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Vetted Data Scientists
Pre-screened and vetted.
Kainoa Eastlack
Senior Data Scientist specializing in NLP and explainable machine learning
“NLP/ML practitioner who built an explainable, clinician-aligned system to detect cognitive decline (Alzheimer’s/stroke-related) from audio responses, achieving 97% accuracy on only a few hundred data points. Also has experience with healthcare claims entity resolution and prototyped a word2vec-based patent search vector database in Elasticsearch, with strong emphasis on testing, interpretability, and scalable Python data workflows.”
Ugochukwu Obunadike
Principal Data Scientist specializing in Generative AI, NLP, and MLOps
“ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.”
Husayn El Sharif
Senior Data Scientist specializing in geospatial ML and environmental analytics
“Applied ML practitioner who deployed a near-real-time water-quality monitoring tool for Gwinnett County by fusing ESA satellite imagery with in-situ measurements to predict chlorophyll-A and support early warnings for harmful algal blooms. Also working on a multimodal deep-learning project combining skin lesion images with patient tabular/text data (TensorFlow, embeddings) to predict melanoma risk.”
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.”
Senior Full-Stack Software Engineer specializing in civic tech and AI/RAG systems
Junior AI/ML Engineer specializing in NLP, LLMs, and production ML systems
Mid-level Data Scientist specializing in LLMs, fraud detection, and healthcare analytics
Senior Machine Learning Engineer / Data Scientist specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, recommender systems, and cloud ML
Mid-level AI Engineer specializing in ML platforms, recommender systems, and GenAI/RAG
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
Senior Data & ML Engineer specializing in cloud data platforms and real-time analytics
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and MLOps
Senior Data Scientist / AI/ML Engineer specializing in NLP, LLMs, and RAG systems
Mid-level Data Scientist specializing in ML, RAG chatbots, and analytics
Principal AI/ML Engineer specializing in credit risk and healthcare predictive modeling
Senior Backend/Cloud Developer specializing in Python and AWS-native data workflows
Mid-level AI/ML Engineer & Data Scientist specializing in MLOps, LLMs, and anomaly detection
Mid-level Data Scientist specializing in ML, NLP/LLMs, and fraud & risk analytics