
Engineering leader with expertise in AI-driven transformation and modern practices in fintech. Leads frontend and backend teams in adopting agentic AI-based development, enhancing productivity, code quality, and delivery speed. Builds enterprise-grade AI frameworks with emphasis on security compliance and responsible code use. Drives AI solutions that streamline testing, boost efficiency, and enable scalable product development.
Built an agent-based trading platform for real-time market analysis, hedge planning, and trade decision support using chart data, technical indicators, and natural language inputs. Developed using Python, React, and AWS (EC2, S3), powered by OpenAI GPT-5 and Claude Teams, achieving over 80% strategy accuracy through intelligent multi-agent decision workflows.
Designed an agent-driven system that converts natural language into optimized database queries for MongoDB and Snowflake, enabling non-technical users to analyze complex datasets without writing code. Implemented using Python, React, AWS, and modern LLM orchestration with OpenAI GPT-5 and Claude Teams.
Developed a multi-agent testing solution that automates application testing end-to-end, allowing business users and non-technical stakeholders to execute test scenarios directly on physical devices. Built using Python (Flask), React, and AWS, leveraging OpenAI GPT-5 and Claude Teams for intelligent test generation, execution, and validation.