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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Staff Data Scientist specializing in machine learning, deep learning, and big data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Kevin Wang
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”
Pradeep Nadella
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Software Engineer specializing in high-scale backend systems on Google Cloud
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in distributed systems, data platforms, and AI
Principal Software Engineer specializing in distributed systems and cloud platforms
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP
Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Huiren Li
Senior Backend/Full-Stack Engineer specializing in scalable microservices on AWS
“Backend/data engineer with production experience at Uber building a near real-time driver rewards service on AWS (FastAPI, PostgreSQL, Redis) with strong reliability and concurrency controls. Also delivered AWS Lambda/ECS containerized deployments with GitHub Actions CI/CD and cost governance, built AWS Glue ETL with schema-evolution handling, and drove a ~10x SQL performance improvement while owning incident response via CloudWatch.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems