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Vetted AI & Machine Learning Professionals in California
Pre-screened and vetted in California.
Popular Titles
Swapnil Gautam
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
Vidhyananth Sivashanmugam
Junior ML & Analytics Software Engineer specializing in predictive modeling and NLP
Kahuli Jamalpur
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
shrihitha kumbum
Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML
Ayush Kiledar
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Priyanthan Govindaraj
Junior AI/ML Engineer specializing in Generative AI production systems
Ravi Teja Vempati
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Melisa Sever
Mid-level Generative AI Engineer specializing in RAG systems and AI-powered education tools
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Pranjal Kamboj
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Anand Kamble
Junior AI Engineer specializing in LLM systems and RAG
Russell Elliott
Junior Full-Stack Developer specializing in AI integrations and LLM research
Iaroslav Kuznetsov
Mid-level Machine Learning Engineer specializing in AdTech and scalable data systems
“Built and scaled an internal AI code-search/assistant agent that expanded from engineering-only to broader internal users, tackling legacy code and inconsistent standards to make a RAG pipeline production-ready. Uses a metrics-driven approach (user feedback + automated Python evaluation for retrieval relevance and latency) and has handled high-pressure outages, including moving parts of the stack off AWS and adopting Milvus on internal infrastructure for resilience.”
Aryan Sharma
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
FNU Mannat
Junior SaaS Implementation & Support Specialist with Generative AI and API integration experience
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”