Vetted Dashboarding Professionals

Pre-screened and vetted.

KB

Senior Salesforce Sales Operations Specialist specializing in CRM administration and CPQ

Pinole, CA14y exp
Miracle PlaysystemsAcademy of Art University
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DC

Executive revenue leader specializing in SaaS, FinTech, and full-funnel growth

Greater Phoenix Area, AZ11y exp
EZ Entity Setup AISalt Lake Community College
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AA

Senior Machine Learning Engineer specializing in document AI and search systems

Clint, TX9y exp
DigisUniversity of Texas at Austin
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KP

Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation

Reston, VA10y exp
HealthTalk A.I.Texas A&M University
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SB

Mid-level Business Operations & Consulting professional specializing in data-driven operating systems

San Francisco, CA7y exp
Connor GroupSanta Clara University
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MR

Senior Digital Advertising Strategist specializing in affiliate and performance marketing

Toronto, Canada23y exp
Lighter MediaYork University
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EH

Senior Systems Integration Engineer specializing in industrial automation and power systems

Orlando, FL13y exp
SimformTexas State University
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CG

Mid-level Full-Stack Engineer specializing in AI products and FinTech

Brooklyn, NY6y exp
AI Portfolio Risk Analysis PlatformNew York City College of Technology
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JR

Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3

Toronto, Canada10y exp
Bittensor
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AT

Director of Engineering specializing in Unity game development and platform integrations

Burlingame, CA9y exp
Burlingame Studios
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Kruti Mehta - Mid-level Software Engineer specializing in backend systems and FinTech analytics in Maryland, USA

Kruti Mehta

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend systems and FinTech analytics

Maryland, USA5y exp
Rose Financial SolutionsGeorge Mason University

Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.

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Dennis Onyukwu - Senior Performance Marketing Manager specializing in SEO, paid media, and lifecycle growth in Caudalie, Asana, Build-a-Bear, Slack, AutoDesk

Dennis Onyukwu

Screened ReferencesModerate rec.

Senior Performance Marketing Manager specializing in SEO, paid media, and lifecycle growth

Caudalie, Asana, Build-a-Bear, Slack, AutoDesk8y exp
Thrive Digital AgencyMichael Okpara University of Agriculture

Creator-first growth and partnerships operator spanning gaming and consumer (skincare) launches, combining creator-led activations with paid amplification across Meta/TikTok/Discord. Strong in performance-based deal structures and rigorous measurement (CAC, ROAS, cohort/LTV) to scale what works and stop what doesn’t; has delivered 3.4x ROAS partnerships and a 31% new-customer lift in a GTM.

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MM

Mid-level Programmatic Account Manager specializing in omnichannel and streaming advertising

Chicago, IL7y exp
Division-DIndiana University College of Arts and Sciences

Performance marketer experienced managing $50K+/month+ budgets across major DSPs and social/video platforms (TTD, DV360, Meta, Amazon, LinkedIn, TikTok, Reddit, CTV/streaming). Highlighted a multi-channel campaign for a Chicago architectural boat tour that used pixel-based purchase tracking to achieve an 8:1 ROAS and drive millions in attributed sales, with a disciplined testing and optimization cadence.

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AR

Ali Rekaby

Screened

Mid-level Product Manager specializing in growth, activation/retention, and operations

Cairo, Egypt7y exp
BostaAin Shams University

Product leader with experience spanning startups and enterprise-scale logistics in MENA, building and managing web/mobile business interfaces including dashboards, admin tools, marketplaces, and B2B quoting systems. Brings a metrics-driven approach to product health and experimentation, plus strong player-informed understanding of core F2P mechanics and live-ops planning.

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NG

Nitu Guwalani

Screened

Mid-level Talent Development Specialist specializing in technical recruiting and HR analytics

Dallas, TX5y exp
KGS Technology GroupCalifornia Baptist University

Recruiting Operations leader with 5+ years managing a small team and owning end-to-end process improvements, including implementing a new ATS that cut time-to-fill by 30%. Built structured, role-specific interview feedback surveys (9 Microsoft Forms) and leveraged Lever reporting to diagnose funnel drop-off and improve candidate experience. Also designed an early-careers hiring roadmap that enabled 30 intern offers in a single quarter through assessments, campus outreach, and faster scheduling.

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Hafiz Muhammad Zeshan - Senior Full-Stack Engineer specializing in MERN, AWS, and scalable SaaS platforms in Victoria, Australia

Senior Full-Stack Engineer specializing in MERN, AWS, and scalable SaaS platforms

Victoria, Australia5y exp
BunnyDoc PTY LTD.University of Engineering and Technology, Lahore

Frontend lead for B2B SaaS products, owning React + TypeScript architecture end-to-end and scaling complex dashboards/workflows with a feature-based structure, shared design system (Tailwind), and strong quality automation. Experienced shipping high-impact features quickly using incremental delivery, feature-flagged rollouts, and performance profiling/optimization to keep production stable as usage grows.

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prashank dubey - Senior Growth & Performance Marketing Manager specializing in digital advertising

Senior Growth & Performance Marketing Manager specializing in digital advertising

9y exp
BrightChampsModi Institute of Technology, Kota

Paid media specialist running multi-platform acquisition for e-commerce, allocating budgets across Meta/Google/TikTok/Snapchat and optimizing toward conversions and ROAS. Emphasizes structured creative experimentation (video engagement + LPCR) and audience segmentation/exclusions to reduce overlap, with a seasonality recovery example in jewelry (post–Mother’s Day retargeting with offers to restore ROI).

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SM

Robotics Software Engineer specializing in ROS 2/DDS infrastructure and fleet observability

Mountain View, CA2y exp
Matic RoboticsUniversity at Buffalo

Robotics software engineer focused on production ROS 2 (Humble) systems for warehouse AMRs, with strong architecture and integration chops. Built a ROS 2 Lifecycle-based hardware abstraction layer to decouple autonomy from sensors (including mid-production LiDAR vendor swap), enabling mixed fleets and cutting bring-up/integration time dramatically. Also develops Nav2 plugins, MPPI tuning workflows, and scalable simulation/CI tooling (Gazebo, Docker, GitHub Actions) for high-throughput testing.

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JC

Jason Chen

Screened

Mid-Level Backend Software Engineer specializing in distributed financial systems

Chicago, IL7y exp
S&S Truck Parts LLCArizona State University

Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.

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Manas Agarwal - Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations in Superior, CO

Manas Agarwal

Screened

Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations

Superior, CO2y exp
VertexOneUniversity of New Haven

Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.

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MATHEUS COSSENZO - Senior Performance Marketing Specialist focused on paid media and growth

Senior Performance Marketing Specialist focused on paid media and growth

8y exp
V4 CompanyPitágoras University

Performance marketer managing high-spend paid media ($60K–$150K/month) across Google Ads, Meta, LinkedIn, and TikTok for enterprise SaaS, focused on revenue growth and qualified lead gen. Emphasizes rigorous testing (single-variable isolation), GA4+CRM-based attribution, and full-funnel budget allocation to drive 4–6x ROAS and restore performance when accounts stall.

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VJ

Mid-level Full-Stack & AI Engineer specializing in LLM applications

6y exp
Our National ConversationFitchburg State University

Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.

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KM

Kevan Mehta

Screened

Junior Backend/Cloud Software Engineer specializing in microservices and cost-optimized AWS systems

Remote, USA2y exp
Benda InfotechUniversity of Texas at Dallas

Built a production anomaly-detection workflow at VDOIT for messy cloud billing/cost data, emphasizing validation, idempotency, retries, and monitoring. Delivered measurable impact by preventing ~$50K/month in overspend and improving response time, and is now applying the same multi-step pipeline approach to LLM-based agent workflows.

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MA

Manish Abburu

Screened

Mid-level Software Engineer specializing in data pipelines, web scraping, and APIs

Texas, USA3y exp
TEKsystemsTrine University

Backend/data engineer who has owned end-to-end production pipelines and data services, processing ~500K–1M records/day from APIs/logs into MySQL and serving via REST APIs. Strong focus on reliability and data quality (ELK + structured logging/monitoring), with measurable improvements (~30% reduction in bad data, ~20% query performance gains) and experience operating external data collection/scraping systems with anti-bot and schema-change resilience.

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