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Vetted Data Science Professionals
Pre-screened and vetted.
Junior finance and analytics professional specializing in financial services and sports business
Executive CTO specializing in AI, enterprise architecture, and digital transformation
Junior Software Engineer specializing in full-stack web and AI systems
Intern Machine Learning Engineer specializing in LLMs, generative AI, and reinforcement learning
Executive Technology Leader & Startup Founder specializing in SaaS, AI and EdTech
Executive Technology Leader specializing in AI platforms and regulated-industry SaaS
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and applied AI
Senior Full-Stack Engineer specializing in cloud-native web apps and distributed systems
Director-level cloud security leader specializing in compliance, audit, and risk management
Director-level Applied AI and Data Science leader specializing in HVAC and connected systems
Executive data and AI leader specializing in predictive intelligence and enterprise platforms
Intern software engineer specializing in full-stack development and test automation
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Mid-level Data Analyst specializing in ML, AI, and data visualization
Senior AI/ML & Data Science professional specializing in NLP, LLMs, and MLOps
Mid-level Data Engineer specializing in cloud data platforms for Healthcare and Financial Services
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”
Erik Moyer
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”
Bhagyashree Patil
Intern Applied AI Engineer specializing in LLM systems and data engineering
“Full-stack engineer with hands-on production experience across both traditional SaaS and LLM-powered support tooling. They owned a real-time ecommerce order tracking dashboard that improved support response times by 40%, and helped ship an AI support assistant using the OpenAI GPT API that cut ticket handling time by 30% through strong prompt design, retrieval grounding, validation, and human-in-the-loop safeguards.”
Richard Rivera
Executive business and technology leader specializing in SaaS, media, and digital transformation
“Candidate participated in Launch Factory's venture studio selection process, which introduced them to a formalized startup methodology, and then went on to found and recently exit their own business. They are highly motivated to keep building companies, with a clear emphasis on creating products that serve a community and validating market need through product-market fit.”
James Furr
Senior Information Security leader specializing in cloud infrastructure and compliance
SASI PAILA
Mid-level AI/ML Engineer specializing in Generative AI and production ML systems
“Built and deployed a production SecureAIChatBot (RAG-based) for secure internal information retrieval, using embeddings/vector search, GPT models, monitoring, and safety filters. Focused on real-world production challenges like latency and output consistency, applying caching, retrieval scoping, smaller models, and controlled prompting, and used LangChain to orchestrate the end-to-end workflow.”
Archit Gangal
Senior Full-Stack Developer specializing in cloud-native microservices and AI/ML analytics
“Full-stack/backend engineer with deep insurance claims domain experience who built and operated a microservices + ETL platform (Java/Spring Boot + Python + Kafka/Databricks) processing 1M+ daily transactions. Combines production-grade reliability (99.7% uptime, zero-downtime blue/green releases, strong observability) with customer-facing UI delivery (AngularJS/React+TS dashboards and a hackathon-winning research chatbot).”