Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Executive Technology Leader specializing in FinTech and large-scale data platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Senior Software Engineer specializing in Python and AWS cloud backend systems
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Staff Software Engineer specializing in FinTech and scalable distributed systems
Senior Full-Stack Software Engineer specializing in large-scale streaming platforms
Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD automation
Director-level Software Development Manager specializing in large-scale cloud platforms
Executive Technology Leader (CTO/COO) specializing in Telecom, IT Delivery, and eGovernment platforms
“Entrepreneurial operator who has started three revenue-generating startups for an employer and is now ready to found independently. Built and scaled a USSD-based lottery product in Nigeria by partnering with MTN, driving 10%+ uplift in gross turnover, and has hands-on experience validating market gaps via SMS/call-center surveys and launching pilots before scaling.”
Senior Backend Software Engineer specializing in healthcare platforms and AI/ML tooling
“Built a chatbot for a learning management system during a Deep Atlas bootcamp by mapping an end-to-end RAG architecture (document ingestion, Qdrant-based retrieval scoring, and LLM response synthesis). Previously at Rally Health/UnitedHealthcare, diagnosed load-related memory spikes with JMeter and improved stability by migrating caching from Guava to Redis, and also supported adoption through UI A/B testing in a technical marketing engineer rotation.”
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”