Vetted Analytics Professionals

“Bootstrapped founder of ByteThirst, a launched browser extension and CLI that monitors and estimates the environmental cost of LLM usage. They are targeting a niche climate-tech/AI space with support for 14 platforms, a freemium subscription model, and a first-mover thesis backed by market research, market sizing, and profit projections.”

“Unity developer with hands-on VR experience focused on “game feel,” enhancing immersion by adding touch-reactive visuals, custom haptics, and spatialized binaural interaction audio in collaboration with an audio team. Has recent multiplayer experience using Unity Netcode and uses AI tools for code review and rapid upskilling (e.g., reactive programming). Seeking a fully remote role with compensation around €60–70k.”

“Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.”

“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”

Sudhir Nelvagal

Screened

Executive Product & Engineering Leader specializing in Cloud/SaaS, AI/ML, and Cybersecurity

Cary, NC30y exp

“Engineering/technology leader with experience at GE, Owl Cyber Defense, and Team Cymru, focused on translating VOC and business strategy into iterative product/technology roadmaps. Led delivery of a Continuous Threat Exposure Management/asset discovery capability integrated with threat intel, reaching GA in ~2 quarters and generating ~$300K in pre-GA orders. Has scaled engineering organizations significantly (to ~100 FTE) and driven big-data security architectures using Kafka and ClickHouse with data-driven cost/performance tradeoffs.”

Taylor Bloom

Screened

Executive sports technology leader and entrepreneur

Remote, USA14y exp

“Entrepreneurial media founder who built SportTechie from a side blog into an influential B2B sports-tech media company, raised capital, and sold it to Leaders Group (Advance Publications). Brings hands-on CEO experience across fundraising, monetization, hiring, and exit execution, plus strong ties to the sports-tech startup and accelerator ecosystem.”

“Full-stack engineer with 5+ years of experience who built real-time data visualization and analytics systems at Uber, spanning React/TypeScript frontends, Node/GraphQL services, Kafka pipelines, and PostgreSQL. Particularly compelling for teams needing a hands-on builder who can turn ambiguous customer needs into scalable products, and who has also applied RAG with LangChain/OpenAI over 1.8M support files to surface actionable insights.”

“Product leader with experience at Chegg building student-focused education products, including an ebook subscription launched in response to Amazon competition that helped drive major digital growth. Also led integration of AI/ML capabilities for question classification and personalized learning workflows, with a strong emphasis on accuracy, affordability, and acting on student feedback.”

“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”

“Healthcare data platform builder with experience at Aetion delivering a rule-based EMR/EHR ingestion and validation framework that cut onboarding from 8–10 weeks to hours and unlocked $30M+ in revenue over ~3 years. Motivated to found an AI/agent-driven healthcare solution, with a specific interest in using PET scans, doctor notes, and treatment data with LLMs to help predict cancer progression and guide next-step treatments.”

“Internship experience building a production LLM-powered podcast operations agent that automated lead intake (HubSpot), guest research, scheduling (Calendly), meeting-summary evaluation (Gemini), and human approval via Slack bot—while retaining rejected candidates for future outreach. Also contributed to ideation of a multi-agent orchestration framework with parsing and task routing, and emphasized reliability via structured prompts, HITL feedback, and prompt-based test sets.”

“AI/LLM engineer at Capital One who deployed a production RAG-powered fraud analysis and document intelligence platform using LangChain, OpenAI, Pinecone, Kafka, and AWS. Focused on reliability in real-time investigations via hybrid retrieval, schema-validated outputs, and LLM verification loops, reporting review-time reduction from hours to minutes and ~99% fraud detection precision.”

“Cross-functional operator with experience at Amazon and Airbus, known for building executive-facing systems (dashboards, AI-enabled project management, operating cadences) that improve communication and efficiency. Has handled high-pressure, multi-timezone priorities and customer-facing technical escalations using structured documentation and frequent stakeholder updates, while maintaining discretion in sensitive situations.”

“Senior data engineer with experience in both healthcare (CVS Health) and financial services (Bank of America), building large-scale Azure lakehouse pipelines (30+ EHR sources, ~5TB) and real-time streaming services (Event Hubs/Kafka) for patient vitals. Strong focus on reliability and data quality (Great Expectations, monitoring/alerting, schema drift automation), with measurable outcomes like 50% runtime reduction and 99%+ uptime for regulatory reporting pipelines.”

“Compensation and payroll professional with hands-on experience owning U.S. payroll validation, reconciliation, and exception management, plus supporting compensation cycles across base pay, bonuses, and incentives. Stands out for building Excel-based audit and validation tools, resolving HRIS/payroll/finance data mismatches, and strengthening controls to improve payroll accuracy and compensation consistency.”

“Customer-facing technical pre-sales operator with experience spanning conversation intelligence, fraud/AML, martech personalization, and SEO SaaS. Stands out for turning complex enterprise evaluations into credible implementation paths, with measurable impact including a 33% reduction in deployment timelines, $5.4M+ ACV account support, and direct influence on seven-figure pipeline and deal outcomes.”

“Former Aviation Operations officer turned corporate strategy consultant with a rare blend of military leadership, client-facing commercial experience, and large-scale enterprise transformation work. Has led regulatory, process, and organizational redesign efforts at a major bank affecting 40,000+ employees, while also building compliance and operations programs from scratch in a startup construction environment.”

“Frontend engineer with experience building real-time trading operations dashboards in React and TypeScript, focused on dense operational data, performance tuning, and maintainable component design. They have production experience optimizing large-data UIs and academic exposure to map-based weather applications using Google Maps and Mapbox, while currently requiring future H-1B sponsorship.”