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Vetted Model Fine-tuning Professionals
Pre-screened and vetted.
Jani Miya Shaik
Mid-level Data Scientist / ML Engineer specializing in FinTech and Healthcare ML systems
“AI/LLM engineer who has shipped production RAG systems (including a 250K-document compliance knowledge tool on AWS) and focuses on reliability via citations, guardrails, and rigorous evaluation (Ragas/Opik/DeepEval). Also built a LangGraph-orchestrated webcrawler agent that cut research paper extraction from hours to minutes, and collaborated with clinical teams to deliver patient volume forecasting with an optimization layer for staffing.”
Shashwat Negi
Mid-level Software Engineer specializing in AI/ML and full-stack systems
“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”
Sagar Sidhwa
Senior AI/ML Engineer specializing in LLMs, MLOps, and predictive analytics
“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”
Daniel Dickson
Executive engineering leader specializing in SaaS, AI/LLM systems, and startup growth
“Experienced CTO with a track record of taking three companies to successful exits, including one merger with eBay. Has worked extensively across venture capital, startup studio, and accelerator environments, with core responsibility for leading software development and infrastructure in high-growth settings.”
Entry-level Machine Learning Engineer specializing in multimodal AI and LLM systems
Junior AI/ML Engineer specializing in LLMs, RAG, and full-stack ML applications
Senior AI/ML Engineer specializing in Generative AI agents and RAG systems
Junior NLP/ML Engineer specializing in LLM fine-tuning and long-context biomedical NLP
Junior AI/ML Engineer specializing in NLP, LLMs, and production ML systems
Mid-level AI Engineer specializing in ML platforms, recommender systems, and GenAI/RAG
Mid-Level Full-Stack & AI Engineer specializing in GenAI and cloud platforms
Junior Full-Stack Software Engineer specializing in cloud platforms and RAG/LLM evaluation
Junior Machine Learning Engineer specializing in LLMs and AI systems
Intern Full-Stack Engineer specializing in web apps, cloud, and AI agents
Senior AI/ML Engineer specializing in agentic systems and applied research
Principal AI/ML Engineer specializing in credit risk and healthcare predictive modeling
Mid-level Full-Stack Java Developer specializing in microservices, cloud, and React
Intern Software Engineer specializing in cloud backend, DevOps, and workflow automation
Entry-level Machine Learning Engineer specializing in NLP and LLM systems
Mid-Level Software Engineer specializing in cloud-native microservices and agentic AI