.png){kind=logo}
Vetted Tableau Professionals
Pre-screened and vetted.
Senior investment professional specializing in venture capital, AI, and technology strategy
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Senior Software Engineer specializing in AI-powered full-stack platforms
Executive Product & Growth Leader specializing in identity verification, privacy, and GTM
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Technical Program Manager specializing in AI, cloud infrastructure, and distributed systems
Executive AI founder with expertise in defense, operations, and M&A
Mid-level Data Scientist specializing in Generative AI and LLM applications
Principal Data Scientist specializing in Generative AI and security analytics
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP
Tolulope Akinlabi
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”
Gayatri Puwar Mahendroo
Director-level Product Leader specializing in AI, platforms, and B2B SaaS
“Senior product leader with 15+ years spanning FAANG-scale platforms and early-stage startups, from Skype’s bot framework at 300M MAU to AI-native enterprise products in fintech, banking, and data center operations. Particularly strong in human-centered AI, trust and transparency UX, and turning ambiguous 0-1 opportunities into shipped MVPs that win pilots, awards, and business traction—including a GenAI observability platform that earned a Google Accelerator award and later led to acquisition.”
Brian Spang
Director-level Demand Generation & Digital Marketing leader in B2B SaaS and Cloud
“Growth marketing and marketing ops leader who joined a PE-owned SaaS business after $150M in annual sales and built the demand gen function from the ground up (roles, processes, tech stack, and reporting). Implemented SiriusDecisions-based lead processes, Salesforce-driven lead scoring/routing, and multi-touch attribution, then enabled sales via Challenger training—driving $231M in pipeline and improving marketing ROI to $6 pipeline per $1 spent.”
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Alan Lin
Junior financial engineering analyst specializing in portfolio analytics and data science
“Financial engineering analyst at BlackRock who has built internal data products for thousands of sales users, including an end-to-end fund comparison system that combines internal and third-party data into compliance-approved PDFs. Brings a mix of data engineering, stakeholder-heavy delivery, and emerging AI experimentation, with current work focused on regression testing and Snowflake-based portfolio data automation.”