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Vetted Power BI Professionals
Pre-screened and vetted.
Sai Vamsee Bandaru
Entry-level Data Analyst and AI Engineer specializing in machine learning and LLM systems
“Founding-engineer-oriented full-stack product engineer who built an AI tutor system end-to-end, spanning React UI, FastAPI backend, retrieval/LLM pipelines, and Postgres optimization. Stands out for combining product thinking with deep systems work: improving onboarding and activation, shipping quickly with beta users, and abstracting reusable retrieval infrastructure for multiple use cases.”
Christopher Paredes
Junior Full-Stack Developer specializing in web development and AI research
“Early-career software engineer who has already owned a real-world web product end-to-end for a 100+ member university ACM organization, including requirements gathering, UI/UX improvements, hosting, CI/CD, and ongoing maintenance. Brings hands-on React and full-stack project experience with a strong bias toward practical execution, mobile-friendly design, and reliable delivery.”
Anthony Flores
Mid-level Integration Engineer specializing in enterprise implementations
“Implementation-focused functional consultant currently at Quadient, with prior experience supporting logistics and transportation organizations through complex B2B integrations and operational workflow rollouts. Stands out for bridging business and technical teams across EDI/API-heavy environments, owning documentation, testing, and go-live support, and translating cross-functional operational needs into usable enterprise workflows.”
Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”
Gowtham Manikanta Chilukabathula
Entry-level AI and Data Analyst specializing in LLMs and analytics
“Candidate brings a blend of AI, analytics, and go-to-market support experience through an AI/data internship and graduate assistant role. They analyzed data across 50+ organizations to identify high-fit outreach segments, improving targeting efficiency by about 28%, and also built/reviewed GPT-4 and LangChain-based outbound messaging systems with strong quality controls.”
Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization
Mid-level Frontend Engineer specializing in React and enterprise web applications
Entry-level Software Engineer specializing in full-stack, backend, and cloud development
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-Level Application Support Engineer specializing in SAP, cloud IAM, and production operations
Junior Software Developer specializing in mobile, web, and security
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Intern-level Business Analytics professional specializing in data science and BI
Mid-level Software Engineer specializing in Java/Spring microservices on AWS
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Junior Full-Stack Software Engineer specializing in backend APIs and data pipelines
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior Software/Data Engineer specializing in backend systems, ETL, and analytics