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Vetted Data Scientists in New Jersey
Pre-screened and vetted in New Jersey.
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”
Mid-level Data Scientist / ML Engineer specializing in NLP, recommender systems, and insurance analytics
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Principal Machine Learning Architect specializing in AI platforms and data science
Mid-level Data Scientist specializing in financial risk, fraud detection, and GenAI NLP
Jaswanth Vakkala
Mid-level Generative AI Engineer specializing in enterprise RAG and multimodal NLP
“Built and deployed a production LLM/RAG chatbot at Wells Fargo for securely querying regulated financial and compliance documents, emphasizing low hallucination rates, explainability, and strict governance. Experienced with LangChain multi-agent orchestration plus Airflow/Prefect pipelines for ingestion, embeddings, evaluation, and retraining, and partnered closely with compliance/operations to drive adoption through demos and feedback-driven retrieval rules.”
Jash Shah
Mid-level Data Scientist specializing in LLMs, MLOps, and predictive analytics in healthcare and finance
“Built and deployed a production LLM/RAG clinical decision support system that enables real-time semantic search over unstructured EHR notes and delivers patient risk insights. Strong in healthcare-grade MLOps and compliance (HIPAA, PHI handling, encryption, RBAC, audit logs) and scaled embedding/retrieval pipelines using Spark/Databricks and Airflow. Partnered with clinicians via Power BI dashboards and explainability, contributing to an 18% reduction in patient readmissions.”
Mid-level AI/ML Engineer specializing in clinical AI and RAG systems
Mid-level Machine Learning Engineer specializing in LLM applications and MLOps
Junior Data Scientist specializing in analytics automation and BI dashboards
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Sai Nekkanti
Mid-level Data Scientist / ML Engineer specializing in secure GenAI and financial compliance
“Built a production "sentinel insight engine" to tame information overload from millions of product reviews and support transcripts, combining Azure OpenAI (GPT-3.5) zero-shot classification with a fine-tuned T5 summarizer to generate weekly actionable product insights. Demonstrated strong MLOps/production engineering by adding drift monitoring with embedding-based detection, integrating REST with legacy SOAP/queue-based CRM via FastAPI middleware, and scaling reliably on Kubernetes with HPA.”
Senior Data Scientist specializing in NLP, Computer Vision, and Generative AI
Senior AI/ML Engineer specializing in Generative AI, RAG, and LLM fine-tuning
Mid-level Data Scientist & AI/ML Engineer specializing in secure ML and GenAI for finance
Mid-level Data Scientist specializing in AI/ML and Generative AI
Mid-level AI/ML Engineer specializing in NLP, LLM fine-tuning, and RAG pipelines
Mid-level Data Scientist / AI/ML Engineer specializing in secure cloud ML and GenAI
Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce