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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Gabrielle Burns
Senior AI/ML Engineer specializing in computer vision, NLP, and enterprise ML systems
“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”
Krishna Sahith Poruri
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”
Michael Kaufman
Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms
“iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.”
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Mid-level Data/Software Engineer specializing in healthcare and FinTech analytics
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Senior Software Engineer specializing in AI/LLM and distributed cloud systems
Mid-level Full-Stack Python Engineer specializing in AI search and distributed systems
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Mid-level Software Engineer specializing in AWS backend systems and LLM infrastructure
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
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.”
Dimple Joseph
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Nagsen Dahat
Executive engineering leader specializing in FinTech platforms and cloud-native systems
“Motivated by the desire to work independently after spending significant time working for others. Demonstrated notable discipline and follow-through by completing a Master's program with great grades while managing a full-time job, family with two children, and a social life.”
Jeremiah Medina
Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps
“Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.”