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Vetted Tableau Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in AI-driven web applications
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
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 financial services and analytics
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Executive technology leader specializing in enterprise systems, cloud, and identity strategy
Mid-level Data Analyst specializing in analytics, AI, and business intelligence
Mid-level Data Analyst specializing in business intelligence and customer analytics
Mid-level sales and sports marketing professional specializing in business development
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP systems
Junior analytics consultant specializing in FinTech and financial modeling
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Tony Barreto
Mid-Level Full-Stack Software Developer specializing in modern web apps
“Product-focused full-stack builder who has shipped and operated multiple production apps from scratch, including an e-commerce bakery delivery scheduler (with concurrency controls and timezone handling) and a real-time passenger music-request system for Lyft rides that hit and resolved YouTube API rate-limit scaling issues via debouncing and caching. Strong in React+TypeScript and Node.js/TypeScript backends, with solid PostgreSQL/PostGIS data modeling and performance tuning.”
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Anupriya Palanisamy
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Prasad Sadineni
Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”
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.”
Ruojie Hao
Mid-level Full-Stack Engineer specializing in AI, real-time web apps, and 3D/GIS systems
“Frontend-focused engineer who built and fully owns an interactive portfolio site showcasing real-time and 3D browser experiences, including WebGPU and WebSocket integrations. Stands out for combining polished UI design with deep browser-performance work such as progressive loading, GPU buffer batching, and React render optimization.”
Shreyas Krishnareddy
Junior AI/Software Engineer specializing in NLP, RAG, and resume parsing
“Backend/AI engineer who built and refactored a production RAG system over IRS Form 990 filings for 60 nonprofits, using a dual-path architecture (deterministic financial ranking + TF-IDF semantic retrieval) to keep latency sub-2s and reduce hallucinations. Demonstrates strong API craftsmanship in FastAPI (contract-first, OpenAPI-driven) plus production-grade security for multi-tenant systems (JWT, RBAC, Supabase-style RLS) and careful migration practices (feature flags, traffic mirroring, incremental rollout).”
Vaibhavi Madhav Deshpande
Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines
“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”