

Algorithms: Linear & Logistic Regression, Decision Trees, Random Forest, KNN, K-Means

Frameworks: PyTorch, TensorFlow

Computer Vision: OpenCV, EfficientNet, ResNet, MobileNet, Vision Transformers, EfficientNet with RNN

NLP: Hugging Face (BERT, RoBERTa, mBERT, XLM-R), NLTK

Statistics & Data Analysis: Probability, Hypothesis Testing, Bayesian & Frequentist Inference

💻 Programming & Web Development

Languages: Python, SQL, Java, C, C++, JavaScript, HTML, CSS

Backend: Flask

Data Visualization: Tableau

Soft Skills: Teamwork, Communication

💼 Professional Experience

🔹 Datamatics TruCap+ (Project Trainee) | Feb 2025 - Mar 2025

Working on LLMs like DONUT, LayoutLMv3, LLaMA, Mistral 7B for invoice & receipt processing.

Developing deep learning models for structured data extraction from financial documents.

🔹 AIESEC in Mumbai (Junior Manager - Incoming Corporate Sector) | Jan 2025 - Aug 2025

Led contract negotiations with corporate clients, driving strategic partnerships.

Managed CRM data, ensuring accurate client records for outreach via Email & LinkedIn.

🏆 Achievements & Hackathons

🏅 Winner - AWS i-Hack 25 (IIT Bombay)🏆 1st Prize for AI-powered financial fraud detection models (Spam Messages, Fraud Calls, Deepfake VKYCs).

🥈 Winner - Tech-a-thon🏆 2nd Prize in a 24-hour hackathon for developing an urban planning full-stack platform with GenAI-based analysis, predictions, and recommendations.

🏆 Finalist - PICT TechFiesta 2025🏆 Built a unified healthcare dashboard in a 24-hour hackathon.

🏆 Winner - PLANNERED 4.0 Hackathon🏆 1st Prize for an agro-tourism business model & tech solution.

📂 Notable Projects

🔍 DeepFake Detection

🚀 Achieved 99.81% accuracy using a ViT 224 model trained on 34,000 images.

🦴 Bone Fracture Detection

🩺 Deployed ResNet-50 model with 97% train accuracy & 80% test accuracy on a dataset of 4,000 images.

🔡 CAPTCHA Detection

🔠 Built a PyTorch model with EfficientNet + RNN, trained on 1,700 samples for high-precision decoding.

✈️ Flight Price Predictor

📊 Achieved 91% precision using Linear Regression & data analysis.

🌐 Stock Market Analysis

📈 Analyzed Kaggle stock market data & visualized trends.

📜 Sentiment Analysis Research

📊 Conducting a comparative study on multilingual sentiment analysis (English & Hindi) using BERT, XLM-R, T5, XLNet, GPT-3, LSTM, SVM, LazyClassifier.

📜 Certifications

✅ AWS Academy - Machine Learning Foundations✅ AIESEC in Mumbai - Letter of Recommendation✅ Course Completion Certificates

🤝 Let's Connect!

🔗 GitHub📧 [email protected]📍 Mumbai, India

🎯 Open to collaborations, research projects, and internship opportunities! 🚀