Scaled WhatsApp ARR 25× at HighLevel (1.28M to 89.74M messages/month, +6,900% growth).
Product Manager with 5+ years B2B SaaS experience. M.Sc AI/ML from Gujarat University.
Ex-ClickPost | Ex-Quicko | Technical PM bridging business strategy & engineering.
Passionate AI researcher with expertise in building practical deep learning solutions
Currently leading WhatsApp product at HighLevel, achieving 25× ARR growth and scaling from 1.28M to 89.74M messages/month (+6,900%). Managed global tax compliance across 80+ countries and led Wallet & Payments infrastructure. Ex-ClickPost, Ex-Quicko.
I hold an M.Sc in Artificial Intelligence and Machine Learning from Gujarat University where I focused on Deep Learning and Computer Vision. My background enables me to bridge the gap between business strategy and technical execution.
I specialize in building end-to-end AI systems - from research and model development to production deployment. My portfolio includes production-ready applications like a Stock Price Prediction Platform and an Oral Cancer Detection System with real-time web interface.
Comprehensive expertise in AI/ML technologies and frameworks
Experience AI systems in action - fully functional implementations
Try it now! Upload an oral cavity image and get real-time AI analysis with confidence scores and medical recommendations. Built with Flask and TensorFlow.
Comprehensive deep learning projects developed during my master's research
Developed and compared LSTM and GRU architectures for predicting stock prices of NSE-listed companies. Analyzed 24+ years of historical data from Hindustan Unilever Ltd. (HINDUNILVR.NS) achieving high prediction accuracy and comprehensive technical analysis.
Built an automated oral cancer detection system using CNN and Transfer Learning with ResNet50. The system classifies oral cavity images with high accuracy, featuring a Flask web application for real-time predictions and assisting in early cancer diagnosis.
Academic contributions and published research papers
Comparative study of LSTM and GRU neural networks for predicting stock prices on the National Stock Exchange of India. Comprehensive analysis of model performance and practical implications for algorithmic trading.
Download PDFComplete thesis documentation including methodology, implementation details, comprehensive results analysis, and performance evaluation of deep learning models for financial time series forecasting.
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