Vetted Data Visualization Professionals

Simon Sikora

Screened ReferencesStrong rec.

Director-level XR/Unity Application Development Manager specializing in training simulators

Warsaw, Poland13y exp

“Unity XR/VR developer with extensive Meta Quest experience who shipped a high-performance Quest 2 training simulation for a major pharmaceutical manufacturer, emphasizing 90 FPS optimization and highly accessible, low-UI interaction design validated by elderly user testing. Built a largely solo VR game end-to-end (assets, UI, audio, optimization, input) and standardized on OpenXR with custom solutions to stay future-proof amid changing VR SDKs; has also served as lead developer and service delivery manager.”

Manyuvraj Sandhu

Screened

Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments

Calgary, AB4y exp

“Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).”

“Built and deployed an Azure-based, fine-tuned CLIP visual retrieval system at Staples for a ~300k-item product catalog, improving edge-case recall by 12% by engineering a custom delta-similarity/dynamic-margin loss. Also has robotics experience using ROS2 for sensor/compute orchestration, including GPS-time-synchronized sensor triggering for robot swarms and latency-bounded optical-flow benchmarking for edge deployment.”

Vaishnavi Kashyap

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics

1y exp

“Full-stack/backend engineer who owned a production digital assembly planning platform at Saint Gobain end-to-end (React/Node/Postgres), maintaining 99.9% uptime across 5 factory sites and driving a reported 90% improvement in factory-floor coordination. Also built and operated BigQuery + Vertex AI (ARIMA) forecasting/data pipelines processing 1M+ datapoints daily, with strong emphasis on idempotency and data-quality validation to prevent incorrect outputs.”

“Merchandising/sourcing professional from World Market with deep experience building and optimizing home/fashion partnerships end-to-end—using tariff-driven margin pressure to shift sourcing outside China while maintaining design elevation. Highly metrics-driven across OTB, SKU productivity, margin/IMU, full-price sell-through, attachment rate, and digital conversion, and comfortable managing 50+ vendor negotiations simultaneously.”

“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”

Emilie DeMun

Screened ReferencesStrong rec.

Senior Brand Designer specializing in multi-channel campaigns and visual identity systems

Seattle, WA12y exp

“Marketing creative/designer who helped lead the PopSockets brand refresh and owned the digital campaign rollout by translating new brand guidelines into scalable templates and a campaign guideline book. Built a collaborative Figma template system (design libraries + stakeholder feedback boards) to support high-volume output without quality drift, and uses Claude for structured ideation on partnership campaigns like Electric Picks x PopSockets.”

Manasa Pantra

Screened ReferencesStrong rec.

Junior Software Engineer specializing in AI, LLM systems, and full-stack development

Stony Brook, NY2y exp

“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”

“LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).”

“Backend engineer at Cerebrone.ai building cloud-native Flask microservices for an AI-driven automation platform on GCP (Cloud Run/App Engine), including dedicated inference services integrating OpenAI and internal ML pipelines. Demonstrated strong performance and scalability wins across Postgres/SQLAlchemy optimization, multi-tenant (healthcare/HIPAA-grade) data isolation, and high-throughput background processing with Celery/Redis/RabbitMQ, with multiple quantified latency/CPU/throughput improvements.”

“Built and deployed a production RAG-based document Q&A system on Azure OpenAI to help business teams search thousands of PDFs/Word files, using Qdrant vector search, MongoDB, and a Flask API. Demonstrates strong production engineering (streaming large-file ingestion, parallel preprocessing, monitoring/retries) plus systematic prompt/embedding/chunking experimentation to improve accuracy and reduce hallucinations, and has hands-on orchestration experience with ADF/Airflow/Databricks/Synapse.”

“ML/NLP engineer who built a RAG-based technical assistant for Caterpillar field engineers, transforming PDF keyword search into intent-based semantic retrieval across manuals, logs, sensor reports, and technician notes. Strong in productionizing data/ML systems (Airflow, PySpark) with rigorous preprocessing, entity resolution, and evaluation—delivering measurable gains in accuracy, relevance, and duplicate reduction.”

“Former Division I scholarship athlete and professional player who transitioned into professional coaching in Europe, including coaching at Triglav across U12–U18 and the pro team, plus the U20 Women’s Slovenian National Team. Experienced in identifying and recruiting talent via film, in-person scouting, and social media, and leverages connections with major university coaching staffs to track the best recruiting tournaments/camps.”

“Customer-facing implementation/security-focused professional with experience at Freshworks and IMImobile (Cisco), advising enterprise customers on app security for CRM/ITSM and sensitive/PII workflows. Has led threat-model-driven remediation for API/RBAC/token risks and troubleshot complex cloud integration incidents (token expiry + load balancer misrouting) using logs/metrics/tracing, escalating with clear technical reports to accelerate engineering fixes.”

“Founder of an LLC operating as a consulting firm providing fractional CTO services to startups, giving them parallel exposure to multiple early-stage companies. Has direct experience with MVP development, building org structures from scratch, and supporting early fundraising, and is exploring a pivot from consulting into a scalable product business while staying engaged with the VC/accelerator ecosystem.”

“Application Engineer supporting customers in a financial trading context, experienced in coordinating urgent patch upgrades and stakeholder communications to minimize downtime. Has hands-on production incident response experience troubleshooting a critical dashboard outage caused by a bad SQL execution plan, escalating with DBAs and deploying a fast fix, then documenting full RCA via problem tickets.”

“Data engineer with hands-on experience migrating a legacy/mainframe-fed loader onto GCP, orchestrating daily SFTP-to-GCS ingestion, Spark/Scala transformations, and loading into Cassandra/Solr/OpenSearch with API- and BigQuery-based validation. Also built a Java Spring Boot service that extracts from Hive and produces Excel outputs, emphasizing testing, logging/alerts, and CI setup.”

Cary Burdick

Screened

Senior Data Scientist specializing in data engineering and analytics

Chicago, IL6y exp

“Data/NLP practitioner with experience in both financial services (Truist) and government (USDA), including an NLP-driven analysis of EU regulations to anticipate US regulatory focus and a major redesign/cleaning of complex pathogen lab-test public datasets. Built production data-quality pipelines with Dagster, Pandera, and Azure Synapse, and is comfortable validating hypotheses with historical backtesting and SME-driven quality controls.”

Prithviraju Venkataraman

Screened

Mid-level AI/ML Engineer specializing in MLOps, NLP, and Computer Vision

Long Beach, CA5y exp

“Built and deployed a production LLM-powered text extraction/classification system that converts messy unstructured reports into searchable insights, running on AWS SageMaker with automated retraining and monitoring. Strong in orchestration (Step Functions/Kubernetes/Airflow patterns) and reliability practices (gold datasets, prompt/tool unit tests, shadow/canary/A-B testing, guardrails/rollback), and has experience translating non-technical stakeholder needs into an NLP workflow plus dashboard.”

HIMANSHU SHARMA

Screened

Mid-level AI Solutions Engineer specializing in enterprise GenAI and automation

Orlando, FL6y exp

“Built and shipped multiple production LLM/agentic systems, including an agentic RAG NL-to-SQL analytics app that cut manual reporting from 9 hours/week to 15 minutes by grounding on schema-aware retrieval and robust fallback/monitoring. Also implemented a LangChain supervisor-orchestrated enterprise IT automation agent that routes requests for search, identity validation, and action execution, and created a RAG search tool spanning Jira/Confluence/SharePoint for operations stakeholders.”

Fnu Pallavi Sharma

Screened

Intern Data Scientist specializing in ML, NLP, and MLOps for healthcare and enterprise AI

Madison, WI1y exp

“Built a production multi-cloud LLM-driven IT ticket automation system using LangGraph, Azure + Pinecone RAG, and an Ollama-hosted LLM on AWS, with Terraform-managed infra and PostgreSQL audit/state tracking for reliability. Also partnered with UW School of Medicine & Public Health students to deliver a glioma survival risk-ranking model, translating clinical feedback into practical pipeline improvements (imputation, site harmonization) and stakeholder-friendly visualizations.”

Aarush Monga

Screened

Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics

New York, USA3y exp

“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”

Ishwari Kulkarni

Screened

Intern IT & Data Analytics professional specializing in automation, cloud operations, and dashboards

Dallas, TX2y exp

“AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.”