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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Senior Full-Stack Developer specializing in Python/Django and cloud-native web apps
Sangram Jagtap
Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Siva swathi javisetty
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
Bhargav Kommineni
Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems
“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”
Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”
Akarshika Tripathi
Mid-level Python Developer specializing in backend microservices and distributed systems
“Python backend developer from Larix Technologies who built and scaled microservice APIs for an omnichannel messaging SaaS (WhatsApp/Instagram/Facebook) and led production performance fixes during peak traffic, cutting webhook latency ~50%. Also shipped applied AI products end-to-end: a RAG-based PDF assistant (LangChain + Mixtral via Groq + React) and a BI agent that plans/executes/verifies multi-step analytics with strong guardrails and auditability.”
Mid-Level Software Engineer specializing in full-stack web and cloud systems
Mid-Level Full-Stack Software Engineer specializing in React Native and TypeScript
Junior Software Engineer specializing in Python automation and full-stack web development
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI