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Vetted AWS IAM Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Software Engineer specializing in web platforms and AI
Junior Software Engineer specializing in Generative AI and Cloud Microservices
Senior AWS DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Intern Security Engineer specializing in AppSec, Cloud Security, and Purple Team detection
Mid-Level Full-Stack Software Engineer specializing in GenAI and cloud-native systems
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level Systems/Cloud Engineer specializing in multi-cloud Linux infrastructure and pre-sales
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Senior Cloud & DevOps Engineer specializing in AWS migration, IaC, and CI/CD
Executive technology leader specializing in enterprise systems, cloud, and identity strategy
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
Mid-level DevOps/Cloud Engineer specializing in CI/CD, IaC, and Kubernetes on AWS/Azure
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Executive engineering leader specializing in SaaS platform architecture
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
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).”
Vaibhav Dabhi
Mid-Level Full-Stack Software Engineer specializing in Java microservices and cloud-native delivery
“Built and shipped a production LLM feature that explains DSA problems with real-life explanations, using Grok with automatic failover to OpenRouter (and multiple backup models) to avoid user-facing failures. Improved cost efficiency by implementing difficulty-based token budgets and iterated prompt quality via structured constraints and an in-app feedback mechanism, reporting satisfaction across 38 users.”
HarshelSrivatsava Srivatsava
Intern Full-Stack Engineer specializing in AI-powered SaaS products
“Solo builder of OGym, shipping production AI features for gyms that turn member behavior/health data (workouts, attendance, nutrition, payments, device metrics) into prioritized, actionable owner and member insights. Designed and implemented FastAPI backends, PostgreSQL-based RAG workflows, guardrails (RBAC/validation/rate limiting), and real-user evaluation loops, with a strong focus on latency/cost optimization and reliable data pipelines.”
Lokeshwar Reddy Gummireddy
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”