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Vetted Amazon EKS Professionals
Pre-screened and vetted.
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior AI/ML Engineer specializing in foundation models, LLMs, and agentic AI
Mid-level Full-Stack Engineer specializing in Python, distributed systems, and FinTech
Senior Software Engineer specializing in telehealth and e-commerce platforms
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”
Kevin Lee
Senior Backend Engineer specializing in Python and AWS serverless/data pipelines
“Serverless-focused backend/data engineer who has delivered production Python services on AWS (FastAPI on Lambda/API Gateway) plus Glue-based ETL pipelines from S3 to relational databases. Strong in operational reliability (timeouts, retries, monitoring/alerts) and modernization work, including parallel-run parity validation for migrating legacy batch logic to Python services. Demonstrated measurable SQL tuning impact (15 min to under 3 min).”
Fernando Cardenas
Executive technology leader specializing in AI products and enterprise platform modernization
“Four-time founder with hands-on experience inside angel- and venture-backed executive teams, plus accelerator mentorship experience. Brings a practical, customer-validation-driven approach to company building, with strong insight into early-stage team dynamics and investor ecosystems.”
Ronald Nap
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”