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Vetted Helm Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-level Machine Learning Engineer specializing in fraud prevention and LLM systems
Junior Cloud & Full-Stack Engineer specializing in AWS and Kubernetes automation
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Senior DevOps & Cloud Engineer specializing in Kubernetes/OpenShift on AWS and Azure
Senior Software Engineer specializing in cloud-native distributed systems
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Senior DevOps Engineer specializing in cloud infrastructure, Kubernetes, and CI/CD automation
Staff-level Software Engineer specializing in Unity real-time and cloud multiplayer systems
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Mid AI/ML Engineer specializing in LLM systems and inference optimization
Sriram Rajaraman
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Rafeeq Mohammad
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare IT
“Backend engineer with experience at JPMorgan Chase and Walgreens, owning transaction-processing and prescription data flow systems in regulated environments. Brings strong hands-on depth in Spring Boot microservices, Kafka, Redis, Kubernetes, observability, and production incident resolution, plus practical experience integrating OpenAI-powered workflows with validation and fallback safeguards.”
Prateek C
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Meghana kanakam
Mid-Level Java Developer specializing in FinTech microservices
“Backend/platform engineer with deep payments experience who built and operated a real-time transaction routing service end-to-end on AWS (Spring Boot, PostgreSQL/RDS, Redis, Kubernetes), delivering ~40% latency reduction and 99.99% uptime via strong resiliency and observability practices. Also productionized an internal LLM-powered RAG knowledge assistant with guardrails and a user-feedback-driven evaluation loop, and has led incremental monolith-to-microservices modernization using Strangler Fig and shadow traffic.”