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Vetted Logging Professionals
Pre-screened and vetted.
Daniel Ram
Staff/Director-level Simulation & Computational Geometry Leader specializing in GPU physics and GCP
“Entrepreneurial builder and former founding CTO of a Y Combinator startup that was acquired. Now in the planning stage for a new venture (considering edtech, media creation, and food/"intelligent servicing"), emphasizing early design partners, rapid testing, and iteration to validate ideas.”
fritzie alex
Executive engineering leader specializing in AI-native transformation and cloud modernization
“Senior software engineering leader who owned the architecture and delivery of a major VerizonWireless.com transformation, migrating an ATG monolith to Spring Boot/Java microservices with an event-driven architecture across 13 domains. Combines hands-on system design depth with business-facing architecture leadership and team scaling in complex enterprise environments.”
Matthew Zhan
Senior Full-Stack Engineer specializing in SaaS, distributed systems, and FinTech workflows
“Full-stack engineer with strong startup experience across small distributed teams, owning everything from React UIs to Go services and Python data pipelines. He stands out for designing stable APIs and data models in ambiguous compliance-heavy environments, with measurable impact including a 38% reduction in manual cleanup and a 27% drop in customer-visible incidents. He has also worked deeply in B2B SaaS at Ashby, supporting mission-critical recruiting workflows where data correctness, permissions, and integration stability were essential.”
Pavithra Kollu
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Backend/ML infrastructure engineer with experience at Perplexity and Meta building production evaluation, monitoring, and retrieval systems for AI search, autonomous agents, and LLM-powered workflows. Particularly strong in turning messy manual quality-review processes into reusable Python/FastAPI automation with measurable impact, including major gains in search relevance, latency, and grounded answer quality.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Software Engineer specializing in ML, search, and AI-powered backend systems
Mid-level Software Engineer specializing in full-stack systems and distributed platforms
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Mid-level Machine Learning Engineer specializing in search, retrieval, and generative AI
Senior Software Engineer specializing in cloud-native healthcare platforms
Director-level AI infrastructure engineering leader specializing in cloud operations automation
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Senior Full-Stack Engineer specializing in Unity/C# and AI-driven VR/mobile healthcare systems
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Senior Software Engineer specializing in AI backend platforms and FinTech systems
SOURABH MISHRA
Senior Software Engineer specializing in FinTech and distributed systems
“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”
Christopher Bun
Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI
“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”