Vetted Dashboard Development Professionals

“Built and owned an end-to-end Seat Allocation & Management System at Accenture, replacing a legacy process with a scalable web app used across teams. Deep focus on reliability under concurrency (transactions + unique constraints + idempotent APIs) and on Postgres performance tuning (composite indexes, EXPLAIN ANALYZE), plus post-launch production support and monitoring.”

“Software engineer in the mortgage/financial services domain (Freddie Mac) who builds end-to-end loan origination and credit risk capabilities using Spring Boot microservices, Angular dashboards, and data pipelines. Delivered measurable impact (30% reduction in underwriting turnaround time) and emphasizes production reliability/compliance with strong guardrails, observability, and evaluation loops for risk scoring systems.”

“GenAI/ML engineer from Lucid Motors who built and productionized an LLM-powered RAG diagnostic assistant for manufacturing and maintenance teams, deployed on AWS with Docker/Kubernetes and MLflow. Demonstrates end-to-end ownership from retrieval/prompt design to scalability, monitoring, and workflow integration via APIs, plus production ML pipeline orchestration with Kubeflow (Spark/Kafka + TensorFlow) for predictive maintenance use cases.”

“Software engineer/product-focused builder who has delivered customer-facing dashboards (React/TypeScript + Spring Boot) and microservices using RabbitMQ, emphasizing safe, fast iteration with CI/CD, feature flags, and monitoring. Also built an internal monitoring/reporting tool adopted by ops/support by involving users early and iterating based on feedback.”

“Operations leader/advisor with experience joining a Cedar Sinai Accelerator spinout (RAIOS) at an inflection point and rebuilding the company’s internal ops “connective tissue” across HR, finance, IT, product, and sales. Uses structured frameworks (RACI, OKRs/KPIs), rapid diagnostics, and tool centralization (Gusto, BILL, Brex) to create scalable, founder-friendly operating systems.”

“Sourcing/procurement professional with hands-on CAPEX equipment sourcing experience, building RFI/RFP packages, qualifying new vendors, and negotiating using market and internal spend data. Demonstrated process-improvement impact by redesigning proposal evaluations into a parallel workflow, cutting sourcing cycle time by ~20% while maintaining evaluation rigor.”

“Talent Acquisition/Recruiting Operations leader with 10+ years driving large-scale K-12 district hiring, including staffing across 200 schools and managing thousands of candidates annually. Known for redesigning fragmented recruiting workflows and implementing ATS solutions (Lever, AppliTrack, Taleo, Oracle HCM) to deliver measurable gains: 15% vacancy reduction, 20% faster time-to-hire, 30% fewer compliance errors, and 25% faster onboarding.”

“Built and deployed a production LLM/RAG clinical decision support system that enables real-time semantic search over unstructured EHR notes and delivers patient risk insights. Strong in healthcare-grade MLOps and compliance (HIPAA, PHI handling, encryption, RBAC, audit logs) and scaled embedding/retrieval pipelines using Spark/Databricks and Airflow. Partnered with clinicians via Power BI dashboards and explainability, contributing to an 18% reduction in patient readmissions.”

“Growth and creator/affiliate partnerships operator with Temu experience scaling gamified in-app referral/retention loops (Fishland, Lucky Flip). Built relationships with top, sometimes “black-hat,” affiliates via Discord/Reddit, extracted and systematized winning tactics through A/B/multivariate testing, then scaled them through paid channels. Also brings a personal creator network from a student-founded business plus Instagram/TikTok pages totaling 1M+ followers to ramp campaigns quickly and drive strong ROAS.”

“Recruiting Operations/Talent Ops leader who owns end-to-end TA process, tech stack, and vendors, with experience managing both small direct teams and 20+ person matrix groups. Led complex compliance-focused workflow redesigns (including consent and candidate-to-req linking with 97% completion in 24 hours) and served as TA project manager for a PeopleSoft-to-Workday HCM transition while keeping the ATS running, aligning US/Canada process differences through security and routing.”

“Integration engineer at ES Foundry who led deployment of ELsentinel, a production EL image-based solar cell quality monitoring system using a Swin Transformer classifier (>0.8 F1 across 15+ classes) plus a live real-time prediction dashboard. Strong in solving messy labeling/data-quality problems with process-team collaboration and shipping ML systems despite limited compute/infrastructure.”

“TA/Recruiting Operations leader with 12+ years building and scaling end-to-end talent ecosystems across Celanese, Flex, Children’s Health, and Pierpoint RPO—managing teams up to 40+ and owning people/process/technology. Known for major transformations including iCIMS implementation, RPO integration with rapid 30-day go-live, and a Six Sigma-driven workflow redesign that improved throughput ~30%. Also designed high-volume global hiring programs using automation (hireEZ) and live client dashboards (Avature).”

“ML/AI engineer with Capital One experience building production-grade customer segmentation and fraud detection systems combining NLP (transformers) and anomaly detection. Strong MLOps and orchestration background (PySpark ETL, MLflow, Airflow, Docker/Kubernetes, Azure ML) with real-time monitoring/alerting and performance optimizations like quantization and caching, plus proven ability to deliver business-facing insights through Power BI/Tableau for marketing stakeholders.”

“Built and deployed a production LLM-powered internal documentation assistant using embeddings, a vector database, and a RAG pipeline to reduce time spent searching PDFs/manuals. Experienced in orchestrating end-to-end LLM workflows with Airflow/LangChain, improving reliability via monitoring/error handling, and driving measurable quality through retrieval and hallucination-focused evaluation metrics.”

“Senior Membership Manager at Chief who operated in a player/coach leadership role across US/UK teams. Partnered with CRO and RevOps to shift the business from a city-by-city model to a national GTM, scaling membership from 3,400 to 20,000+ and lifting conversion 10% through revamped workflows, enablement, and data-driven KPI dashboards.”

“AI/ML engineer with production LLM experience in regulated financial services (J.P. Morgan Chase), building a customer response engine to automate first-contact resolution while addressing privacy, bias, compliance, and scale. Strong MLOps/orchestration background (Airflow, Docker/Kubernetes, AWS Step Functions, Azure ML/SageMaker) plus proven ability to integrate with legacy systems and drive stakeholder adoption through dashboards, auditability, and training.”

“Talent Ops/TA leader who has managed a 15-person combined recruiting + operations team and owned major HR tech initiatives, including end-to-end CRM implementations (Phenom People, GEM) and ATS/HRIS compensation-field integrations (PeopleSoft to Taleo). Known for measurable process improvements—cut time-to-fill from 100 to 65 days, increased offer acceptance by 20%, and boosted referrals by 30%—and for building analytics dashboards to pinpoint funnel bottlenecks and hiring manager responsiveness.”

“Software engineer focused on real-time, low-latency AI pipelines: built an end-to-end mobile-to-backend image classification system using React Native/Expo, Node.js, gRPC, MySQL, and Google Vision AI, optimizing throughput and latency. Also integrated an AI model into a real-time field workflow at DTE via Node.js + Azure Databricks, adding data cleaning/validation and safe fallback logic for reliability in operations.”

“Data/ML practitioner with experience applying NLP and classical ML to large-scale customer data (2B+ records) for segmentation, prediction, and survey-text classification, delivering measurable business impact (~18% engagement efficiency). Has hands-on entity resolution across multi-source datasets and has built embedding-based semantic search using SentenceBERT + a vector database with domain fine-tuning (~20% relevance improvement), plus production workflow experience with Spark/Airflow and cloud tooling (AWS/Azure).”

“Product-focused full-stack engineer with FedEx experience building an internal logistics dashboard for near real-time shipment status and performance metrics using Next.js App Router + TypeScript. Strong in production ownership and performance work—uses React Profiler/Chrome DevTools to eliminate expensive re-renders and applies Postgres indexing/query tuning validated via EXPLAIN ANALYZE to improve dashboard responsiveness.”

“Operations and general management leader with experience spanning Citibank (Regional VP), a startup COO/GM role, and industrial operations at Tatco. Has delivered high-impact operational and technology changes including a Paychex payroll migration for 150+ employees and an ERP/subscriber migration of 200,000+ records that improved marketing execution and sales enablement, while also managing executive alignment and sensitive workforce matters.”

“Customer Success/CSM leader with Freshworks enterprise experience owning complex accounts end-to-end (onboarding, adoption, renewal, and expansion). Demonstrated impact through quantified outcomes (e.g., +20% resolution speed, +15% CSAT, +25% handling-time improvement) and strong cross-functional execution on high-stakes integrations (Freshdesk–Salesforce) plus product influence via PRDs/user stories (Shopify integration improvements).”

“Full-stack engineer with fintech and AI feature experience who shipped an AI-powered project summary module in Next.js (App Router + TypeScript) with secure server-side fetching and route handlers to a FastAPI backend, then owned monitoring and performance fixes in production. Demonstrated measurable UX wins (30% faster dashboard loads) and strong backend fundamentals (Postgres indexing/EXPLAIN ANALYZE, SQS-orchestrated idempotent reconciliation workflows with DLQs and retries).”

“Sourcing/procurement professional with end-to-end ownership of vendor selection, negotiation, and delivery for AI-enabled workflow automation products. Uses structured scorecards, SLA/KPI-driven supplier management, and dual-sourcing strategies to reduce risk—delivering measurable outcomes like 18% cost savings, OTD improvement from 82% to 96%, and 25% rework reduction while navigating data quality drift and trade/duty exposure.”