.png){kind=logo}
Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in NLP, LLMs, and scalable ML platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Staff AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Senior Cloud Solutions Engineer specializing in AWS Analytics and GenAI
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Sara Fang
Mid-level Software Engineer specializing in cloud data platforms and distributed systems
“Backend/data engineer with production experience building FastAPI services with strong reliability patterns (circuit breaker, rate limiting, caching, graceful degradation) and JWT/OAuth2 auth. Has delivered AWS EKS deployments via Terraform with Secrets Manager/IRSA and HPA autoscaling, and built Glue/Spark ETL pipelines on S3 Parquet with schema-evolution and idempotent reruns; also demonstrated measurable SQL tuning impact (20–30s to <10s).”
Vishal Mittal
Director-level Engineering Manager specializing in cloud security platforms and AI-driven automation
“Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.”
Akshit Gaur
Mid-level AI Engineer specializing in agentic LLM systems
“Built and productionized a dual-agent LLM invoice-processing system for GFI Partners, adding guardrails and audit trails to earn stakeholder trust and drive adoption while cutting operational burden by 75%. Uses LangSmith observability to diagnose real-time workflow regressions and has experience teaching agentic AI concepts (e.g., at Carnegie Mellon) through hands-on, scaffolded demos.”
Mid-Level Backend Engineer specializing in SaaS automation and data platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps