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Vetted Data Scientists in Virginia
Pre-screened and vetted in Virginia.
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Rishitha Reddy K
Mid-level Data Scientist specializing in risk, forecasting, and segmentation across finance and healthcare
“Data/ML engineer with experience across pharma (Dr. Reddy Laboratories) and financial services (Cincinnati Financial, Capital One), building production NLP and entity-resolution systems that connect messy unstructured text with enterprise SQL data. Delivered semantic search with BERT + vector DB and domain fine-tuning (reported ~35% relevance lift), and builds robust pipelines using Airflow/dbt/Spark with strong validation, monitoring, and stakeholder-aligned rollout practices.”
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Mid-level Data Scientist specializing in financial risk, fraud analytics, and healthcare NLP
Mid-level AI/ML Engineer specializing in LLMs, RAG, and risk/fraud modeling
Junior Data Scientist specializing in people analytics and predictive modeling
Mid-level Data Scientist / AI/ML Engineer specializing in NLP, CV, and MLOps in Financial Services
Mid-level Generative AI Engineer specializing in LLMs, RAG, and semantic search
Mid-level Machine Learning Engineer specializing in LLMs and production NLP
Daniel Berhane Araya
Senior AI/ML Engineer specializing in production-grade LLM systems for regulated finance
“AI/LLM engineer with published work who built FinVet, a production financial misinformation detection system using multi-pipeline RAG, confidence-based voting, and evidence-backed outputs (F1 0.85, +37% vs baseline). Also built NexusForest-MCP, a Dockerized Model Context Protocol server exposing structured global deforestation/carbon data via SQL tools for reliable LLM tool use. Previously delivered borrower risk-rating (PD) models at BMO Financial Group that were validated and integrated into an enterprise credit system through close collaboration with credit officers and portfolio managers.”
Mid-level AI/ML Engineer & Data Scientist specializing in recommender systems and MLOps
Yash Sanap
Junior Data Scientist specializing in ML, geospatial analytics, and LLM applications
“Built and deployed a production AI “term explainer” agent that adapts explanations to beginner/intermediate/expert users by combining multi-step LLM reasoning with grounded Wikipedia retrieval. Owns end-to-end agent orchestration (smolagents/Python), reliability patterns (fallback across LLM providers, retries, guardrails), and observability/metrics-driven evaluation; also partnered with a non-technical researcher to deliver a plain-language research assistant agent.”
Lahari Chamarthi
Mid-level Data Scientist specializing in NLP, recommender systems, and ML deployment
“At Provenbase, built and shipped a production LLM-powered semantic search and candidate matching platform (RAG with GPT-4/Gemini, multi-agent orchestration, Elasticsearch vector search) to scale sourcing across 10M+ candidate records and 1000+ data sources. Drove sub-second performance, cut LLM spend 30% with routing/caching, and improved recruiting outcomes (+45% sourcing accuracy; +38% visibility of underrepresented talent) through bias-aware ranking and tight collaboration with recruiting stakeholders.”
Senior Data Scientist specializing in recommendation systems and forecasting
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms