Insurance Risk Management- Led the development of data-driven solutions to assist brokers in managing and analyzing insurance data, from policies and coverages to brand-specific risk management advice.- Automated workflows by integrating third-party applications, including Broker Buddha for quote applications and FrontApp CRM for enhanced customer service efficiency.- Developed and implemented AI-based data parsing for complex PDF documents, transforming insurance policy data into structured formats (Markdown) to facilitate LLM parsing, reducing manual labor and improving data accuracy.- Technology Stack: Python, GraphQL, ReactJS, Relay, Claude LLM, Typescript, Vercel, Render, PostgreSQL- Position: Senior Software Engineer - AI Prompt EngineerFintech - Investment Fund:- Engineered a platform to streamline investor onboarding, automating the KYC journey and enhancing PDF document generation for a seamless experience.- Employed industry-best security practices, implementing magic links and OTP authentication to safeguard each user interaction from login through submission- Responsible for building a form-extensive Web application that can adapt quickly with changes- Position: Technical Lead - Senior Software Engineer

- Frontend Project Lead ensuring quality and scalability following Enterprise Standards.- Improving the performance of frontend in all modules by using the Monorepo structure in codebase and MicroFrontend. Tech stack: ReactJS, Lerna, MicroFrontend, Webpack, ViteJS.

- Design system analyzing human-behaviors/detecting events on videos using Deep learning models: detection, classification, 3D estimation- Developing core components including media-convert tools for video files from different NVR systems, ingestion pipeline, and backend services.- Contributing in making decisions on infrastructure ingesting thousands of video files daily with machine learning models by using Kubernetes pipeline and microservices.- Building applications to help stakeholders upload files up-to 1TB to our AWS infrastructure , inspecting the hundreds of videos daily and monitoring the system- Participate in full development of data life-cycle

- Work as full-stack desktop developer using C# and WPF.- Fine tune and improve performance of existing system working with big data.