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Vetted Helm Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in cloud-native microservices and observability
Kowshika M
Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety
“AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”
Alfred Dwan
Intern Software Engineer specializing in AI, cloud-native systems, and MLOps
“Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.”
Anna Huang
Mid-level Software Engineer specializing in backend distributed systems and cloud platforms
“Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level Machine Learning Engineer specializing in LLMs and RAG systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Mid-level Site Reliability Engineer specializing in AI training infrastructure and GPU platforms
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps
Kaustubh Rai
Mid-level Software Engineer specializing in distributed systems and cloud-native microservices
“Software engineer with ~2 years at UnitedHealth Group plus CMU coursework/TA experience, spanning backend modernization and cloud-native operations. Worked on migrating a customized open-source EDI system from Python 2 to Python 3 while improving SQLite database traceability via JSON exports, and has hands-on Kubernetes microservices deployment on Azure using Helm, HPA, and Jenkins-based Git-triggered CI/CD. Also built a large-scale real-time ride-hailing simulation using Kafka + Samza with explicit fault-tolerance strategies.”
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”