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Vetted Looker Professionals
Pre-screened and vetted.
Executive Software Engineering Leader specializing in scalable SaaS and distributed systems
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level Game Designer & Level Designer specializing in Unreal Engine and live ops
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Pranali Redij
Marketing Analytics & Marketing Operations professional specializing in CRM and automation
“Lifecycle/CRM marketer with hands-on HubSpot expertise who improves funnel performance by fixing data foundations (workflow logic + validation), then building lifecycle segmentation, nurture sequences, and measurement dashboards tied to CAC/ARR. Has driven measurable lifts in data accuracy, early lifecycle engagement, and lead qualification through targeted messaging and A/B-tested email optimization across companies including Wicket and Beekind.”
Shane Weinstock
Senior Data Scientist & Product Analytics Leader specializing in ML and experimentation
“Aspiring founder with ~15 years of experience across varied backgrounds, motivated by frustration with slow, change-resistant large organizations and a desire to bring innovative ideas to market. Familiar with how venture capital/accelerators function (though not directly worked in them) and expresses strong willingness to take entrepreneurial risks.”
Aditya illur
Mid-level Platform/SRE Engineer specializing in Kubernetes and multi-cloud automation
“Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.”
Mid-Level Software Engineer specializing in full-stack web development and cloud DevOps
Mid-level Business Analyst specializing in data analytics and process improvement
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Executive Technology Leader (CTO/CIO) specializing in AI, cybersecurity, and SaaS
Nagaraju Kanubuddi
Mid-level AI/ML Engineer specializing in fraud detection, recommender systems, and forecasting
“ML engineer/data scientist who built and deployed a real-time fraud detection platform at Citi on AWS SageMaker, processing 3M+ daily transactions and improving fraud response by 28%. Combines unsupervised anomaly detection (autoencoders) with ensemble models (XGBoost/Random Forest) plus Airflow/Step Functions orchestration, drift monitoring, and explainability (SHAP) to keep models reliable and compliant in production.”