Project: AI-Driven Billing Intelligence System (BNY)
Company: Bank of New York (Product-based Company)
Built an end-to-end AI-powered Billing Intelligence System for BNY combining ML anomaly detection, dynamic billing-rule validation, full-stack dashboards, and a conversational AI chatbot.
Developed ML models to detect billing anomalies, sudden spikes/drops, and unusual usage patterns. Integrated AI agents that validate client billing data against dynamic business rules. Built a full-stack dashboard (Angular+ Flask) for monitoring metrics and reviewing anomalies.
Implemented an AI chatbot capable of answering client-specific billing questions, explaining detected anomalies, and summarizing key insights from billing data. Deployed backend APIs and ML services to Google App Engine for scalable enterprise use.
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42
AI Exam Generator (QuestionWhiz)
Tech: Django, LangChain, LLM, PostgreSQL
Description:
Built a system that generates MCQs, fill-ups, and descriptive questions from uploaded PDFs/DOCX. Includes LangChain document loaders, question generation prompts, and a full admin dashboard.
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39
EasyWithAI (AI Text Automation)
Tech: React, Django, LLM, LangChain
Description:
Created an AI-powered platform for entity extraction, translation, and email generation. Integrated custom prompt engineering and LLM pipelines.
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55
Full-Stack Dashboard (React + Django)
Tech: React, Django REST, PostgreSQL
Description:
Developed a secure full-stack dashboard with authentication, CRUD, roles, and analytics. Included REST APIs and mobile-responsive UI.