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Vetted Data Scientists in Virginia
Pre-screened and vetted in Virginia.
Navneet Sonak
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Sachin Suresh
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.”
Anil Niraula
Senior Data Scientist specializing in credit and fraud risk modeling
Deenanadh Polavarapu
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Ash Kanwal
Senior AI Engineer specializing in LLMs, RAG, and MLOps on AWS
VAISHNAVI CH
Mid-level AI/ML Engineer specializing in LLMs, RAG, and risk/fraud modeling
Vaishnavi Ch
Mid-level AI/ML Engineer specializing in LLMs, RAG, and risk analytics
Yan Jiang
Junior Data Scientist specializing in people analytics and predictive modeling
Bala Santhoshi
Mid-level Data Scientist / AI/ML Engineer specializing in NLP, CV, and MLOps in Financial Services
Divya Sree G
Mid-level Generative AI Engineer specializing in LLMs, RAG, and semantic search
Aakash Jadhav
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.”
Jayaprakash Vangala
Mid-level AI/ML Engineer & Data Scientist specializing in recommender systems and MLOps
Sasi Boyapati
Mid-level AI Engineer specializing in healthcare ML, NLP, 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.”
Venkata babu Alapati
Senior Data Scientist specializing in recommendation systems and forecasting
Sean Lancaster
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms