Vetted Data Visualization Professionals

Pre-screened and vetted.

Tolga Onuk - Executive product and growth leader specializing in SaaS, mobility, and consumer tech in Houston, TX

Tolga Onuk

Screened

Executive product and growth leader specializing in SaaS, mobility, and consumer tech

Houston, TX18y exp
Echo GuardianBaşkent University

Product leader, designer, and founder who says he has built more than a dozen platforms from scratch, including a rapid transformation of Envoy from a basic EV rental app into an enterprise multi-company fleet management and EV charging platform before its acquisition. He combines hands-on design, cross-functional team leadership, and executive stakeholder management, and is now advising an AI-driven social media moderation and brand reputation platform.

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DT

Mid-level Software Engineer specializing in AI, backend systems, and FinTech

Newark, NJ4y exp
Rutgers Business SchoolRutgers University

Full-stack engineer with hands-on ownership of a production expense management platform built on Next.js, NestJS, PostgreSQL, and MongoDB. Stands out for solving real production scale issues—optimizing 2M+ record query performance, redesigning cross-database sync with an outbox/event-driven approach, and cutting API latency from 2-3 seconds to under 300 ms.

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SK

Mid-level Software Engineer specializing in FinTech and full-stack development

Atlanta, GA4y exp
Georgia State UniversityGeorgia State University

Early-career backend/data engineer with experience spanning university operations and banking systems. They’ve owned a Python-based automation that replaced manual alumni data maintenance at Georgia State University, cutting effort by 85% and centralizing 280+ profiles, and also worked on Java/Spring Boot services for legacy banking reconciliation and reusable multi-workflow APIs.

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MG

mike gurtek

Screened

Senior Creative Marketing Designer specializing in motion design and performance marketing

Minneapolis, MN21y exp
InovalonSt. Cloud State University

Senior motion designer/creative producer with 15 years of high-end motion, video, and photography experience, including 9 years at Inovalon building enterprise brand systems. Known for translating complex healthcare journeys into polished explainer content and for scalable, modular frameworks that empower large teams (300+ employees). Also integrates generative AI (Weavy + Figma) trained on brand guidelines and original photography to maintain brand consistency at high output volume.

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TS

Teja Sankara

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native SaaS

4y exp
Elevance HealthUniversity of Texas at Arlington

Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.

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CS

Senior Full-Stack Developer specializing in SaaS web applications

12y exp
Coconut SoftwareVanArts (Vancouver Institute of Media Arts)

Frontend engineer/product lead with experience building a Tableau-like data visualization dashboard at StradigiAI, including a scalable SQL-like query/filter approach for high-volume data. At LogMeIn/GoTo, migrated a TypeScript React product from Redux to React Query with shared state abstractions across web, Electron, and React Native, and helped leverage a design system to support a rapid company rebrand.

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SK

Intern Software Engineer specializing in backend systems and Generative AI

Colorado, USA2y exp
Sports MediaIllinois Institute of Technology

Built and deployed a scalable, production-ready LLM knowledge assistant using a RAG architecture (LangChain + vector store/FAISS) to replace keyword search for internal documents. Demonstrates hands-on expertise in hallucination reduction and retrieval quality improvements through semantic chunking, similarity tuning, prompt design, and human-in-the-loop validation, plus strong stakeholder communication via demos and visual explanations.

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VP

Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems

Houston, TX5y exp
Asuitech SolutionsUniversity of Houston

Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.

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VP

Vipul Patel

Screened

Mid-level Robotics Engineer specializing in ROS2 autonomy, perception, and manipulation

Michigan, USA2y exp
AgroPixel AIUniversity of Maryland, College Park

Deployment engineer at a robotics startup who owned end-to-end field deployments in greenhouse environments, including integrating humanoid robots (XArm 6), tuning perception stacks for real-world lighting shifts, and coordinating rapid fixes with hardware/software teams. Experienced debugging complex robotics integrations (LiDAR + NVIDIA Jetson + ROS2 + networking) and hardening solutions by automating configuration at boot, while also working directly with customers and training operators for ongoing support.

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Likhith Kumar Yaramala - Junior Backend/Cloud Software Engineer specializing in microservices and DevOps in India

Junior Backend/Cloud Software Engineer specializing in microservices and DevOps

India2y exp
Brillquest TechnologiesFlorida State University

Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.

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John Kalyango - Senior Full-Stack Software Engineer specializing in geospatial and mobile data collection in Germany

John Kalyango

Screened

Senior Full-Stack Software Engineer specializing in geospatial and mobile data collection

Germany9y exp
TREEOMakerere University

Frontend engineer who led end-to-end development of a React-based carbon credits data collection and analysis tool, focusing on scalable architecture and performance (code splitting, SWR caching, memoization, Lighthouse monitoring). Experienced building complex route-driven TypeScript wizards with Redux/Rematch state persistence, and refactoring legacy monolithic UI into reusable, tested, documented components while shipping deadline-driven features using feature flags and tight QA collaboration.

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Jaykumar Kotiya - Mid-level Machine Learning & AI Engineer specializing in Generative AI, NLP, and MLOps in Boston, MA

Mid-level Machine Learning & AI Engineer specializing in Generative AI, NLP, and MLOps

Boston, MA6y exp
CitiusTechNortheastern University

Built and deployed production LLM systems for summarizing sensitive legal and financial documents, emphasizing GDPR-aligned privacy controls and scalable hybrid cloud architecture. Experienced with Kubernetes/Airflow orchestration and rigorous testing/monitoring practices, and has delivered measurable business impact (18% conversion lift) by translating AI outputs for non-technical marketing stakeholders.

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Rakshith Baskar - Junior Robotics Engineer specializing in ROS2 perception and multi-sensor calibration in Mesa, AZ

Junior Robotics Engineer specializing in ROS2 perception and multi-sensor calibration

Mesa, AZ1y exp
Arizona State UniversityArizona State University

Entry-level robotics software engineer/team lead with hands-on experience spanning multi-robot UAV simulation (Gazebo + PX4 SITL) and autonomous vehicle stack integration (ROS2 Humble + Autoware Universe). Has tackled real-time perception optimization (OpenCV + custom deep learning) and built robust cross-protocol communication interfaces to connect ROS2 systems with embedded ESP32 devices.

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Ashritha G - Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices in USA

Ashritha G

Screened

Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices

USA3y exp
Outlier AIUniversity of Massachusetts Boston

Software engineer with enterprise, customer-facing delivery experience across Outlier AI and Wipro—builds and productionizes workflow and integration solutions with a strong focus on real-world performance and reliability. Delivered a Firestore/Redis-backed real-time pipeline that cut page load times by 20% and held consistent performance across 10,000+ sessions, and has hands-on production incident experience stabilizing high-traffic microservices via caching, indexing, and safe canary deployments.

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Pranav Zagade - Junior Software Engineer specializing in full-stack and AI systems in Arizona, USA

Pranav Zagade

Screened

Junior Software Engineer specializing in full-stack and AI systems

Arizona, USA3y exp
Community Dreams FoundationArizona State University

Built and shipped an LLM-powered support agent for Community Dreams Foundation that automated intake and Jira ticket creation using RAG, structured outputs, and strong production guardrails. Demonstrated practical production AI experience with 92% routing accuracy, 98% uptime, and a 31% improvement in first-response accuracy, plus hands-on work in observability, evals, idempotency, and failure handling.

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Sowmya Mogireddy - Mid-level Data Analyst specializing in analytics, BI, and predictive modeling in CT, USA

Mid-level Data Analyst specializing in analytics, BI, and predictive modeling

CT, USA6y exp
Travelish IncSacred Heart University

Analytics professional with cross-domain experience spanning healthcare claims, logistics optimization, and customer booking funnels. They combine strong SQL/Python execution with stakeholder alignment and operational adoption, and can point to measurable impact including 18% healthcare cost optimization and 24% logistics savings.

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HS

Harsh Shah

Screened

Intern-level product and data analyst specializing in analytics and automation

Ahmedabad, India1y exp
Texas A&M UniversityTexas A&M University

Analytics candidate who has built full-stack data products end to end: from cleaning 1M+ retail transactions in MySQL to Python-based market basket analysis, churn segmentation, and Streamlit dashboards with Gemini-powered business recommendations. Also built a reproducible predictive modeling workflow for concrete strength forecasting, showing a blend of SQL, machine learning, and stakeholder-friendly delivery.

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keerthana bhukya - Junior Software Engineer specializing in AI/ML and cybersecurity in Stockton, CA

Junior Software Engineer specializing in AI/ML and cybersecurity

Stockton, CA2y exp
University of the PacificUniversity of the Pacific

Salesforce-focused engineer with hands-on depth across Sales Cloud, Service Cloud, Apex, LWC, and Aura. Stands out for owning end-to-end automation features, making thoughtful async architecture decisions to balance performance and reliability, and designing responsive Lightning interfaces that hold up under large data volumes.

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Ganapathi Deivanayagam - Intern Full-Stack Developer specializing in web applications and data pipelines in Milledgeville, GA

Intern Full-Stack Developer specializing in web applications and data pipelines

Milledgeville, GA0y exp
Rural Studies Institute, GCSUUniversity of Georgia

New-grad full-stack developer with strong self-directed project work spanning collaborative web apps, AI-assisted CRM features, and LLM-supported thesis development. Particularly notable for combining modern web tooling, real-time collaboration, and pragmatic AI usage while also showing initiative in ambiguous research environments by automating manual ETL work with Python and OCR.

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Shivashankar Galla - Senior Technical Lead specializing in front-end architecture and micro frontends in Fremont, CA

Senior Technical Lead specializing in front-end architecture and micro frontends

Fremont, CA12y exp
NisumJawaharlal Nehru Technological University, Hyderabad

Frontend-leaning product engineer who describes leading the end-to-end architecture of Albertsons' partner portal, consolidating fragmented vendor and merchant workflows into a single micro-frontend platform. He highlights significant business impact through a reported $20M/year savings, plus hands-on ownership across observability dashboards, BFF/GraphQL API design, and cross-functional architecture decisions.

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Yashaswini Mohan - Mid-level Product Manager and Software Engineer specializing in data-driven product execution in San Jose, CA

Mid-level Product Manager and Software Engineer specializing in data-driven product execution

San Jose, CA5y exp
AI Academy, SJSUSan Jose State University

Product professional with 4 years spanning software engineering, program management, and product execution, who led a 0-to-1 AI education product focused on student engagement. Drove AI Academy from ambiguous vision to MVP across 6 sprints, aligning faculty, students, and engineers and reporting 70% user participation.

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CG

Christy Gee

Screened

Mid-level Digital Marketing Associate specializing in cross-channel campaigns and brand design

New York, NY5y exp
RaistoneUniversity of Massachusetts Lowell

Marketing designer with Raistone experience producing high-polish sales enablement and thought-leadership assets, including a co-branded whitepaper with Mastercard. Known for simplifying complex financial content into clear, premium creative and for building modular frameworks and CMS-based systems that scale across websites, landing pages, and large asset libraries in a fully remote workflow.

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DV

Mid-Level Growth Marketer specializing in paid media, demand generation, and marketing analytics

New York, NY5y exp
Justin AlexanderPace University

Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.

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