Syed Afseh Ehsani

Engineered Python/FastAPI backend services and REST APIs supporting core application workflows and AI-enabled functionality. Developed LLM-powered features and integrated external AI services into application workflows with a focus on reliable backend integration. Designed SQL/PostgreSQL data models and implemented CRUD workflows, integrating APIs with Flutter applications and third-party services. Diagnosed and optimized components for performance, reliability, scalability, and maintainability.

Built and deployed cross-platform LLM-powered mobile applications using Flutter, integrating RESTful APIs and AWS S3-based cloud services while automating workflow processes to improve operational efficiency by 15%. Managed application data and performance across deployed services using Redis-backed caching. Implemented Git-based version control and CI-driven performance optimizations that reduced load times by 20%. Collaborated with testing and development teams to debug and troubleshoot issues across the SDLC, supporting stable and maintainable releases.

Developed and integrated production-ready mobile application features using Flutter, Python-backed REST APIs, and AI-assisted workflows to deliver reliable and scalable software. Built ML models for a financial literacy application using question-answer and FAQ datasets. Integrated REST architecture including Bhashini ASR and optimized backend integration, data handling, and API performance to improve application performance by 30%. Performed testing, debugging, and troubleshooting in an Agile SDLC using Git, Jira, and Confluence.