Ved Patel is an experienced Senior AI Engineer and Full Stack Developer with a track record of designing, building, and deploying scalable Python web applications and enterprise AI solutions. He specializes in leveraging OpenAI GPT, Anthropic Claude, Google Gemini, AWS Bedrock, and LangChain to create AI-powered workflows, retrieval-augmented generation, and intelligent agents. He has a strong background in cloud-native architectures on AWS and Azure, leading cross-functional teams and delivering secure, production-ready software. He values collaboration with stakeholders, architects, product managers, and QA to translate business needs into robust technical solutions, and he is adept at documenting architecture, deployment procedures, and runbooks to support ongoing operations.

VED Patel

Ved Patel is an experienced Senior AI Engineer and Full Stack Developer with a track record of designing, building, and deploying scalable Python web applications and enterprise AI solutions. He specializes in leveraging OpenAI GPT, Anthropic Claude, Google Gemini, AWS Bedrock, and LangChain to create AI-powered workflows, retrieval-augmented generation, and intelligent agents. He has a strong background in cloud-native architectures on AWS and Azure, leading cross-functional teams and delivering secure, production-ready software. He values collaboration with stakeholders, architects, product managers, and QA to translate business needs into robust technical solutions, and he is adept at documenting architecture, deployment procedures, and runbooks to support ongoing operations.

Available to hire

Ved Patel is an experienced Senior AI Engineer and Full Stack Developer with a track record of designing, building, and deploying scalable Python web applications and enterprise AI solutions. He specializes in leveraging OpenAI GPT, Anthropic Claude, Google Gemini, AWS Bedrock, and LangChain to create AI-powered workflows, retrieval-augmented generation, and intelligent agents. He has a strong background in cloud-native architectures on AWS and Azure, leading cross-functional teams and delivering secure, production-ready software.

He values collaboration with stakeholders, architects, product managers, and QA to translate business needs into robust technical solutions, and he is adept at documenting architecture, deployment procedures, and runbooks to support ongoing operations.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior Full Stack Developer at ADP
November 1, 2024 - Present
Led end-to-end development on a Payroll and Workforce Management Platform, building backend APIs in Python (Django, FastAPI) and delivering responsive React.js frontend components that provided HR and payroll teams real-time visibility into employee data, salary breakdowns, and compliance status. Directed a team of 5 software engineers across backend, frontend, and AI initiatives, driving sprint planning, code reviews, technical mentoring, and on-time feature delivery. Provided technical leadership for AI feature development, architecture discussions, estimation, and cross-functional planning across distributed teams. Collaborated with product managers, architects, UX designers, QA, and business stakeholders to define AI roadmaps and deliver customer-focused solutions. Authored API specifications, architecture diagrams, runbooks, and operational documentation to support production deployments and maintenance. Implemented payroll processing modules using PostgreSQL and Redis, enforcing
AI Developer at American Express
March 1, 2022 - October 1, 2024
Contributed to a high-volume payment processing platform, building full-stack features across Python backend services (Django, FastAPI) and React/TypeScript frontend applications for card transaction management, settlements, and account operations. Designed relational data models in PostgreSQL and leveraged MongoDB and DynamoDB for semi-structured data. Built distributed ETL and data processing workflows with PySpark, Pandas, Airflow, and Databricks, transforming transaction and customer data into Snowflake and Redshift for analytics. Implemented event-driven microservices with Apache Kafka and AWS Kinesis to process millions of payment events with high throughput. Enhanced resilience with idempotent APIs, retry mechanisms, and robust error handling. Integrated with HashiCorp Vault for secure credential management, containerized services with Docker, and deployments on Kubernetes (EKS) and OpenShift. Established monitoring with ELK Stack, Prometheus, Grafana, and CloudWatch to reduce i
Python & Frontend Developer at CBRE
October 1, 2020 - February 1, 2022
Built full-stack features for a real estate management platform using Python (Django, FastAPI) on the backend and JavaScript/HTML5/CSS3 on the frontend. Implemented RESTful APIs for property records, lease tracking, and tenant data, integrating them with internal dashboards for day-to-day operations. Structured property and financial data in PostgreSQL and used MongoDB for semi-structured lease logs; introduced Redis caching to improve API response times. Supported deployments across AWS and Azure, including App Service, Blob Storage, and Key Vault, while maintaining logs and monitoring with ELK Stack and CloudWatch. Collaborated with product owners and UX designers to translate business needs into reusable UI components and data-driven interfaces. Participated in Agile processes, design reviews, and documentation of architecture and deployment runbooks.
Python Developer at EMedStore
January 1, 2019 - September 1, 2020
Built RESTful APIs using Python and Flask for a pharmacy e-commerce platform, handling product management, order workflows, and customer operations. Integrated frontend improvements with HTML5, CSS3, and JavaScript. Worked with MySQL, PostgreSQL, and MongoDB for structured and semi-structured data. Implemented background task processing and caching with Redis and Celery for order notifications and async updates. Supported deployments on AWS EC2 and S3, leveraging Git and GitHub for version control within an Agile team.

Education

Bachelor of Engineering at Gujarat Technological University
January 11, 2030 - July 2, 2026

Qualifications

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Industry Experience

Software & Internet, Financial Services, Real Estate & Construction, Professional Services