Vetted Dashboard Development Professionals

Craig Bower

Screened

Executive operations leader specializing in PE-backed healthcare platform integration

New York Metro, USA8y exp

“Healthcare and multi-entity operations leader who progressed from managing infrastructure at NYU Langone to building enterprise operating systems across acquired businesses at True Ventures Group, and now serves as founding COO at NSCS. Stands out for combining hands-on integration execution with executive-level governance, including $12M budget ownership, $1.3M in savings, double-digit EBITDA growth, and centralized shared-services buildouts across clinical and care operations.”

“Open-source JavaScript contributor focused on performance and maintainability in data visualization libraries—refactored legacy ES5 into modular ES6, added tests/docs, and delivered ~30% faster load times with positive community adoption. Also optimized a React dashboard (~40% load-time reduction) and took ownership in an ambiguous AI product initiative by setting milestones, standing up an initial ML pipeline, and shipping a prototype in ~6 weeks that became the basis for production.”

“Growth creative marketer who led end-to-end experimentation for Kahana’s Oasis agentic browser launch, repositioning it as a task-specific “productivity multiplier” and validating the message via structured A/B tests across Meta, LinkedIn, and landing pages. Reported performance lift included CPA reductions (23% Meta, 17% LinkedIn) and a 28% ROAS increase, with a repeatable modular framework for rapid creative iteration and hands-on direction of UGC creators and editors.”

Harsha Golla

Screened

Mid-level Supply Chain Analyst specializing in inventory optimization and demand planning

USA5y exp

“Wayfair strategic sourcing/procurement professional who led a major shift from push-based replenishment to a demand-driven pull model, combining SAP IBP/S4HANA planning with supplier renegotiations and performance scorecards. Drove measurable outcomes including $100K annual savings, 98% on-time delivery, and an SAP Fiori + Tableau inventory visibility improvement that cut 1,500 units of waste and saved $150K.”

Yaw Prempeh

Screened

Director-level Performance Marketing Leader specializing in paid social and Google demand platforms

New York, NY5y exp

“Performance marketer managing high-spend ecommerce and lead-gen accounts across Meta and Google, including $120K in 3 weeks for a women’s fashion peak sale where they drove 13x blended ROAS vs a 6x target (Oct 2025). Experienced in full-funnel conversion setups (PMax, RSA, Advantage+, DPA), audience segmentation for incremental acquisition, and creative testing/refresh to combat ad fatigue; also ran creative messaging tests at Scholastic focused on teacher lead conversion.”

“Marketing analytics candidate with experience at WPP and on a global Coca-Cola campaign, focused on turning messy multi-platform media data into trusted reporting and decision systems. They combine hands-on SQL/Python pipeline building with stakeholder KPI alignment, and cite a 22% improvement in media effectiveness plus faster budget reallocation through daily automated reporting.”

“Analytics professional with higher education experience at the University of Dayton, focused on turning inconsistent operational data into standardized metrics and recurring dashboards. They combine SQL, Python, and Power BI to automate reporting, improve data integrity, and reduce manual reporting by 30%, with outputs adopted in semester planning and cross-department performance tracking.”

Kaitlyn Silver

Screened

Junior HR analytics and business student specializing in people data and strategy

Atlanta, GA3y exp

“Early-career candidate and current college senior who serves as a TA for an entrepreneurship class, where they teach structured outbound sales methods. While they lack direct sales-role experience, they demonstrate unusually strong conceptual knowledge of cold calling, stakeholder mapping, qualification, and data-driven messaging optimization, plus hands-on performance marketing experience from running a social media account.”

“Candidate appears to work at the intersection of enterprise billing/payments systems and AI-powered support automation. They describe owning customer deployments, integrating PayPal/Stripe, building LLM/RAG workflows for finance operations, and handling production incidents affecting millions of invoice events with measurable improvements in resolution time and ticket volume.”

“Backend/AI engineer who has owned production agentic systems end-to-end, including a CRM-integrated multi-agent financial workflow at Wow Payments that cut latency by 83% and achieved 98% uptime. Also built an AI real estate product ('Site IQ') by turning vague stakeholder goals into a geospatial autonomous agent using RAG, rapid prototyping, and tight validation layers around GPT-4 outputs.”

John Patton

Screened

Executive Atlassian and Agile transformation leader specializing in AI-enabled enterprise collaboration

Aberdeen, NJ6y exp

“Product leader with hands-on experience modernizing enterprise internal tooling and shipping AI-enabled support workflows. At Peloton, they led the end-to-end migration of Jira, Confluence, and JSM from on-prem Data Center to cloud; at Atlas Vega, they implemented a RAG-based Slack/JSM support assistant with strong governance, data hygiene, and measurable support outcomes.”

“Front-end engineer with experience building high-stakes internal products in financial services at Visa and Wells Fargo. They combine deep browser-performance knowledge with pragmatic typed architecture and close user observation, delivering measurable outcomes like cutting AML case resolution from 12 days to 4 and improving trader alert response through data-driven UI changes.”

“Entry-level software engineer with strong full-stack experience building React/TypeScript and Node.js analytics products, especially around performance optimization for large datasets. Stands out for combining hands-on engineering with user discovery, and for delivering measurable wins like 40% fewer API calls, page load improvements from 3.2s to 1.1s, and 70% faster PostgreSQL queries during an internship at Tapastry.”

“Frontend-focused candidate with hands-on experience building React and TypeScript dashboards for searching, filtering, and analyzing large datasets in real time. Demonstrates practical performance tuning skills using React DevTools, memoization, debouncing, and pagination, and has also built a Mapbox-based location data dashboard with interactive markers and popups.”

“Full-stack product engineer who has built both operational systems and enterprise AI copilots in production. They owned an AI-powered inventory platform end-to-end, driving a 45% drop in stock issues, and also shipped a Microsoft Teams-based HR/IT copilot using RAG and workflow automation that reduced repetitive support queries by roughly 30%.”

“Backend/data platform engineer who led a major redesign of a hybrid streaming+batch analytics platform processing 10+ TB/day (Airflow/Hive/BigQuery) with strong data-quality automation. Also built a production RAG PDF assistant with concrete mitigations for hallucinations and prompt injection (re-ranking, grounding, verifier step) and has deep experience executing low-risk migrations (dual-write, blue-green, rapid rollback) and implementing JWT-based row-level security.”

“Built and deployed a compliance-sensitive LLM pipeline that extracts rebate logic from hospital–supplier medical contracts, using multi-layer redaction (regex/NER/dictionary), schema-validated structured outputs, and secure placeholder reinsertion. Hosted models on Amazon Bedrock to avoid retraining on sensitive data and improved both accuracy and cost by splitting the workflow into a lightweight section classifier plus a fine-tuned extraction model, orchestrated with LangChain and evaluated via layered, test-driven agent assessments.”

“Backend engineer with hands-on manufacturing/production-systems experience at Wallbox, improving the Supernova charger rework process by streamlining part-number/component updates. Strong in building modular Python/Flask services with clean integration layers (Cosmos DB, NetSuite, traceability/label printing), plus deep SQLAlchemy/Postgres performance tuning. Also brings scalable AI/ML integration and deployment experience (OpenAI/Hugging Face/TensorFlow Serving, Docker/FastAPI/Nginx) and multi-tenant schema isolation with RBAC.”

“Designed and deployed an enterprise LLM-powered clinical/pharmacy policy knowledge assistant at CVS Health, replacing manual searches across PDFs/Word/SharePoint with a HIPAA-compliant RAG system. Built end-to-end ingestion and orchestration (Airflow + Azure ML/Data Lake + vector index) with PHI masking, versioned re-embedding, and production monitoring (Prometheus/Grafana), and partnered closely with clinicians/compliance to ensure policy-grounded, auditable answers.”

“At Dreamline AI, built and productionized an AWS-based incentive intelligence platform that uses Llama-2/GPT-4 to extract eligibility rules from unstructured state policy documents into structured JSON, then processes them with Glue/PySpark and serves results via Lambda/SageMaker/API Gateway. Designed state-specific ingestion connectors plus schema validation and automated checks/alerts to handle frequent policy/format changes without breaking the pipeline, and partnered with business/analytics stakeholders to deliver interpretable eligibility decisions via explanations and dashboards.”

“Human-AI Design Lab practitioner who productionized a wearable-health anomaly detection system by evolving a standalone autoencoder into a hybrid autoencoder + GPT-based approach, backed by PySpark ETL and MLOps on AWS SageMaker/MLflow. Also has applied LLM troubleshooting experience (fine-tuned FLAN-T5 summarization) and partnered with BI teams to run A/B tests and improve retention via feature stores and experimentation.”

“Data engineer focused on production-grade pipelines and data services: ingests millions of records/day into S3, performs SQL/Python quality validation and PySpark/SQL transformations, and serves curated datasets via Athena/Redshift. Has experience hardening external data collection with retries/rate-limit handling and shipping versioned internal data APIs with backward compatibility, monitoring, and CI/CD in early-stage environments.”

Saicharitha Yanamandala

Screened

Mid-Level Software Developer specializing in Java, Cloud, and Microservices

Chicago, IL6y exp

“Backend/Python engineer who owned an end-to-end FastAPI + AWS internal natural-language document Q&A system (Textract extraction, embeddings/vector DB, LLM integration) with strong focus on reliability and latency. Hands-on with Kubernetes + GitOps (Argo CD, Helm, rolling updates/auto-rollback) and built/optimized Kafka streaming pipelines using Prometheus/Grafana. Also supported a zero-downtime on-prem to cloud migration with parallel run and gradual traffic cutover.”

Luis Aragon

Screened

Senior Software Engineer specializing in data infrastructure and distributed systems

San Francisco, CA6y exp

“Software engineer working on agentic AI SMS customer engagement flows and a Customer Data Profile service that unifies journey data across SMS/web/calls while enforcing precise consent management. Has hands-on production operations experience, including recovering a reporting-critical Elasticsearch outage by standing up a new cluster in Kubernetes, restoring from snapshots, and rewinding Kafka consumers to reprocess missed data.”