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Vetted Data Science Professionals
Pre-screened and vetted.
Dilpreet Singh
Executive CTO and Founder specializing in AI platforms and hyper-scale SaaS
“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”
Ananda Kanagaraj Sankar
Engineering Leader specializing in marketplace monetization, pricing, payments, and trust & safety
“Early-stage founder in the ideation phase who previously took a hackathon concept in digital accessibility from prototype to a scalable SaaS platform, validating with developers, government web teams, and accessibility experts; the product was selected for deployment by the Indian Government. Strong focus on MVP validation, leveraging AI/automation, and building with limited resources; requires visa sponsorship due to immigration status.”
Pranav Hariharane
Mid-Level Backend Engineer specializing in REST APIs and AWS
“Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.”
Steve Palley
Executive product leader specializing in marketplaces, consumer products, and health-tech
“Product leader with a rare mix of zero-to-one marketplace building, AI product development, and mission-driven consumer experience work. Led the creation of StoryLoom at Pixelberry/Nexon as a 'Roblox for writers,' is currently building a privacy-conscious AI concierge for a first responder coaching marketplace, and previously co-founded ApplyMap to deliver free AI-powered college guidance for underserved students.”
Entry Software Engineer specializing in AI infrastructure and ML inference systems
Executive Technology Leader specializing in AI, data science, and digital transformation
Junior Venture Capital Research Analyst specializing in AI and impact investing
Director-level Data Science leader specializing in AI/ML for biotechnology and drug discovery
Executive technology leader specializing in digital transformation, payments, and AI
Mid-level GTM & RevOps professional specializing in HealthTech and AI commercialization
Senior Software Engineer specializing in AI/LLM and distributed cloud systems
Executive AI transformation leader specializing in healthcare and enterprise modernization
Principal Data Engineer specializing in cloud-native AI and data platforms
Executive Engineering Leader specializing in Physical AI, Robotics, and HW/SW/AI integration
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Software Engineer specializing in data lineage and cloud data platforms
Executive Managing Director/CEO specializing in private equity, M&A, and AI analytics
Junior Software Engineer specializing in bioinformatics and healthcare applications
Executive technology leader specializing in AI, cloud, and venture-backed innovation
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Matthew Allyn
Executive engineering leader specializing in enterprise architecture, cloud, AI, and FinTech
“Engineering leader with experience modernizing e-commerce platforms and leading product strategy for data-driven franchise growth tools. Notable for scaling distributed teams, making pragmatic build-vs-buy and architecture decisions, and delivering measurable business impact including dramatically faster checkout performance and revenue gains.”