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Vetted AI & Machine Learning Professionals in the Bay Area
Pre-screened and vetted in the Bay Area.
Popular Titles
Senior Machine Learning Engineer specializing in NLP, LLMs, and scalable ML platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Director of AI/ML specializing in edge AI, computer vision, and foundation models
Mid-level Machine Learning Engineer specializing in reinforcement learning and multimodal AI
Junior AI Prompt Engineer specializing in LLMs, RAG, and conversational AI
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Param Yanamandra
Staff/Lead Software Architect specializing in Contact Center platforms and GenAI automation
“Built and deployed production LLM systems in healthcare and at LinkedIn: automated pen-and-paper clinical trial evaluations with a 40x efficiency gain and created an evidence-based Evaluation Agent focused on accuracy and speed. Also used Temporal to orchestrate resilient data-ingestion workflows for customer support staffing prediction, improving prediction outcomes by 40% while handling missing data, retries, and backfills.”
Chanakya rudru
Senior Machine Learning Engineer specializing in conversational AI and Generative AI
“ML/AI engineer with experience at Uber and Scale AI, focused on customer service automation across both classical NLP and generative AI systems. Has owned systems from experimentation through production on AWS, including LLM fine-tuning, RAG optimization, safety evaluation, and internal Python platform tooling that improved consistency and engineering velocity.”
Yue Yang
Intern Data Scientist specializing in GenAI (LLMs, RAG) and ML model optimization
“Built and deployed a production LLM-powered risk assistant for KPMG and Freddie Mac that lets analysts query a confidential Neo4j risk graph in natural language (no Cypher), turning multi-day analysis into minutes with traceable, cited answers. Implemented rigorous guardrails, deterministic verification, RBAC/security controls, and a full eval/observability stack, cutting query error rate by ~50% and iterating through weekly UAT with non-technical risk analysts.”
Kshitij Kakade
Intern-level AI/Full-Stack Engineer specializing in LLM systems and RAG
“Product intern at KNEX who stepped into engineering ownership when the team was reassigned and shipped a lease abstraction AI agent that cut data-entry time by roughly 85% in a live CEO demo. Also built a full-stack agentic RAG app with React/TypeScript, FastAPI, pgvector, hybrid retrieval, tool use, and citation-based transparency, showing unusually strong end-to-end AI product depth for an early-career candidate.”
Shardul Jeurkar
Intern Applied AI/Software Engineer specializing in computer vision and full-stack platforms
“Built production LLM systems focused on reliability and safety, including a plain-English deployment tool that generates validated plans and provisions to Kubernetes while preventing unsafe actions via schema enforcement and plan/execute separation. Also created multi-LLM workflows (LangGraph) and stakeholder-friendly demos at Bosch, including a PyQt/FastAPI/CUDA app comparing SAM2 vs SAMWISE for on-device object detection with intuitive UX for business users.”
Chappidi Sasi
Mid-level Machine Learning Engineer specializing in GPU-accelerated LLM training and inference
“ML/LLM engineer with production experience building a multi-GPU LLM inference platform using TensorRT and vLLM, achieving ~40% p95 latency reduction through batching/KV caching, quantization, and CUDA/runtime tuning. Also has end-to-end orchestration experience (Kubernetes, Airflow) and has delivered real-time fraud detection systems at Accenture in close collaboration with non-technical risk and product stakeholders.”
Intern Machine Learning/Robotics Engineer specializing in computer vision and 3D simulation
Intern Perception/Robotics Engineer specializing in computer vision and embodied AI
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Engineering Manager specializing in AI/ML and full-stack product delivery