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Vetted Dashboard Development Professionals
Pre-screened and vetted.
Executive Product & Partnerships Leader specializing in Responsible Tech, Privacy, and Equity
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Staff Software Engineer specializing in AI platforms, RAG systems, and large-scale products
Senior Software Engineer specializing in AI systems and real-time distributed platforms
Mid-Level Software Engineer specializing in Search, Ads, and Shopping systems
Senior Software Engineer specializing in DevOps and CI/CD infrastructure reliability
Jon Cross
Executive Operations & Product Leader specializing in Ads, customer experience, and go-to-market
“COO of Greenopia (pre-seed, pre-revenue) who has built the company’s operational foundation over the past 18 months—supporting fundraising, SEC/crowdfunding setup, and coordinating app and self-serve business onboarding/assessment systems. Brings a metrics-driven operating approach (OKRs, balancing metrics/unit economics) and has advised other startups (e.g., sports betting) to refocus effort on the highest-value customer segments.”
Christopher Sipola
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Barbara Skrzypek
Senior Research Scientist specializing in physics, machine learning, and scientific computing
“Research-oriented ML engineer/scientist with deep experience applying generative models, adaptive optimization, and HPC infrastructure to complex physics analyses. Built reusable Python-based tools that replaced expensive Monte Carlo workflows, integrated across HTCondor/SLURM environments, and reduced analysis timelines by 2x while supporting broader team adoption and training.”
Muneendra M
Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems
“Full-stack engineer at Stripe who owned a webhook monitoring and retry platform end-to-end, spanning backend services, React dashboards, and production operations. Stands out for combining strong distributed-systems judgment with product polish, including a reported 31% improvement in webhook delivery reliability and UI improvements that reduced support burden.”
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Software Engineer specializing in Python AI/ML integration and experimentation pipelines
Senior Program Manager specializing in large-scale technical operations
Senior Full-Stack Software Engineer specializing in scalable cloud-native systems
Staff Software Engineer specializing in AI infrastructure and distributed systems
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Executive Product & Growth Leader specializing in identity verification, privacy, and GTM
Junior Investment Analyst specializing in private markets (PE/VC) and fund due diligence
Jeffrey Xuzhang
Junior Software Engineer specializing in full-stack and cloud systems
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”