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Vetted Data Visualization Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Senior Management Consultant specializing in pharma, healthcare, and AI-driven transformation
Executive CTO specializing in Generative AI, GPU computing, and 3D graphics
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Staff Data Scientist specializing in machine learning, deep learning, and big data
Adam Yankelevits
Senior investment and operations professional specializing in early-stage FinTech and PropTech
“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”
Danny Anop
Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms
“Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.”
Summer Guo
Executive Venture Capital Investor specializing in AI, robotics, and energy infrastructure
“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”
Gabriel Aguiar
Entry-Level Software Engineer specializing in AWS cloud infrastructure and distributed systems
“Robotics software engineer with hands-on ROS 2 experience who helped build an autonomous 5-DOF robotic arm that plays Backgammon, owning perception (OpenCV) and game-logic while adding robustness features like lighting tolerance and auto-calibration. Also worked on a Raspberry Pi/LiDAR car project, improving mapping accuracy through data-logged calibration and contributing to multi-robot collision-avoidance coordination via a server-based pub/sub system.”
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.”
Senior Strategy & Operations Leader specializing in AI, analytics, and growth strategy
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Principal Site Reliability Engineer specializing in cloud, DevSecOps, and platform reliability
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Ridhi Singhal
Mid-level strategy and analytics professional specializing in growth and due diligence
“Growth and launch operator with Uber experience spanning marketplace expansion, rider/driver activation, and scalable onboarding systems in new-city launches, including Uber Shuttle in India. Stands out for combining data analysis, operational modeling, and cross-functional experimentation to unlock incremental revenue, improve NPS, and build repeatable playbooks that scaled across markets.”