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Vetted Data Scientists
Pre-screened and vetted.
Intern Data Scientist specializing in model compression and agentic RAG systems
Mid-level AI/ML Engineer specializing in credit risk modeling and fraud detection
Mid-level AI/ML Engineer & Data Scientist specializing in NLP and production ML
Senior Data Engineer/Data Scientist specializing in ML platforms, cloud data, and blockchain analytics
Mid-level Data Scientist specializing in machine learning, computer vision, and generative AI
Mid-level Applied AI/ML Engineer specializing in scalable generative model infrastructure
Mid-level Machine Learning Engineer specializing in MLOps, GenAI RAG, and computer vision
Mid-level AI/ML Engineer specializing in Generative AI agents and workflow automation
Mid-level Data Scientist specializing in machine learning and analytics
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Mahesh Ponnam
Mid-level Data Scientist specializing in credit risk, fraud detection, and ESG analytics
“AI/LLM practitioner who has deployed production chatbots across e-commerce, HRMS, and real estate, focusing on retrieval-first workflows for factual tasks like product and property search. Optimized intent understanding and significantly improved latency by using lightweight embeddings and tuning the inference pipeline on Groq (Llama 3.3), while applying modular orchestration and measurable production evaluation.”
Atharva Joshi
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics