👤 Personal

🎖️ Credentials

🎯 Currently Focused On

• 🤖 Production-ready ML pipelines
• 💬 NLP-powered backend systems
• 👁️ Deep Learning & Computer Vision
• 🚀 End-to-end AI product development

💬 Ask Me About

• Python · FastAPI · Flask · REST APIs
• NLP-based classification systems
• Deep learning with PyTorch
• Building AI products from scratch

An AI-driven analytics platform that classifies transactions using NLP, scores financial health, detects anomalies, and surfaces spending patterns through real-time dashboards.

Key highlights:

• NLP transaction classifier with confidence scoring
• Financial health scoring and anomaly detection engine
• Scalable REST APIs with modular architecture
• Multi-source ingestion: manual, JSON, CSV

A deep learning crowd counting system using CSRNet and density map regression trained on ShanghaiTech dataset, deployed as a real-time REST API.

Key highlights:

• CSRNet model trained in PyTorch from scratch
• Video frame to density map to count pipeline
• Flask REST API with structured JSON inference
• Evaluated with MAE and MSE across crowd densities