Projects I worked on. Each of them containing its own case study.
A stock trading agent that uses LLMs to make trading decisions based on historical data, company fundamentals, and market news.
A document search project leveraging agentic LLMs for efficient recall retrieval. It quickly identifies FDA-regulated product recalls since 2009 using natural language queries.
Contributed to its end-to-end system design—integrating AI language models, data-driven insights, and scalable backend services to deliver expert-level counseling at a fraction of traditional costs.
Professional experience that I have accumulated over several years.
Remote
Led the development of an AI-driven education platform using Go, PostgreSQL, and gRPC. Delivered system architecture improvements for high performance and scalability, advancing product capabilities and user engagement.
2024 - presentDetroit, MI
Developed scalable applications on the Datalake platform using AWS and distributed systems. Improved system performance, optimized data processing workflows, and contributed to higher service reliability.
2024Atlanta, GA
Strengthened expertise in advanced algorithms, software engineering, and machine learning. Delivered projects with real-world applications, emphasizing scalable software and data-driven solutions.
2023