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Vetted Object-Oriented Programming (OOP) Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in Healthcare IT and FinTech platforms
Senior Full-Stack Engineer specializing in Python, cloud platforms, and identity/security systems
Mid-level Security Engineer specializing in security logging and data pipelines
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Mid-Level Software Engineer specializing in full-stack and cloud microservices
Intern Software Engineer specializing in GenAI and backend systems
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Mid-Level Back-End Software Engineer specializing in regulatory reporting (EMIR)
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Intern Software Engineer specializing in cloud-native distributed backend systems
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs
Joseph D’Alessandro
Senior Game & XR Developer specializing in Unity, Unreal Engine, and immersive learning
“UE5/VR-focused developer who has shipped real UE5 deliverables (Fab.com products and VR template projects used by graduate students) and built a modular VR training interaction system end-to-end using Blueprint Interfaces and Actor Components. Also shipped a game-ready UE5 character product (“Ryan the incredible”) with 180 animations and a scalable AnimBP, and has hands-on profiling/optimization experience reducing tick-heavy Blueprint logic.”
Ajith P
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”
Max Matkovski
Junior Machine Learning Engineer specializing in data pipelines and applied AI
“Built a production AI agent for phishing fraud detection using n8n orchestration, Claude (Sonnet 4/MCP), VirusTotal, and JavaScript formatting to generate and deliver email-based reports via Gmail. Has experience evaluating detection accuracy against known examples, iterating via feedback, and presenting AI solutions to non-technical teams.”
Alp Komban
Junior Machine Learning Engineer specializing in computer vision for medical imaging
“Applied ML/LLM practitioner working in healthcare-facing products, using RAG and LoRA fine-tuning on medical data and implementing production monitoring (confidence scoring) for clinician oversight. Has hands-on experience debugging agentic/LLM pipelines (including OCR preprocessing fixes) and regularly delivers technical demos to doctors, investors, and conferences—contributing to adoption and even helping close a funding round through end-to-end pipeline walkthroughs.”