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Vetted Helm Professionals
Pre-screened and vetted.
Swagat Adhikary
Junior Software Engineer specializing in LLM agents and FinTech platforms
“AI/LLM engineer with Fidelity Investments experience who built and shipped a production GraphRAG system that augmented prompts with codebase context, improving business analyst efficiency by 15% and saving ~$3.5M annually. Strong in AWS EKS/Kubernetes/Helm and enterprise IAM/OIDC patterns (including cross-account S3 access), with experience mentoring interns and collaborating with non-technical leaders to extend AI pipelines (e.g., adding SQL functionality during MVP).”
Nicholas Moore
Senior Full-Stack Engineer specializing in scalable cloud-native systems
“Backend/data engineer with production experience building high-concurrency customer engagement platforms at KomBea on AWS (EKS + Lambda) using FastAPI/Django, PostgreSQL, Redis, and strong observability. Has modernized legacy batch systems into modular Python services with parallel-run parity validation and phased rollouts, and has delivered resilient AWS Glue ETL pipelines with schema evolution and data quality controls.”
THIEN Y TRAN
Mid-level Software Engineer specializing in Kubernetes platform engineering and FinTech
“Platform/infrastructure-focused engineer with hands-on experience automating AWS EKS upgrades in Python, building observability around logs/metrics/SLOs, and migrating Terraform delivery from CodePipeline to Atlantis. They describe shipping automation that handled 140 resources across 50+ Terraform files ahead of schedule and debugging a Karpenter/CoreDNS regression in Kubernetes by tracing it from regional traffic spikes to a missing local DNS cache configuration.”
Moh Abdullah
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-level MLOps/DevOps Engineer specializing in cloud automation and ML pipelines
Mid-level Cloud & DevOps Engineer specializing in cloud automation and Kubernetes security
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Senior Linux Systems Engineer specializing in telecom, private 5G ORAN, and cloud-native platforms
Executive engineering leader specializing in FinTech, cloud platforms, and data systems
Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Senior Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes
Senior Product & Software Leader specializing in cloud platforms, analytics, and enterprise SaaS
Senior Backend/Platform Engineer specializing in distributed systems
Mid-level AI/ML Engineer specializing in real-time fraud detection and healthcare computer vision
Mid-level Software Engineer specializing in cloud observability and telemetry ingestion
Senior Software Engineer specializing in cloud-native SaaS and platform engineering
Junior AI Engineer specializing in LLM systems and AI for drug discovery
Mid-level Software Engineer specializing in backend, cloud-native data platforms, and ETL
Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems