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Vetted Recommender Systems Professionals
Pre-screened and vetted.
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
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.”
Sean Brennan
Senior Software Engineer specializing in backend platforms and cloud systems
“Engineer with a track record of taking on messy, high-ambiguity systems that others avoid, including a Python rewrite of Google Search Appliance's settings migrator that achieved 95% test coverage and zero bugs. Has also built internal full-stack planning tools at Capital One using React, Kotlin, and Airflow/DBT data pipelines, and brings specialized insurance analytics experience from catastrophe risk modeling for insurers.”
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).”
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior AI Full Stack Engineer specializing in generative AI and ML systems
Executive technology leader specializing in AI, data science, and product engineering
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Full-Stack Engineer specializing in distributed systems and real-time platforms
Senior Full-Stack Engineer specializing in streaming, personalization, and AI/ML platforms
Senior Software Engineer specializing in Applied AI, Identity, and Distributed Systems
Senior Software Engineer specializing in Unity, VR/XR, and AI-driven systems
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI