• Developed and fine-tuned a Customer Support Chatbot using OpenAI GPT 3.5, to efficiently manage the customer inquiries.• Implemented Text Extraction from Customer Documents using Tesseract OCR and EasyOCR to verify the customerinformation against government data source.• Developed NER models using NLP to accurately extract Personal Details, Bank Details, and Employment Details from Customer Documents.• Implemented Face Extraction from Customer Documents using Haarcascade and MTCNN and matching it against Live Customer Images using Facenet.• Implemented Live Fraud Detection using Faiss AI which improved fraud prevention and significantly reduced response times.• Implemented 1D, 2D Barcode and MRZ Code Extraction from Customer Documents to verify the customerinformation.• Leveraged Amazon EC2 instances forrobust hosting, ensuring high availability and scalability while optimizing cost-efficiency.

• Developed 2 binary classification models to predict real-time Sim-Swap Frauds, resulting in approx 100 million revenue savings.• Created 230 multi-classification models to predict the time intervals at various milestones in Customer Telco Journey leading to better customer experience and operational efficiency.• Implemented Docker Compose for efficient development, orchestrated Django and PostgreSQL services, thereby optimizing coding workflows and security.• Designed multiple Web APIs using Flask and Django REST Framework integrated with Postgres Database and Kafka.

Designing UIs, Ensuring Cross-Platform Optimization for mobile phones and ensuring responsiveness of applications.