Shubham Sharma

Document Management Platform:

• Built a secure, enterprise-grade platform to upload, organize, and manage exchange-related documents in a structured and compliant manner.
• Integrated a Retrieval-Augmented Generation (RAG) system, enabling natural language querying of documents, and improving search efficiency across teams.
• Developed scalable microservices and REST APIs for ingestion, metadata management, and high-volume querying, with low latency and fault tolerance.

PM Dashboard:

• Created a centralized dashboard for portfolio managers to monitor global market latency, AWS infrastructure, network topology (NetBox), and tenant information.
• Improved operational visibility and decision-making through real-time metrics and actionable insights.

Enterprise AI Platform:

• Contributed to a GenAI-powered enterprise platform to automate workflows, reduce costs, and enhance scalability.
• Developed core features, including role-based access control, project management pipelines, and integrations with GitHub, Amazon S3, Jira, and Azure authentication.
• Enabled the deployment of containerized micro-frontend apps for efficient AI-driven project management.

Document Fraud Detection System:

• Solely designed and built an end-to-end AI application to detect fraudulent documents.
• Developed the UI in React and the backend in Django, handling document ingestion, fraud detection logic, and reporting.
• Delivered a scalable, production-ready system that significantly reduced manual fraud detection efforts.

Call Intelligence system:

• Built an app to visualize and analyze audio call data between agents and customers.
• Added features for agent scoring, and behavior evaluation, with dynamic reporting.