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Vetted Data Governance Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Director-level Product Data Science leader specializing in experimentation and causal inference
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines
Executive product leader specializing in B2B SaaS, cybersecurity, and AI governance
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Director of Engineering specializing in AI/ML, data platforms, and consumer messaging
Executive Product & Technology Leader specializing in AI and healthcare platforms
Executive CIO/CISO specializing in enterprise technology, cloud, data governance & cybersecurity
Scott Luikart
Director-level Salesforce platform architect specializing in enterprise CRM strategy
“Salesforce-focused engineering leader who combines architecture depth with people leadership, operating today in a true player-coach role. They’ve built financial-services web apps on Heroku/Postgres integrated with Salesforce, navigated complex third-party API/vendor constraints, and have a strong track record of growing and mentoring teams—including developing junior hires into certified Salesforce talent and AppExchange/CI-CD contributors.”
Bradley Govender
Executive data and AI leader specializing in enterprise analytics transformation
“Product/data/analytics transformation leader with 6+ years driving large-scale modernization across media, healthcare, financial services, and consumer digital products. Notably led a challenging customer analytics transformation at Paramount Streaming and has hands-on experience prototyping LLM-powered analytics workflows while emphasizing governance, semantic layers, and human-in-the-loop deployment.”
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.”
Sreenaina Koujala
Mid-level Full-Stack & AI Engineer specializing in cloud and intelligent systems
“Builder with experience across government contracting, engineering automation, and solo AI product development. They architected a serverless AWS pipeline that converted unstructured BIM data into IFC 3D models, built an enterprise internal-data chatbot with auditability and guardrails at Steampunk, and independently launched an AI study platform using Claude. Strong fit for early-stage or ambiguous environments where end-to-end ownership and practical AI systems matter.”
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”