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Vetted Statistical Analysis Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Senior Computer Vision Engineer specializing in medical imaging and MLOps
Entry-Level Software Engineer specializing in data analytics and full-stack development
Mid-level Data Scientist specializing in healthcare and financial risk modeling
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Mid-level Data Scientist specializing in NLP, time-series forecasting, and GenAI
Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Mid-level Data Analyst specializing in BI dashboards, SQL optimization, and cloud data pipelines
Mid-level Data Analytics Engineer specializing in ETL pipelines and BI dashboards
Mid-level Supply Chain & Business Analyst specializing in SQL/Python analytics
Mid-level Data Analyst specializing in business intelligence and predictive analytics
Mid-level Software Systems Engineer specializing in AI, robotics, and connected platforms
Ian Hackman
Mid-Level Unreal Engine Engineer specializing in gameplay systems and UI tools
“Unreal Engine 5 gameplay/systems developer who led major core features for the Early Access Steam city builder Geopogo Cities: Windsor Detroit, including an end-to-end building placement system tightly integrated with economy, AI pedestrians (Mass AI/Zone Graph/State Trees), and procedural city block generation. Also built a third-person exploration layer with character customization, stamina, and animation retargeting on top of the City Sample Crowd framework, plus shipped player-driven UX improvements based on live Early Access feedback.”
Aashish Pokhrel
Mid-level DevOps Engineer and CS researcher specializing in cloud automation and ML/quantum tooling
“Research-focused software engineer who builds performance-critical Python/C++ systems emphasizing correctness, state-transition precision, and distributed coordination. Created an automated simulation-based testing/validation framework for quantum programs that caught subtle logic/type errors early, reduced debugging time, and improved developer confidence through strong observability and scalable test generation.”
GOWRI SHANKAR ANANTHULA
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”
Ishwar Girase
Mid-level AI/ML Engineer specializing in LLMs, GenAI, and NLP
“AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.”
Vardhan Are
Mid-level Data Analyst specializing in AWS-based ETL, churn analytics, and BI dashboards
“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”