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Vetted Data Scientists
Pre-screened and vetted.
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Senior Data Scientist specializing in GenAI and LLM systems for financial services
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Senior Machine Learning Engineer specializing in AI platforms and backend systems
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Mid-level Data Scientist specializing in FinTech and product analytics
Tzu-Chieh Huang
Mid-level Software Engineer specializing in backend systems, IoT, and AI security
“Full-stack engineer in the investment tracking/financial reporting space who built an automated reporting dashboard and compliance/reporting pipeline end-to-end using Next.js (App Router, server/client components), REST, and Postgres. Demonstrated measurable performance wins (~30% faster loads) through caching and query optimization, and built durable orchestrated workflows in n8n with retries, idempotency, and reconciliation checks.”
Jacqueline Zhang
Mid-level Machine Learning Engineer specializing in LLMs, fairness, and healthcare ML
“ML/NLP practitioner with a master’s thesis focused on domain-adaptive knowledge distillation for LLMs (LLaMA2/sheared LLaMA), showing improved perplexity and ROUGE-L on biomedical data. Also built real-world data linking and search systems: integrated ClinicalTrials.gov with FAERS using fuzzy matching + embeddings, and delivered an LLM-powered FAQ recommender at Hyperledger using sentence-transformers, FAISS, and fine-tuning to mitigate embedding drift.”
Sagnik Mazumder
Executive ML/AI Founder specializing in agentic analytics and data infrastructure
“Founder of Photosphere Labs (agentic AI for ecommerce data synthesis/analysis) who worked directly with customers to scope, build, demo, and iterate LLM-based solutions, including an AI chat product for brand owners. Previously at Block, built and explained a nuanced causal inference/propensity model tied to Square POS integrations, translating model specs and outputs into business impact for varied client contexts.”
Xingyu Chen
Junior Machine Learning Engineer specializing in generative AI and computer vision
“Built production AI features for image editing and object removal, including an agent that guides users to the right pipeline, validates inputs, refines prompts, and routes requests to GPU-backed generation services. Brings hands-on experience across multimodal control, generative model optimization, and post-launch iteration driven by failure analysis and user feedback.”
Staff-level Software Engineer specializing in AI, data platforms, and cloud infrastructure
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and GPU-accelerated deep learning
Mid-level Data Scientist / ML Engineer specializing in NLP, recommender systems, and insurance analytics
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Data Scientist specializing in ML, NLP, and fraud/anomaly detection
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning