Apple Inc.

Feb, 2020 - Present  •  6 yrs 7 mos  -  Contract

• Led the development of cloud-native microservices and APIs using Python (FastAPI, Django) and Golang, supporting high-volume distributed systems.
• Designed and implemented scalable REST APIs and backend services deployed on AWS and Google Cloud Platform for enterprise-grade applications.
• Built full-stack platforms using React, Node.js, and Python, improving application scalability and performance across multiple internal systems.
• Designed AI-driven recommendation systems and intelligent search platforms using LLMs, LangChain, and Retrieval Augmented Generation (RAG).
• Implemented Generative AI solutions using Google Gemini models through Vertex AI, enabling natural language processing, document understanding, and AI-powered workflows.
• Developed machine learning pipelines on GCP using Vertex AI, BigQuery, and Cloud Composer (Airflow) for model training, evaluation, and deployment.
• Built real-time data processing pipelines using PySpark and Snowflake, supporting large-scale analytics and data engineering workflows.
• Deployed containerized applications using Docker and Kubernetes, enabling scalable and resilient microservices architecture.
• Automated infrastructure provisioning using Terraform and CloudFormation, improving deployment consistency across environments.
• Developed interactive analytics dashboards using Plotly Dash, providing insights into operational metrics and application performance.