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.”

“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.”

“Backend engineer with hands-on experience building Flask REST APIs (auth, CRUD, S3 media uploads) and driving measurable Postgres/SQLAlchemy performance gains (p95 reduced to 200–400ms by eliminating N+1s and switching to keyset pagination). Implemented multi-tenant isolation with strict tenant scoping plus Postgres RLS, and built an OpenAI-powered quiz generation pipeline using queued workers, structured JSON outputs, and Celery/Redis optimizations to stabilize high-throughput workloads.”

“CMU candidate with hands-on experience taking LLM concepts from research prototypes toward production-ready designs (structured outputs, guardrails, failure-scenario evaluation). Also partnered with sales/customer teams at Mazecare to drive adoption with Dontia Alliance (largest dental clinic chain in Singapore) and engaged Singapore government stakeholders, bridging clinical workflow needs with IT security/integration concerns.”

Chris Deringer

Screened

Executive Marketing & Growth Leader specializing in SaaS and automotive digital marketing

Derwood, MD24y exp

“Growth-stage operator/CMO who helped scale DealerOn from 12 people and $1M to 800 people and $125M, building SEO/digital ads products, client success operations, and multi-source performance dashboards. Led a thought-leadership marketing engine with Google/Facebook partnerships and implemented Salesforce-based acquisition campaigns; experience optimizing onboarding and retention across different customer segments (auto dealers, law firms, home services).”

Jason Salas

Screened

Senior QA Engineer specializing in game quality ownership, automation, and analytics

Los Angeles, California9y exp

“QA/engineering background spanning Riot Games (VALORANT leaderboard systems) and early-stage startups. Has hands-on experience improving performance and reliability via caching, rate limiting, deduplication/idempotency, and shipping/validating high-stakes production hotfixes; also builds Next.js/TypeScript projects and automation/internal tools (Python).”

Ishwari Mulay

Screened

Intern Data Scientist specializing in analytics and healthcare data

Philadelphia, PA1y exp

“Analytics candidate with AstraZeneca internship experience building scalable SQL and Python workflows on large healthcare datasets. Stands out for combining data engineering, reporting automation, and applied machine learning— including an end-to-end patient no-show prediction project that achieved 76.8% accuracy and reduced no-shows by 18%.”

“Backend-focused Python engineer who built an end-to-end personalized chatbot service integrating Amazon Redshift context retrieval with Amazon Bedrock, including prompt construction and production-grade reliability controls. Strong platform experience deploying containerized services to Kubernetes with GitOps/ArgoCD, plus hands-on Kafka streaming and phased infrastructure migration execution.”

David Zeibert

Screened

Junior Development Analytics Analyst specializing in QSR growth and automation

Miami, FL3y exp

“Data-driven economy/incentives designer with experience across QSR brands (Popeyes and Burger King), spanning franchise development incentive systems and in-app game economies. Built live scorecards (Snowflake/SQL/Tableau) and regression-based sales forecasting models on thousands of restaurant records, and used app telemetry to tune progression loops and improve retention while aligning ops and business KPIs.”