.png){kind=logo}
Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Kevin Allen
Senior AI/ML Engineer specializing in conversational and generative AI
“Built and productionized an LLM-based support assistant end-to-end, including RAG, APIs, monitoring, guardrails, and agent feedback loops. Stands out for translating GenAI prototypes into reliable production systems with structured evaluation, safety controls, and reusable Python infrastructure that improved both support quality and engineering velocity.”
Eric Majewicz
Staff Frontend Engineer specializing in enterprise SaaS, analytics, and AI-powered products
“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”
Ranjani Salla
Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT
“Built production GenAI systems in both healthcare and financial services, including a Verily clinical platform and an Accenture financial Q&A product. Stands out for combining advanced RAG, fine-tuning, safety evaluation, and infrastructure engineering to deliver measurable gains in engagement, groundedness, hallucination reduction, and cost efficiency.”
Jason Main
Executive product leader specializing in AI, SaaS, and Healthcare IT
“Product leader with experience spanning AWS enterprise software commercialization, healthcare workforce platforms, and AI-enabled peer mentoring products. Notable wins include launching a healthcare internal resource pool product that offset declining revenue by 3x+ and helping commercialize Amazon call center software into a product that generated just under $25M in first-year revenue. Strong throughline is customer-led product strategy, cross-functional execution, and human-centered AI that augments rather than replaces people.”
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Mid-Level Full-Stack Software Engineer specializing in web/mobile products and analytics
Senior Mechanical/Systems Engineer specializing in automation, additive manufacturing, and defense
Mid-Level Full-Stack Software Developer specializing in React, Node.js, and AWS
Intern Perception/Robotics Engineer specializing in computer vision and embodied AI
Intern Data Scientist specializing in LLMs, RAG, and data engineering
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Product Manager specializing in AI/ML, platform products, and contact center solutions
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Intern Data Scientist specializing in product analytics, causal inference, and NLP
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Principal Data Scientist specializing in Generative AI and MLOps
Junior AI/ML Engineer specializing in NLP, LLM evaluation, and Azure MLOps
Director-level Biotech Communications Leader specializing in executive, corporate, and AI-enabled storytelling