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Vetted Deep Learning Professionals
Pre-screened and vetted.
David Kidwell
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”
Nate Zaidi
Senior Full-Stack Engineer specializing in Python, AI/ML, and cloud applications
“Backend/data engineer with hands-on production experience across FastAPI/PostgreSQL APIs and AWS (Lambda, ECS) delivered via Terraform + GitHub Actions. Built Glue-based ETL pipelines into Redshift with schema evolution and data quality checks, modernized legacy reporting into Python microservices, and has demonstrated measurable SQL performance wins (multi-second query reduced to sub-300ms).”
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Intern software engineer specializing in AI, cloud, and full-stack systems
Intern-level Software Engineer specializing in backend systems and applied AI
Junior AI/ML Engineer specializing in LLMs, RAG, and multimodal agents
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Intern Software Engineer specializing in cloud infrastructure and distributed systems
Junior ML Engineer specializing in GenAI agents, RAG, and computer vision
Junior Machine Learning Engineer specializing in generative modeling and computer vision
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Mid-Level Machine Learning Engineer specializing in neuromorphic perception and distributed systems
Senior AI/ML engineering leader specializing in healthcare and life sciences
Junior AI Research Engineer specializing in NLP, speech and generative AI
Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting
Junior Finance & Strategy Analyst specializing in business analytics and financial modeling
Junior Robotics & Controls Engineer specializing in state estimation, simulation, and ROS2