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Vetted Data Ingestion 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.”
Sanghavi Yelmelwar
Mid-level Software Engineer specializing in FinTech and Healthcare systems
“Data engineer who has owned end-to-end production pipelines ingesting ~500GB/day from APIs/databases/Kafka into an S3 data lake (Glue/Spark) with Airflow-orchestrated Great Expectations quality gates. Built resilient external data collection systems with idempotent jobs, exponential-backoff retries, raw data capture, and backfills; also shipped Snowflake-backed APIs with caching, versioned endpoints, and backward-compatible data contracts. Led an early-stage Azure data platform build with phased delivery and GitHub Actions CI/CD, resolving schema-mismatch incidents quickly without downstream corruption.”
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Director-level Engineering Manager specializing in consumer healthcare platforms
Senior Software Engineer / Solutions Architect specializing in data platforms and AI/LLM integration
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Mid-Level Machine Learning Engineer specializing in neuromorphic perception and distributed systems
Junior Data Analyst / ML Engineer specializing in analytics pipelines and recommendation systems
Junior Software Engineer specializing in ServiceNow, data engineering, and AWS
Mid-level Software Engineer specializing in distributed systems and applied ML
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services
Mid-level AI/ML Engineer specializing in NLP, speech AI, and RAG systems
Senior Full-Stack Software Engineer specializing in cloud microservices and GenAI
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Entry-level Software Engineer specializing in systems and healthcare data
Vaughn Eugenio
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”