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Vetted Data Visualization Professionals
Pre-screened and vetted.
Junior Product Designer specializing in visual identity, prototyping, and digital media
Mid-level Full-Stack Developer specializing in modern web apps and cloud platforms
Mid-Level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Mid-level Data Analyst specializing in business intelligence and marketing operations
Junior Software Engineer specializing in ML inference infrastructure
Junior Software Engineer specializing in full-stack web development and machine learning
Senior Full-Stack Developer specializing in scalable web applications
Senior Full-Stack Software Engineer specializing in scalable web applications
Senior Frontend Developer specializing in React, performance optimization, and data-heavy UIs
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Vishesh Patel
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”
CharanTeja Kurakula
Entry-Level AI Engineer specializing in NLP and LLM-powered applications
“AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).”
Yeruva Bala Shreya Reddy
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
Krystal Galdamez
Junior Full-Stack Engineer specializing in AI-powered web applications
“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”
Parth Shroff
Entry-level Full-Stack Software Developer specializing in AI and cloud applications
“Full-stack engineer who has independently owned and shipped educational web products from concept through launch, including an AI-powered thermodynamics tutoring app and a physics learning platform tied to research publication. Strong in React plus AWS serverless architecture, with a clear pattern of working directly with non-technical stakeholders, iterating from user feedback, and maintaining production systems end-to-end.”
“Full-stack/backend engineer with startup-style experience spanning healthcare and B2B infrastructure SaaS. Has worked across Python, Go, and React/TypeScript, including migrating services from Node.js to Go, building microservices and dashboards, and delivering measurable API performance gains through database tuning and Redis caching.”
Rutul Tejani
Mid-level Frontend/Full-Stack Engineer specializing in React and scalable web apps
“Frontend-focused engineer who leads end-to-end delivery of high-performance React + TypeScript products, including legal-tech client platforms and a large-scale case management dashboard handling thousands of records. Strong in SEO for SPAs, strict code quality automation, and performance work (Lighthouse 95+, 40% FCP reduction), plus disciplined rollout practices using LaunchDarkly, canary releases, and Sentry monitoring.”