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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Mid-level Backend/Full-Stack Software Developer specializing in Python, Java Spring, and microservices
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Software Engineer specializing in backend systems for Insurance and Healthcare
Mid-level Software Engineer specializing in Java/Spring Boot microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Junior Software Engineer specializing in distributed systems, cloud, and LLM-powered search
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Senior Full-Stack Product Engineer specializing in AI, Cloud, and regulated domains
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Principal Software Engineer & Product Leader specializing in distributed systems and agentic platforms
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Nobin Johnson
Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development
“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Benjamin Ross
Senior Backend/Cloud Developer specializing in AWS serverless and legacy modernization
“AWS-focused backend/data engineer with hands-on production experience building serverless APIs (Lambda/API Gateway) secured with Cognito/JWT, deploying via Terraform + CI/CD, and managing secrets with Secrets Manager/Parameter Store. Also built AWS Glue ETL from S3 to RDS with schema evolution and data-quality controls, modernized a monolith into microservices using parallel testing, and delivered major SQL performance gains (minutes to seconds) while owning incident response for batch pipelines.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”
Sneha Sridhar
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”