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Vetted A/B Testing Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Junior Data Analyst specializing in experimentation, data quality, and ML analytics
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Senior Unity/Gameplay Engineer specializing in XR/VR and player-facing systems
Salman Karim
Executive Founder & Finance Professional specializing in venture investing and consumer health startups
“Investor/sourcer from Morgan Stanley Expansion Capital focused on vertical SaaS, with a structured system for high-volume founder outreach (30–50/week) and thesis-driven messaging. Has originated cold outbound conversations (e.g., Elevate, Rockbot) and owned end-to-end diligence work including SaaS metric analysis, operating model building, and internal decision memos/partner updates.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”