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Vetted Dashboard Development Professionals
Pre-screened and vetted.
Senior PPC & Google Ads Specialist specializing in performance marketing
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
Mid-level Full-Stack Engineer specializing in Java/Spring Boot microservices and React
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Mid-level Business Analyst specializing in data analytics and supply chain reporting
Mid-level Business Analyst specializing in financial services and analytics
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Mid-level Data Analyst specializing in business intelligence and customer analytics
Mid-level Python Developer specializing in backend APIs and ETL systems
Entry-Level Full-Stack Web Developer specializing in modern JavaScript applications
Senior Full-Stack Developer specializing in scalable web applications
Executive Web3 Growth & Partnerships Leader specializing in ecosystem GTM
Senior QA Analyst specializing in web/mobile, API, and non-functional testing
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Avni Tripathi
Mid-level Data Scientist specializing in NLP, RAG, and information retrieval for RegTech
“Built and deployed a production document Q&A/research platform that combines semantic search (vector DB embeddings) with structured knowledge-graph querying to reduce analyst research time. Used in high-stakes domains like Politically Exposed Person profiling and extracting critical information from ESG/regulatory documents, with a human-in-the-loop evaluation process (precision@k and source-text highlighting) to ensure accuracy.”
Kirtiranjan Maharana
Mid Frontend Engineer specializing in AI-driven web platforms
“Frontend/product-focused engineer who helped build Cheiron.bio from no product to production, owning major parts of an AI-powered search and document intelligence experience for bio-pharma researchers. Stands out for combining React/Next.js/TypeScript architecture depth with strong product thinking around AI workflows, citations, streaming interactions, and responsive UX in complex, data-heavy interfaces.”
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.”
Akash Mishra
Mid-level Data Engineer specializing in ETL pipelines on GCP
“Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.”
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.”
Kevin Thomas
Intern Software Engineer specializing in AI, cloud, and backend systems
“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”