Vetted Tableau Professionals

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp

“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”

Neeraj Sadarjoshi

Screened

Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling

San Bruno, CA13y exp

“Ops/strategy leader with 10+ years in analytics, operations, and strategy (MBA) who has launched and scaled on-demand/express delivery capabilities in large retail ecosystems. Led complex, cross-functional initiatives including a 30-minute white-label delivery pilot for an automotive parts client and express delivery expansion for Sam’s Club across 800+ locations, with strong emphasis on driver supply, incentives, and on-time performance.”

“Former military professional who transitioned into finance and operations, then took on leadership responsibilities in a Series B AI tax SaaS company and later PMO/regulatory initiatives at Wafra. Brings a blend of finance, compliance, audit readiness, and cross-functional program execution, with experience managing distributed teams and modernizing paper-based processes into controlled digital workflows.”

Nishitha Thummala

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference

San Francisco, CA6y exp

“Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.”

“MBA-trained operator-investor who interned in venture capital at Marquee Ventures while also founding GoodBites Brisket Jerky. Brings a rare combination of startup evaluation experience and true zero-to-one execution, having built outbound sales, sourced manufacturers, created a website with Claude Code, and run day-to-day operations for a specialty food brand.”

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp

“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”

“Project/program manager with enterprise software implementation experience spanning Dynamics CE/CRM, Azure cloud migrations, SAP modules, and Project Online. Notably led a 20-person cross-functional team on a multi-country CRM migration across the US, UK, India, and Canada while simultaneously managing countries in requirements, pre-go-live, and post-go-live stabilization phases.”

“Recruiting leader with AWS LATAM experience managing teams of ~10 (up to 14) and personally owning executive searches for country leaders across Mexico, Chile, Peru, and Colombia. Led compensation benchmarking and package recalibration for new-country office launches (e.g., Argentina) and drove a major recruiting operating-model change to a centralized pod/virtual hiring approach to support rapid headcount growth.”

“Talent Acquisition/People Strategy leader who has managed a large recruiting organization (25 recruiters + 3 TA Managers) while staying hands-on with executive search. Known for enterprise-wide recruiting lifecycle standardization and for building workforce planning and DEI glidepath reporting that informs executive leadership decisions through data, dashboards, and forward-looking scenarios.”

“Fintech/neobank CTO (5+ years across US and UK markets) now building Payzo Money, a fintech copilot for SMBs covering expenses, accounting, invoicing, and payroll. Pre-revenue and seeking a $5M seed round, with active Bay Area conversations and a clear focus on bank sponsorship plus compliance/operations readiness; leverages Claude-based AI agents to accelerate building with limited resources.”

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp

“Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).”

“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”

Steve Palley

Screened

Executive product leader specializing in marketplaces, consumer products, and health-tech

Los Angeles, CA21y exp

“Product leader with a rare mix of zero-to-one marketplace building, AI product development, and mission-driven consumer experience work. Led the creation of StoryLoom at Pixelberry/Nexon as a 'Roblox for writers,' is currently building a privacy-conscious AI concierge for a first responder coaching marketplace, and previously co-founded ApplyMap to deliver free AI-powered college guidance for underserved students.”

“Healthcare systems leader with unusually broad provider-side experience spanning operations, finance, revenue cycle, supply chain, and strategic planning. Combines executive finance exposure—M&A support, bond offerings, debt reporting, IPO-related work, and FEMA/DOH coordination—with hands-on operating leadership, including recovering $350M in COVID relief funds and helping drive a turnaround that produced $90M in revenue plus $45M in savings within 6 months.”

“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”

“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”

Varna Sharma

Screened

Senior Product Marketing Manager specializing in sustainable materials and data center cooling

Midland, MI9y exp

“Global marketer currently at Dow owning end-to-end strategy across go-to-market, channel, customer engagement, promotion, and innovation, with heavy cross-regional executive alignment. Previously at Modern Meadow, made data-driven product strategy calls (e.g., resisting a high-profile Wimbledon footwear request to stay on a higher-margin handbag launch path) and is adept at streamlining stakeholder communication using targeted meetings and async documentation.”

Vandana Ravi

Screened

Mid-level GTM analytics professional specializing in strategy, operations, and growth

New York, NY6y exp

“Engineer and current MBA student making a post-MBA pivot into venture capital, with a strong track record of sourcing and nurturing early-stage founder relationships. She combines technical curiosity in AI with deep NYC ecosystem networking and says she has translated hundreds of qualified founders into conversations with relevant VCs.”