Vetted Dashboard Development Professionals

Pre-screened and vetted.

RT

Senior QA Engineer specializing in mobile, platform, and game QA automation

9y exp
Apple
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CO

Cleopatra Odi

Screened ReferencesStrong rec.

Senior People & Culture / HR Business Partner specializing in employee experience and HRIS

New York, NY9y exp
Center for Family RepresentationJohns Hopkins University

Global people/program leader with experience managing teams across Seoul, Tokyo, and Brazil; addressed language and collaboration barriers via workshops and cross-functional workflow design, driving a major attrition improvement and 90% team approval plus board commendation. Has led edtech product teams (design + development) through a 4-month sprint and partnered with executives on org-wide onboarding redesign using 30-60-90 plans and workflow data.

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Lawrence Haley - Director-level Talent Acquisition & Recruiting Operations leader in New York, NY

Lawrence Haley

Screened ReferencesStrong rec.

Director-level Talent Acquisition & Recruiting Operations leader

New York, NY22y exp
EnTech Engineering, PCFashion Institute of Technology

Recruiting leader with experience managing a small team (3 direct reports) and partnering closely with HRBPs and senior leadership to align hiring with team dynamics and culture. Has driven recruiting process improvements focused on streamlining the lifecycle and reducing time-to-fill, and helped implement a junior executive fast-track program sponsored by the company president.

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Katie Mulryan - Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights in Plano, TX

Katie Mulryan

Screened

Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights

Plano, TX9y exp
JPMorgan ChaseUniversity of Texas at Dallas

Talent/Recruiting Operations analytics leader who has owned TA data/analytics, HR tech, onboarding, and HR product teams, managing globally distributed teams up to 13. Notably standardized hiring target-setting across 800+ recruiters using data-driven mathematical models, improving fairness and delivering a 20% headcount save. Experienced in major TA tech transitions (Avature to PhenomPeople) with ownership of data quality, reporting, KPI measurement, and workflow design.

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Daniel Jeong - Junior Full-Stack Engineer specializing in real-time platforms and AI tools in Cambridge, MA

Daniel Jeong

Screened

Junior Full-Stack Engineer specializing in real-time platforms and AI tools

Cambridge, MA3y exp
DraperColgate University

Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.

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JR

Jugal Rayala

Screened

Mid-level Full-Stack Developer specializing in AI-powered cloud applications

Remote, USA5y exp
MicrosoftWebster University

Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.

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DY

David Yoo

Screened

Junior AI Solutions Engineer specializing in enterprise LLM systems

Frisco, TX2y exp
WorldLink USCornell University

Recent Cornell graduate with roughly 18 months of unusually high-impact Solutions Engineering experience, already owning enterprise AI engagements for Citi and Samsung at WorldLink US. Stands out for combining technical pre-sales with hands-on prototyping and delivery, including local on-device AI for Samsung QA and helping take an AI security product from architecture to first $100K close.

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AS

Abraham Song

Screened

Director-level Programmatic & Ad Operations leader specializing in performance and commerce media

Decatur, GA30y exp
Mars United CommerceEmory University

Performance marketer with hands-on ownership of large Coca-Cola programmatic/retail media spend across The Trade Desk, Amazon DSP, and Walmart DSP, focused on ROAS and sales outcomes. Experienced in validating incrementality and attribution by benchmarking retailer first-party measurement against third-party partners (Foursquare/InMarket), and has delivered measurable lifts (e.g., 2x ROAS on Core Power; 1.5x–2x sales/ROAS recovery on Fairlife after audience + creative/video refresh).

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VM

Senior Forward Deployed Systems Engineering Leader specializing in AI-native deployments

Oakland, California9y exp
Longshot Space TechnologiesSan Francisco State University

Built and productionized an LLM-enabled system visualization web app at Longshot, designed modularly to pivot quickly to a mobile-friendly interface as customer needs changed. Experienced in diagnosing LLM/agentic workflow failures using observability, deterministic replay, and fault-tree root cause analysis. Also delivers developer-focused demos and trainings (including robotics deployment/mapping at Meta) and partners with sales as a technical closer, including for government clients by demonstrating failure modes and system modularity.

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JK

Jasveen Kaur

Screened

Senior Technical Program Manager specializing in AI automation and analytics

Santa Clara, CA6y exp
IntelSan José State University

Recruiting/Talent Operations leader with deep Lever ATS and analytics experience who led a high-impact Grace Hopper Conference program, creating attribution tracking via unique links and coordinating IT/engineering/TA to drive thousands of applicants and improved operational outcomes. Redesigned recruiter–hiring manager intake and alignment workflows with automation, improving time-to-fill by ~20%, and led compliance initiatives including pay transparency and ADA-accessible job descriptions using CommonLook/PAC in partnership with Legal and Compensation.

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VN

Mid-level Strategy & Operations professional specializing in Enterprise SaaS and FinTech

Columbus, OH4y exp
VertivDuke University

Chief of Staff / cross-functional operator with experience at HighRadius and Darwinbox, building executive operating rhythms (KPI dashboards, pipeline reviews, decision logs, intake/triage) and driving multi-country SE Asia expansion. Uses data-driven prioritization and unit economics (CAC, sales velocity) to align founders/CxOs on tough trade-offs, and has supported a GenAI product launch while managing enterprise escalations without derailing strategic timelines.

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MK

Mid-level Data Analyst specializing in retention, churn, and customer analytics

Chicago, IL5y exp
OptumNorthern Illinois University

Analytics professional with experience across healthcare and fintech, including building SQL/Python data pipelines at Optum and owning a fraud detection initiative at Razorpay. Stands out for combining messy-data cleanup, reproducible analytics workflows, and stakeholder-driven metric design, with a reported 25% improvement in fraud detection while keeping false positives under control.

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Vivian Lazarevic - Senior Project Manager specializing in healthcare, biotech, and financial services in Poughkeepsie, NY

Senior Project Manager specializing in healthcare, biotech, and financial services

Poughkeepsie, NY14y exp
Valley Surge PartnersBaruch College

Project/program management leader with cross-industry experience spanning private equity, biotech, healthcare, insurance, and consulting. Has evolved from implementation support at KKR into owning enterprise governance, IPO-readiness workstreams, and multi-project delivery in highly regulated environments, with exposure to initiatives tied to more than $650M in cumulative budgets.

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BK

Bryant Kou

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Cupertino, CA13y exp
NexysGeorgia Tech

Full-stack/product-minded engineer with recent experience in both an early-stage AI startup and a B2B payments marketplace. Stands out for building a pgvector-based semantic cache that reduced LLM latency by 35% and for shipping audit-heavy payment infrastructure with Stripe/Plaid, idempotent webhook handling, and major reconciliation query optimizations.

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Aigo Madakimova - Senior Data Analyst specializing in audit analytics, automation, and financial data platforms in Malvern, PA

Senior Data Analyst specializing in audit analytics, automation, and financial data platforms

Malvern, PA6y exp
VanguardNYU

Full-stack engineer with strong Next.js App Router + TypeScript experience who built and owned a production internal analytics dashboard end-to-end, including server-component data fetching, route handlers for secure proxying, and post-launch monitoring/caching fixes. Also designed Postgres data models and performance-tuned analytics queries, and built reliable BullMQ/Redis-based order-fulfillment workflows with idempotency, retries, and compensating refunds—comfortable operating with high ownership in early-stage teams.

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NC

Senior Full-Stack Engineer specializing in AI and cloud-native applications

Lakeland, FL8y exp
Revscale AIUC Irvine

Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.

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SM

Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and cloud microservices

4y exp
Capital OneCalifornia State University, Long Beach

Frontend-focused JavaScript engineer who built Collabsync with real-time chat and file sharing using Socket.io, emphasizing reusable components, clear event contracts, and performance (minimizing React re-renders). Has experience at PwC building internal React/Angular dashboards and documenting insurance APIs, plus a contract role at Capital One delivering in fast-changing, loosely defined environments.

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Johanna Griffin - Senior Technical Support Engineer specializing in DevOps and CI/CD in Ukiah, CA

Senior Technical Support Engineer specializing in DevOps and CI/CD

Ukiah, CA10y exp
CircleCIUC Davis

DevOps Customer Engineer (CircleCI) with hands-on experience supporting enterprise customers through a major security incident (token revocation/secret rotation) and advising on secure CI/CD practices. Experienced in integrating security tooling into pipelines (e.g., Snyk via CircleCI Orbs), troubleshooting complex CircleCI Server/Kubernetes-like deployments using logs/metrics/traces, and running structured multi-customer onboardings tracked in Jira/Salesforce.

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NP

Mid-level Data Analyst specializing in SaaS product and business analytics

USA4y exp
AtlassianAuburn University at Montgomery

Analytics professional with hands-on experience building SQL and Python workflows for support operations and product reporting. They stand out for turning messy CRM, ticket, and activity data into validated, performance-optimized reporting tables and dashboards, while partnering closely with stakeholders to standardize KPI definitions around SLA performance and retention.

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NZ

Nate Zaidi

Screened

Senior Full-Stack Engineer specializing in Python, AI/ML, and cloud applications

Dumfries, VA10y exp
CodingQnaVirginia Commonwealth University

Backend/data engineer with hands-on production experience across FastAPI/PostgreSQL APIs and AWS (Lambda, ECS) delivered via Terraform + GitHub Actions. Built Glue-based ETL pipelines into Redshift with schema evolution and data quality checks, modernized legacy reporting into Python microservices, and has demonstrated measurable SQL performance wins (multi-second query reduced to sub-300ms).

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SL

Intern Software Engineer specializing in full-stack and distributed systems

Shanghai, China0y exp
SAPColumbia University
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Deenanadh Polavarapu - Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines in Herndon, VA

Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines

Herndon, VA3y exp
EpsilonTrine University
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Matthew Ilejay - Entry-Level Software Engineer specializing in QA automation and full-stack web development in Los Angeles, CA

Entry-Level Software Engineer specializing in QA automation and full-stack web development

Los Angeles, CA1y exp
ArupOregon State University
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Soumith Kondubhotla - Intern Software Engineer specializing in cloud infrastructure and distributed systems in Seattle, Washington

Intern Software Engineer specializing in cloud infrastructure and distributed systems

Seattle, Washington1y exp
Amazon Web ServicesUniversity of Washington Tacoma
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