Vetted Data Analysis Professionals

“LLM/ML engineer who has shipped an enterprise RAG-based Q&A system (LangChain/LlamaIndex, FAISS + Azure Cognitive Search, GPT-3.5/4 via OpenAI/Azure OpenAI) to production on Docker + Kubernetes/OpenShift, tackling hallucinations, retrieval quality, latency/cost, and RBAC/IAM security. Also partnered with operations leaders to turn manual reporting into an LLM-powered summarization and forecasting dashboard driven by real KPIs and iterative stakeholder feedback.”

“Built and deployed a production LLM-powered document Q&A system enabling natural-language querying of large PDFs, focusing on retrieval quality (overlapped chunking) and low-latency performance (optimized embeddings + vector search). Experienced with scaling ML/LLM workflows using async/batch processing, caching, cloud storage, and orchestration via Apache Airflow with robust testing, monitoring, and failure handling.”

“People/HR leader specializing in change management, leader coaching, and people analytics—partnered with VP Operations and HR to execute a large-scale restructuring ahead of a major live event cycle with compressed timelines. Uses a systems-thinking, metrics-first approach (operational + engagement + adoption) and has resolved high-stakes ER conflicts involving retaliation allegations through neutral investigations and mediation.”

“Built and deployed a production LLM system that scraped Google Maps menu photos, extracted structured prices via OpenAI, and cross-validated them against website-scraped data to automate data-quality verification at scale (replacing costly manual contractor checks). Demonstrates strong reliability instincts—precision-first prompting, output gating with image-quality metadata, and fuzzy matching/RAG techniques—plus solid orchestration (Dagster/Airflow) and observability (Sentry, Prometheus/Grafana).”

“Operated as a data-driven cross-functional leader during a major company transition, owning initiatives across sales forecasting, pipeline analytics, and GTM process changes. Built an executive operating cadence with dashboards and weekly briefing packets that reduced information-chasing and improved decision-making, and successfully mediated Sales/Finance forecast assumption disputes using a single-page, fact-based recommendation.”

“Customer-facing implementation/security-focused professional with experience at Freshworks and IMImobile (Cisco), advising enterprise customers on app security for CRM/ITSM and sensitive/PII workflows. Has led threat-model-driven remediation for API/RBAC/token risks and troubleshot complex cloud integration incidents (token expiry + load balancer misrouting) using logs/metrics/tracing, escalating with clear technical reports to accelerate engineering fixes.”

“Sales development professional with strong outbound and enterprise support experience, generating $2.5M pipeline and 15–20 meetings/month with a 45% meeting-to-opportunity conversion rate. Broke into the financial sector using ZoomInfo/LinkedIn Sales Navigator and Outreach sequencing, and helped win a $250K Nevada Department of Corrections deal by nurturing a CISO relationship over 8 months; known for exemplary Salesforce hygiene (Trailblazer certified).”

“Cofounded a travel app and built a production place recommendation + review system end-to-end using Next.js App Router and TypeScript, including Postgres-backed APIs and post-launch monitoring. Uses structured logging with Sentry and Vercel Analytics to diagnose issues and validate performance improvements, and has some exposure to Temporal-based workflow orchestration with retries/idempotency.”

“Customer-facing technical professional with hands-on ad tech experience enabling a non-SDK header-bidding integration by analyzing APIs/SDK behavior, documenting end-to-end requirements, and guiding the customer through release. Strong at tailoring technical demos for mixed executive/engineering audiences and partnering with sales on metrics-driven launches and beta rollouts. No direct on-the-job LLM/agentic systems experience yet, but interested in moving into that space.”

“Game/technical designer with live-service ownership at Wargaming (World of Tanks) driving KPI-based monthly events and engagement loops via data-informed reward tuning. Recently shipped Batman Arkham Shadow by automating a narrative pipeline that converted script-graph dialogue into a string library, cutting weeks of work down to hours under aggressive deadlines. Experienced rapid prototyping in UE4 (including AI-driven mode logic) and cross-functional alignment practices.”

“AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.”

“Backend/platform engineer who has built and scaled production Java/Spring Boot + Kafka services on AWS/Kubernetes (1M+ msgs/day) and led reliability/performance fixes that restored SLAs (25–30% latency improvement; 99.9% uptime). Also shipped an AI customer-support chatbot end-to-end using retrieval + guardrails and rigorous evaluation/observability, improving resolution time 40% and satisfaction 25%, with a strong plan/execute/verify approach to agentic workflow reliability.”

“Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.”

“Cross-functional operator with experience hiring and standing up a product support function, then reducing ambiguity across Sales/CS/Product Support through clear roles and KPI-driven accountability. Reported outcomes include +20% customer satisfaction, +40% employee engagement, and -10% churn, with an emphasis on structured execution (deliverables/deadlines/follow-ups) and proactive risk/disaster recovery planning.”

“Performance marketer focused on B2B SaaS pipeline quality, managing a $90K/month spend across Google, LinkedIn, Meta (and TikTok in other accounts). Uses rigorous hypothesis-led testing with offline conversion/SQL-based optimization to scale efficiently—delivering +21% SQL growth at flat CPL and recovering stalled performance with a +25% SQL lift in 6 weeks.”

“Unity/VR developer and PhD researcher who served as lead developer on a clinical VR application (VheaRts) used by surgeons at Great Ormond Street Hospital, taking over a messy codebase and rebuilding its architecture, documentation, and extensibility. Also built research-focused Unity VR experiments (e.g., change blindness in a dynamic living room) with sophisticated logic to control participant attention while monitoring physiological cues.”

“LLM/RAG engineer with production deployments in highly regulated domains (Frost Bank and GE Healthcare). Built secure, explainable document-grounded Q&A systems using LoRA fine-tuning, strict RAG with confidence thresholds, and citation-based responses; also established evaluation/monitoring (golden QA sets, hallucination tracking, drift) and achieved ~40% latency reduction through retrieval/prompt tuning.”

“ServiceNow engineer who built an AI-powered ticket summarizer end-to-end (RAG with vector DB + GPT, Redis latency optimizations, fallback summarization, and a React UI widget for agent feedback). Also has hands-on ROS 2 experience building real-time sensor-fusion nodes (LiDAR/IMU), debugging SLAM/navigation issues via rosbag + EKF tuning, and bridging heterogeneous robots by translating ROS 2 topics to MQTT/JSON. Strong DevOps background with Docker, Jenkins CI/CD, and Kubernetes orchestration for scalable deployments.”

“MS thesis work in the University of Washington Autonomous Controls Lab building a full quadrotor guidance/navigation/control stack, including high-fidelity dynamics modeling and an SCP trajectory optimizer made robust to wind via trust regions and MPC-style replanning. Also built an autonomous RC car using ROS on Jetson Xavier with ZED stereo/VIO, implementing perception (point cloud filtering/clustering) and state estimation while addressing real-time synchronization and latency challenges.”

“LLM-focused customer-facing technical leader with experience productionizing LLM workflows in financial services (State Street), including guardrails, retrieval tuning, and reliability improvements. Also partners closely with sales and executives—at Payoneer helped drive enterprise-wide adoption for a $10M ARR global account through technical discovery, demos, and pilots.”

“Early-stage/first sales hire profile with strong outbound motion and process-building experience. Self-sourced and closed a $2.8M Yahoo deal (8-month cycle) using a shared mutual plan to manage stakeholders and timelines, and has recent mid-market ACV wins selling Mapistry to environmental compliance managers by enabling champions to secure internal budget. Has also implemented MEDDICC and built foundational GTM assets (e.g., Quantcast’s first sales deck used in $2B+ of closed business).”

“Customer Success leader with deep ad tech expertise who owned enterprise accounts end-to-end, including Bank of America, driving ad fraud down from ~8–10% to <1% in ~3 months and resolving spikes through data-driven investigations. Experienced partnering cross-functionally as a PM to build analytics dashboards and using user stories to align Product/Engineering/Sales and influence roadmap priorities; also supports land-and-expand via paid benchmarking/industry data upsells.”

“Founder/CEO who built Hometown Heart from the ground up—creating SOPs and standing up hiring, GTM, finance, and investor/government relations—scaling from 6 employees and $100K debt to 350 employees and $40M in annual revenue in 3 years. Led expansion into San Francisco County, proactively managing compliance/licensing and municipal stakeholders to secure early approvals and drive major revenue growth.”

“Built and deployed production LLM-powered document summarization/classification systems using embeddings, vector databases (RAG-style retrieval), and automated evaluation (BERTScore/ROUGE), with a focus on monitoring and scalable cloud pipelines. Also partnered with a fraud analytics team to deliver a transaction anomaly detection solution, translating model outputs into Power BI dashboards and actionable KPIs while iterating on thresholds and alerts based on stakeholder feedback.”