Pre-screened and vetted in California.
Mid-level Product Manager and Front-End Engineer specializing in e-commerce and SaaS
Director & Editor specializing in commercials, documentaries, and narrative film
Mid-level Full-Stack AI Engineer specializing in LLM automation and scalable APIs
Senior Backend/Platform Engineer specializing in security, FinTech, and distributed systems
Mid-Level Software Engineer specializing in distributed systems and backend platforms
Mid-level AI/Robotics Software Engineer specializing in distributed real-time autonomy systems
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Senior Software Engineer specializing in React, Meteor, and test automation
Junior Software Engineer specializing in Python, APIs, and SQL performance tuning
Senior Full-Stack Python Engineer specializing in SaaS, cloud, and microservices
Mid-Level Full-Stack Software Engineer specializing in edtech and adaptive learning systems
Senior Full-Stack Developer specializing in Azure cloud-native microservices
Junior Software Engineer specializing in full-stack AI/ML forecasting and embedded systems
Principal Software Engineer & Product Leader specializing in distributed systems and agentic platforms
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
Intern Software Engineer specializing in backend systems, cloud, and AI agents
“Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.”
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”