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Vetted Clustering Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Junior Software Engineer specializing in AI/ML and recommendation systems
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Executive Blockchain Analytics Founder/CEO specializing in institutional-grade data platforms
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Aurel Lazar
Principal Software Engineer specializing in Unity game development and developer tooling
“Unity/C# gameplay engineer from Rec Room who owned end-to-end systems spanning downloadable avatar content delivery (Addressables + auth/CDN), build automation/CI for asset bundles, and creator tooling (Avatar Studio). Also implemented AI-driven localization and generative mesh features, and has deep multiplayer experience with Photon and Photon Quantum across VR (Meta Quest) and mobile platforms, citing a 20% retention lift from faster content delivery and customization.”
Kalyani Chittipolu
Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”
“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”
Entry-level Data & Quant Analytics professional specializing in finance and machine learning
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Intern Software Engineer specializing in data engineering and LLM evaluation
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI