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Vetted Version Control Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior AI/ML Engineer specializing in GenAI, agentic systems, and healthcare AI
Yuan-Hsuan Wen
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.”
Daylen Osmer
Mid-level Chief of Staff and operations professional specializing in financial services
“Former military professional who transitioned into finance and operations, then took on leadership responsibilities in a Series B AI tax SaaS company and later PMO/regulatory initiatives at Wafra. Brings a blend of finance, compliance, audit readiness, and cross-functional program execution, with experience managing distributed teams and modernizing paper-based processes into controlled digital workflows.”
Joseph Fusco
Senior Software Engineer specializing in AI-powered developer tooling and backend platforms
“Backend/product engineer from Postman Flows who has owned complex platform features end-to-end, including production versioning and an LLM-powered flow-building orchestration layer. Stands out for combining product-minded backend design, agentic AI workflow implementation, and strong production reliability work, including re-architecting a failing event pipeline from in-memory to managed queues.”
MARCUS JOHNSON
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems
Mid-Level Full-Stack Software Engineer specializing in test automation platforms
Senior Software Engineer specializing in scalable backend systems and full-stack web apps
Senior Software Engineer specializing in AI workflow orchestration and distributed systems
Senior DevSecOps Engineer specializing in multi-cloud CI/CD and federal compliance
Senior Full-Stack Engineer specializing in telehealth and commerce platforms
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Junior Software Development Engineer specializing in IoT, robotics, and machine learning
Ritesh Somashekar
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
“AI/ML engineer with experience spanning Accenture healthcare NLP systems, academic research, and Apple on-device LLM integration. Stands out for owning regulated production pipelines end-to-end—from HIPAA-compliant clinical NLP and EHR integrations to incident prevention, experiment tracking, and optimized on-device inference with LLaMA 3.”
Johnny Davis
Senior Enterprise Customer Success Manager specializing in SaaS adoption and digital transformation
“Enterprise Customer Success leader (10+ years) with experience at Zscaler and supporting Fortune 500 customers, driving high adoption and renewals through metric-driven governance and executive stakeholder management. Known for cross-functional incident leadership (including coordinating with Apple and Product to ship a patch) and for enabling significant expansions (e.g., $600k+ add-on before renewal and a $750k DLP deal) while building Salesforce Marketing Cloud/CRM analytics and enablement tooling.”
Chinmay Wadgaonkar
Mid-level Software Engineer specializing in Windows graphics performance and cloud automation
“Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.”
Shawn Williams
Mid-Level Backend Engineer specializing in AWS serverless and data processing
“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”
“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”