Designed and implemented AI automation systems, integrating large language models into Python services.

Developed backend APIs using FastAPI and async patterns to support LLM-powered features and automated workflows.

Built RAG pipelines using embeddings and vector search to enhance semantic search and retrieval tasks.

Engineered automated ETL pipelines and data scraping improvements using Python, Airflow, and AWS.

Streamlined data models and pipelines, processing 500M+ data points daily and achieving 90%+ uptime.

Transitioned legacy data warehouse to Snowflake and integrated multiple data sources for real-time calculators and analytics dashboards.

Transformed legacy data ingestion process by building new AI-powered chatbot.

Transitioned legacy monolithic system to microservices architecture with Docker, Kubernetes, and Node.js.

Bolstered system security by implementing security patches and automating vulnerability scans.

Led development of 50+ features on a dental AI platform using Next.js, Nest.js, GraphQL, Tailwind CSS, AWS, and PostgreSQL.

Improved infrastructure with Terraform on AWS, reducing manual configuration.

Standardised CI/CD workflows with orchestrated testing and deployment, accelerating release cycles.

Composed responsive web apps using React, Redux, and Redux-Saga.

Developed RESTful APIs with Laravel and Firebase.

Transformed monolithic architecture into scalable microservices.

Designed RESTful APIs handling 10,000 requests/minute.

Integrated PostgreSQL and MongoDB for high-volume transactions.

Implemented CI/CD pipelines, cutting downtime by 30%.

Designed responsive layouts with Tailwind CSS, improving user engagement.

Built a set of reusable UI components, streamlining front-end development.

Refined application architecture and front-end code.

Built backend systems with PHP/Laravel and accelerated PostgreSQL/MongoDB pipelines.

Deployed applications on AWS and Google Cloud with Kubernetes.

Refactored three monolithic legacy applications into independent microservices.