Vetted Data Visualization Professionals

Kruti Mehta

Screened ReferencesStrong rec.

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

Maryland, USA5y exp

“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.”

“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.”

Ose Okpamen

Screened ReferencesStrong rec.

Mid-level Product Manager specializing in UX, growth, and data-driven product strategy

London, UK12y exp

“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.”

“Built and shipped a production Python-based agentic RAG document retrieval system over 80K records using FastAPI, OCR, vector search, and AWS infrastructure, with a strong emphasis on reliability, testing, and observability. Stands out for treating AI failures like production incidents—turning hallucinations, retrieval misses, and OCR issues into regression tests—and for quantifiably reducing document lookup time from about 12 minutes to under 90 seconds.”

“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.”

“Analytics professional with operations-grounded experience at WWEX Group who built a Snowflake/dbt fleet-efficiency data model combining telematics, ERP, and driver logs into near real-time executive reporting. They pair strong SQL/Python workflow automation with practical stakeholder enablement, and cite measurable impact including cutting reporting time from 72 hours to 15 minutes and helping drive $450K in quarterly fuel savings.”

Mudit Devenkumar Choksi

Screened ReferencesModerate rec.

Junior Full-Stack Software Engineer specializing in web apps, automation, and cloud systems

Louisville, KY2y exp

“Engineer with hands-on experience owning end-to-end industrial automation deployments and real-time data systems. Most notably led a multi-million dollar warehouse automation implementation that reduced manual intervention by 25%, while also building streaming text analytics pipelines and strengthening production reliability through robust observability and pipeline controls.”

“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.”

“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.”

“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.”

“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.”

“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).”

“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.”

Muntazir Mehdi

Screened

Junior Digital Marketing Coordinator specializing in Google Ads and conversion tracking

Skardu, Pakistan3y exp

“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.”

Pari Ramamoorthy

Screened

Senior Frontend Developer specializing in React, accessibility, and enterprise web apps

Toronto, ON12y exp

“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.”

“Independent builder of production-grade systems: shipped an end-to-end URL shortener with JWT auth, Redis rate limiting/caching, Postgres, Docker, and real-time analytics, and separately architected a Redis-backed distributed task queue handling 1000+ tasks/min. Demonstrates strong distributed-systems instincts (atomicity, retries/DLQ, idempotency, heartbeats) plus a focus on maintainable code and self-documenting APIs (FastAPI/OpenAPI, versioned routes).”

“Analytics professional with experience across Dreamline AI, Ultron Technologies, and Infolabz, building SQL/Python data pipelines and BI dashboards for incentive, FMCG, and retail use cases. Stands out for turning messy multi-source data into trusted reporting, automating recurring analytics, and tying dashboard adoption to measurable business outcomes like 50% faster reporting and 30% ROI improvement.”

“CRM/lifecycle marketing analyst with experience at Indifoot and CoachTube, focused on using SQL, Tableau, and Excel to analyze user journeys, identify funnel drop-offs, and improve retention. Stands out for translating behavioral insights into campaign targeting and product/UI recommendations that contributed to a 15% retention lift, despite not yet having direct hands-on Braze or formal A/B testing experience.”

“Built Python-based data workflow integrations for a Huntsman Cancer Institute research project, focusing on reliable upload, validation, processing, and retrieval of messy research data. Demonstrates strong practical instincts around automation hardening, observability, and translating ambiguous manual processes into structured workflows, including Selenium automation when APIs were unavailable.”