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Vetted Workflow Orchestration Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in LLM agents, RAG pipelines, and LLMOps
Executive AI strategy and engineering leader specializing in healthcare and federal AI
Mid-level Software Developer specializing in cloud-native data platforms and MLOps
Senior Data Scientist / Machine Learning Engineer specializing in production AI systems
Director-level Engineering Manager specializing in data platforms and AI infrastructure
Senior AI Engineer specializing in NLP, LLMs, and healthcare platforms
Senior Software Engineer specializing in backend workflow orchestration (FinTech & Healthcare)
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Intern Software Engineer specializing in cloud-native distributed backend systems
Intern Machine Learning Engineer specializing in recommender systems and financial risk modeling
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Sangeeth Kumar Mohan
Senior Lead Software Engineer specializing in authentication platforms and distributed systems
“Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).”
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Ajith P
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”
Max Matkovski
Junior Machine Learning Engineer specializing in data pipelines and applied AI
“Built a production AI agent for phishing fraud detection using n8n orchestration, Claude (Sonnet 4/MCP), VirusTotal, and JavaScript formatting to generate and deliver email-based reports via Gmail. Has experience evaluating detection accuracy against known examples, iterating via feedback, and presenting AI solutions to non-technical teams.”
Nicolas Collins
Senior Full-Stack Engineer specializing in AI and cloud-native applications
“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”