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Vetted Amazon API Gateway Professionals
Pre-screened and vetted.
Mathew Martin
Mid-level Software Engineer specializing in cloud data platforms and LLM applications
“LLM/agent builder with experience shipping production LLM features at an early-stage ed-tech mental wellness startup (conversation analysis + structured feedback via FastAPI, OpenAI API, Render, CI/CD). Also built a multi-step dining concierge agent using OpenSearch over Yelp data with fallback query relaxation, and has enterprise data engineering experience at Capgemini migrating databases to Snowflake with robust ETL normalization and data-quality handling.”
Keerthana Kondabathini
Mid-level Full-Stack Java Developer specializing in Healthcare IT and FinTech
“Backend engineer with hands-on experience in both financial services and healthcare, including a Capital One credit application platform and an AI-assisted medical-records-to-EMR pipeline. Stands out for owning systems end-to-end, improving response times by 30%, operating services at 50K+ daily requests, and applying strong validation/observability practices in regulated environments.”
Preeti Pandey
Senior AI/ML Engineer specializing in predictive analytics and NLP
“ML/AI engineer with hands-on experience building production healthcare AI systems across predictive modeling and GenAI. They built an end-to-end patient risk prediction platform and a RAG-based clinical summarization feature, combining strong NLP/LLM skills with AWS deployment, monitoring, drift detection, and reusable Python service design to deliver measurable clinical and operational impact.”
Ajay Jayswal
Senior DevOps Engineer specializing in AWS cloud infrastructure and CI/CD automation
“Banking infrastructure engineer who owns large-scale IBM Power/AIX (AIX 7.x, VIOS, HMC/vHMC) environments with hundreds of LPARs and deep PowerHA/SAN recovery experience. Also builds modern cloud delivery platforms—Azure DevOps/Jenkins CI/CD and Terraform for AWS/Azure (EKS/AKS, networking, security)—bridging legacy mission-critical systems and cloud-native automation.”
Raghuram Chandrala
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
“Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.”
Senior Cloud & DevOps Engineer specializing in AWS/Azure infrastructure automation
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and web apps
Mid-level Full-Stack Developer specializing in enterprise banking applications
Director-level Solutions Architect specializing in cloud modernization and enterprise AI
Junior AI Engineer specializing in GenAI, RAG, and agentic systems
Mid Software Developer specializing in cloud web applications and AI-powered platforms
Mid-level Software Engineer specializing in backend and distributed systems
Senior Java Full-Stack/Backend Developer specializing in AWS serverless and Kafka microservices
Junior Applied AI Engineer specializing in LLMs and Retrieval-Augmented Generation
Mid-Level Full-Stack Java Developer specializing in cloud microservices and compliance platforms
Senior Data Scientist and Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Software Developer specializing in microservices and cloud-native systems
Senior GenAI/ML Engineer specializing in cloud-native multi-agent RAG and MLOps
Mid-level Full-Stack Java Developer specializing in FinTech and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech systems
Senior IAM Developer specializing in SailPoint IdentityIQ/IdentityNow and enterprise SSO