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Vetted MLflow Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Christopher Sipola
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”
Somya Upadhyay
Senior Software Engineer specializing in cloud infrastructure and large-scale data pipelines
“Backend engineer on Amazon’s Geospatial Data team (Amazon Maps) who built a real-time road-layer service ingesting third-party and internal signals to deliver road closures/traffic overlays to delivery drivers on a ~3-minute cadence while minimizing mobile data egress. Demonstrates strong production reliability skills (rate limiting, idempotency, cache stampede prevention) and security depth (IAM, RBAC, tenant row-level security), plus careful handling of edge cases like manual override protection against automated feed overwrites.”
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
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.”
Muhammad Shoaib
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems