Vetted Dashboard Development Professionals

“Growth marketing and marketing ops leader who joined a PE-owned SaaS business after $150M in annual sales and built the demand gen function from the ground up (roles, processes, tech stack, and reporting). Implemented SiriusDecisions-based lead processes, Salesforce-driven lead scoring/routing, and multi-touch attribution, then enabled sales via Challenger training—driving $231M in pipeline and improving marketing ROI to $6 pipeline per $1 spent.”

Alex Kittredge

Screened ReferencesStrong rec.

Executive People Strategy & Transformation Leader specializing in workforce planning and operating models

Brooklyn, NY8y exp

“Senior Program Manager / HR Chief of Staff (Global Industrial) specializing in cross-functional risk remediation, HR systems implementations, and M&A compliance. Delivered measurable outcomes including closing 18 payroll audit findings in 16 weeks, rolling out SAP SuccessFactors performance management to 2,000+ employees with major adoption gains, and remediating 600 I-9s in 6 weeks to avoid ~$3M in exposure; experienced operating with high confidentiality across large-scale M&A.”

“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”

Chavez Yi Wei Cheong

Screened

Mid-level analyst and software engineer specializing in AI, distributed systems, and product delivery

San Francisco, CA5y exp

“Engineer with end-to-end shipping experience spanning large-scale infrastructure at Meta and scrappy startup automation work. Built a C++ streaming platform for Facebook Marketplace with canary and chaos testing, and also created Selenium-based scraping and GTM automation workflows under ambiguous, real-world conditions.”

Thazim Banu Shaffee

Screened ReferencesStrong rec.

Engineering Manager specializing in payments, risk, and high-scale distributed systems

San Jose, CA14y exp

“Engineering leader/player-coach on a risk core transaction platform (payments/branded checkout) who led major migrations from a monolithic stack to microservices, including API contract redesign and performance improvements (reported ~500ms latency reduction). Experienced running high-stakes production incidents (upgrade-related outage/degradation) end-to-end with RCA and rollout-process changes, and has accelerated delivery via documentation/tooling (audit sign-off cycle reduced from ~3 sprints to ~1).”

“Intel veteran who applied multiple linear regression and time-series drift analysis to semiconductor lithography overlay/metrology data, feeding model outputs into automated process control. Comfortable working across Python, VBA, and JMP/JSL, with a pragmatic approach to validation (RMSE + trend visualization) and data quality via close coordination with measurement/metrology teams.”

Akshitha Singireddy

Screened

Junior Software Engineer specializing in data engineering and computer vision

Bellevue, WA1y exp

“Former Amazon intern who owned an end-to-end computer vision system to detect package anomalies in fulfillment centers, from data collection/labeling to production deployment on AWS (EC2/S3) with a Streamlit live-monitoring dashboard. Also has ML-in-production experience deploying and updating a recommendation model on Kubernetes (Minikube) with CI/CD via GitHub Actions, plus prior SDE experience with Jenkins-based pipelines and on-prem to AWS migration work using Glue.”

“Performance marketing analyst at Meta supporting Amazon who identified Amazon app users as a high-value segment (2x ROAS), built and validated a retargeting audience via rigorous A/B testing, and helped drive a global rollout across thousands of campaigns resulting in ~$80M annual revenue. Strong in experiment design, SQL-driven insight generation, and translating performance learnings into cross-platform creative and catalog strategy.”

“ML/NLP practitioner and technical founder who built an AUP risk-scoring model at Bill.com using TF-IDF + SVD features with XGBoost, and previously created automated data-quality guardrails for a Global Equity Risk stacked ML model at Thomson Reuters. Recently built a RAG-based chatbot for PaymentJock’s Home Affordability Probability product using embeddings and a local vector database (FAISS/Chroma), improving answer quality through chunking rather than expensive fine-tuning.”

Dan Olson

Screened

Director-level Product Operations & Program Management leader in consumer electronics

San Jose, CA27y exp

“Operations leader with Apple and Roku experience who owned founder-level, cross-functional initiatives including Roku’s Brazil market entry (regulatory, tax/entity setup, manufacturing/logistics, and launch metrics) with direct CEO oversight. Built Roku’s International Business Operations function from zero—standardizing OKRs, dashboards, and country-level P&Ls—and influenced major strategic decisions like exiting a ~$10.5M-loss UK channel business and restructuring Mexico ads go-to-market via partnership.”

“Fintech and AI product engineer who has owned major production rollouts, including Lending Club's banking-arm launch, and has since built LLM-powered decision systems for finance and climate use cases. Particularly strong in combining stakeholder management with pragmatic architecture choices like observability, deterministic pipeline design, RAG, and document-to-structured-data workflows.”

“BCG consultant with repeated "founder-level" ownership of large, cross-functional initiatives, including a financial services data management transformation delivering +30% client satisfaction and -60% issue resolution time. Also led portfolio strategy for a $160B biopharma client, building board-level models and aligning stakeholders across five segments to drive a 23% price increase and improved post-merger cost structure.”

“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”

“Robotics engineer who helped bootstrap Meta’s humanoid robotics effort, building simulation training and deployment infrastructure for vision-language-action (VLA) models. Evaluated multiple physics backends (Bullet, MuJoCo, Isaac, internal) to minimize sim-to-real gap and addressed control-loop frequency mismatches via sequence optimization/MPC-like approaches and trajectory-output modifications. Published research that contributed a new addition to ROS 2 and has built ROS2 node stacks spanning control, perception, teleop, tactile sensing, and imaging.”

“Data engineer focused on building and operating reliable Airflow-orchestrated pipelines into BigQuery, including daily billing ingestion (~1GB/day) and ad platform (Facebook/LinkedIn) data collection. Implemented end-to-end data quality checks plus org-wide incident response automation integrating PagerDuty, Slack, and Jira, and has experience executing large backfills (4–5TB) via time-window batching.”