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Vetted BigQuery Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Mid-level Data Engineer specializing in cloud data pipelines and full-stack analytics
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Diana Minine Gudinho
Mid-level Data Scientist specializing in GenAI, RAG, and forecasting
“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”
Atharva Joshi
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
bharath burgoju
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”