Vetted Data Visualization Professionals

“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”

“Performance marketer managing a high-spend B2B SaaS account ($70K–$100K/month) across Meta, LinkedIn, and Google Ads with a full-funnel approach focused on demo/trial quality tied to revenue. Known for disciplined single-variable testing and signal-quality-based budget allocation, delivering a 28% CPA reduction while scaling spend and maintaining conversion efficiency.”

“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”

“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”

“Product manager from edTech focused on AI-driven, B2B HR training simulations (live work-scenario platforms). Demonstrated measurable funnel improvement by diagnosing a registration drop-off issue, coordinating a cross-functional fix (including Android), and delivering ahead of schedule, resulting in a 20% increase in sign-ons. Has shipped/managed products on web and mobile.”

“Serial entrepreneur with 30+ years of professional software engineering experience who co-founded Food Truck Stars, initially a food-truck search engine and later pivoted into a catering marketplace to overcome adoption barriers. Validated the model by prototyping at car enthusiast events across the U.S. and turning a profit, using hands-on customer discovery with low-tech, time-constrained operators.”

“Built and owned an end-to-end Python/Postgres job-tracker backend that scrapes job postings (including LinkedIn) using Selenium-driven real-browser automation, with deduplication and data-quality filtering. Has practical experience migrating deployments from DigitalOcean to Vercel and emphasizes documentation, roadmapping, and testing as part of an iterative delivery cycle.”

“Senior Designer at DCI with high-profile client experience (Verizon, DoorDash, BlackRock), specializing in high-polish brand and marketing design. Has led creative direction for major editorial/report work (Verizon DEIB Annual Report) and a 100% creative statewide rebrand pitch for OERB supporting a $4M legislative/stakeholder effort, and builds scalable Figma design systems for high-volume output.”

“Digital/performance marketer with 3+ years of experience running paid social and search, including managing a $50K/month budget across Meta and Google Ads for lead gen and sales. Emphasizes full-funnel channel allocation (TikTok/Meta for discovery, Google for intent), structured testing using CPA/CTR/CVR/ROAS, and pragmatic optimization tactics like creative refreshes and audience expansion to counter fatigue and saturation.”

“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.”

“Frontend engineer who has led end-to-end React + TypeScript initiatives, including a shared frontend module used across product lines/regions and an inventory discovery experience for large datasets. Strong in scalable architecture (feature-based, configuration-driven, role-aware components), design systems with Storybook, and performance/quality practices (profiling, CI/CD, automated testing, feature-flagged rollouts). Reported ~30% reduction in duplicate code after refactoring an existing React codebase.”

“Built and deployed a production LLM-assisted recommendation and insights platform that unifies structured, semi-structured, and unstructured data via a modular ingestion pipeline, canonical schemas, embeddings, and late-fusion modeling. Experienced in operationalizing ML/LLM systems with Airflow and Kubernetes (Dockerized services, autoscaling, rolling updates) and emphasizes reliability through layered testing, guardrails, monitoring, and A/B experimentation while partnering closely with non-technical stakeholders.”

“Frontend engineer who led Curion’s end-to-end UI architecture for a real-time meetings/elections product, emphasizing scalability, testing, and CI/CD. Has built complex React+TypeScript dashboards (Redux) and improved a Flutter codebase with DDD and dependency injection, enabling smoother third-party swaps like Zoom to LiveKit and rapid delivery of Brazil-specific payment methods (PIX/Boleto).”

“CRM/lifecycle marketer with demonstrated success driving webinar acquisition and conversion for a business compliance campaign (260+ registrations, 180 attendees, 100+ service conversions). Uses segmentation, A/B testing, and metric-driven pivots (10–25% lift in opens/clicks) and has experience coordinating cross-functionally on large in-person investment events.”

“Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).”

“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”

“Enterprise Customer Success/implementation leader in fintech (Optimus) specializing in payment reconciliation platforms, complex integrations (API/SFTP), and data normalization across processors/banks/ERPs. Demonstrated measurable impact (60–70% reduction in manual reconciliation) and strong cross-functional/product influence, including roadmap improvements for exception management and successful land-and-expand into fee management.”