Pre-screened and vetted.
Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems
“Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.”
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and cloud microservices
“Frontend-focused JavaScript engineer who built Collabsync with real-time chat and file sharing using Socket.io, emphasizing reusable components, clear event contracts, and performance (minimizing React re-renders). Has experience at PwC building internal React/Angular dashboards and documenting insurance APIs, plus a contract role at Capital One delivering in fast-changing, loosely defined environments.”
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”
Executive Technology Leader specializing in B2C marketplaces, cloud platforms, and AI products
“20-year technology builder with ~8 years in healthcare AI, currently at Keycentrix modernizing a legacy pharmacy solutions business. Shipped an OCR MVP within days and delivered a rebate-based product generating ~$50K/month, leveraging Claude/LangGraph agentic automation to replace work typically requiring a much larger engineering team. Developing a "Longevity AI Copilot" B2B platform that synthesizes research, labs, and wearable data into personalized longevity protocols for HNW and corporate wellness markets; concept validated but not yet incorporated or funded.”
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Intern software engineer specializing in AI, cloud, and full-stack systems
Junior Software Engineer specializing in full-stack development and data engineering
Junior Software Engineer specializing in AI systems, retrieval, and knowledge graphs
Intern-level Software Engineer specializing in backend systems and applied AI
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Junior AI/ML Engineer specializing in LLMs, RAG, and multimodal agents
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
Mid-level Backend/Platform Engineer specializing in distributed systems and data platforms
Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Junior Software Engineer specializing in full-stack web and Android development
Senior Software Engineer specializing in backend microservices and AI/ML integrations