Pre-screened and vetted.
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.”
Junior AI Engineer specializing in healthcare analytics and compliance AI
“Built and shipped a production LLM-driven multi-agent platform (ciATHENA) at CustomerInsights.AI to automate analytics/ML/compliance workflows in healthcare and life sciences. Implemented LangGraph/LangChain orchestration with strong backend-style rigor (schemas, Pydantic validation, retries, auditability) and optimized latency/cost while keeping the system usable for non-technical users via guided natural-language interactions and structured/visual outputs.”
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
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Senior AI/ML Engineer specializing in LLMs, MLOps, and healthcare analytics
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Senior Data Scientist specializing in computer vision and medical imaging
“Built and deployed an LLM-powered RAG system (PubChemRAG) for a 4D Mitospace project to compare mechanisms across a ~100-drug glossary and surface expected pathway/phenotypic differences in mitochondrial imaging. Worked closely with biochemistry and microscopy experts to design tiered evaluation benchmarks, iterating on prompts, retrieval quality (corpus hygiene, chunking strategy), and model outputs under GPU constraints using LangChain.”
Mid-level AI/ML Engineer specializing in speech, computer vision, and agentic GenAI
“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”
Junior Robotics Engineer specializing in ROS2 autonomous systems and perception
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Senior NLP Research Scientist specializing in summarization, argument mining, and LLM evaluation
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-level Data Scientist specializing in GenAI, NLP, and agentic RAG systems
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Senior Data Engineer specializing in healthcare ETL/ELT and ML