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Vetted Azure Data Factory Professionals
Pre-screened and vetted.
Principal Python Architect specializing in cloud-native platforms, DevOps, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI and MLOps
Senior Data Analyst specializing in healthcare, biopharma, and financial services analytics
Mid-level Software Engineer specializing in distributed systems and AI agents
Senior Cloud DevOps/SRE Engineer specializing in multi-cloud infrastructure and automation
Mid-level Data Engineer specializing in real-time streaming and AI/ML data platforms
Senior Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level AI/ML Engineer specializing in cloud ML, NLP/LLMs, and real-time data pipelines
Mid-level Data Analyst specializing in financial and healthcare analytics
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Data Scientist specializing in LLMs and applied machine learning
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”