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Vetted AI & Machine Learning Professionals in the Los Angeles Metro
Pre-screened and vetted in the Los Angeles Metro.
Popular Titles
Valeriy Filin
Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision
“Backend/infrastructure engineer with experience across API development (FastAPI/MySQL/SQLAlchemy), Kubernetes deployments, and large-scale data processing—built a Dockerized Python pipeline to pre-aggregate ~1B Graylog events for efficient querying. Has enterprise infrastructure automation background at Hewlett Packard Enterprise (Datafabric) using Terraform/Ansible with fail-fast and rollback practices, plus Kafka-based sensor streaming prototypes to Google Cloud with Java workers and autoscaling.”
Anay Dongre
Junior Machine Learning Engineer specializing in GenAI and LLM fine-tuning
“Robotics software engineer focused on hard real-time autonomy for legged robots, building a quadruped navigation stack that combines vision SLAM with MPC and maintains a deterministic 500Hz control loop. Deep performance optimization experience across CUDA (sub-2ms perception latency), ROS 2/DDS real-time tuning, and motion planning (cut 500ms spikes to sub-5ms). Also designed distributed ROS 2 + Zenoh communications between quadrupeds and aerial drones and validated robustness under lossy wireless conditions.”
Mid-level Machine Learning Engineer specializing in MLOps, LLMs, and RAG systems
Mid-level GenAI Engineer specializing in LLM agents and production AI workflows
Mid-level QA and AI NLU Evaluator specializing in software testing and model evaluation
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Mario Orozco
Senior Music Producer & Audio Engineer specializing in mixing, mastering, and sync-ready metadata
“Logic Pro-based music editor/mixer for short films and YouTube content who specializes in stem-driven edits to hit narrative beats (e.g., blending tension drums into a melancholy cue for a cemetery/chase sequence). Known for client-first flexibility, consistent mixes via templates/low-volume monitoring, and reliable turnaround with strong version control—work that has led to repeat collaborations with directors.”
Michael Jenkins
Director-level Video Editor & Producer specializing in longform YouTube storytelling
“Video editor/producer with a storytelling-first approach to longform YouTube, spanning both documentary-style musician content (travel/writing songs) and punchy corporate marketing for startups. Has led and mentored remote overseas freelance editors as a marketing content manager at BCG Attorney Search using rubrics/style guides, and has on-set experience as camera operator/DP for The Shade Room and Viacom YouTube content.”
Charles Shaw
Executive technology leader specializing in AI, cloud transformation, and data platforms
“Candidate is targeting a CTO Venture Studio role and positions themself as a technical partner to founders rather than a founder personally. They demonstrate strong fluency in early-stage startup evaluation, especially around validating whether a product truly tests the business hypothesis and whether the underlying technology can scale significantly.”
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
Junior AI Tester specializing in test case design and requirements-based evaluation
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior AI/ML Engineer specializing in NLP, computer vision, and MLOps
Yash Mahajan
Junior Software Engineer specializing in AI, full-stack development, and applied ML
“AI/full-stack product builder who has shipped production agentic systems in both customer support analytics and medical claims automation. They combine React/Next.js frontends with Python-based async backends and LLM orchestration, delivering measurable outcomes like 60% cost savings, 40% less manual review, and reducing claims processing from 30 minutes to 20 seconds.”
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.”
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
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.”