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Vetted BigQuery Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP
Senior Data Engineer specializing in real-time pipelines, cloud data platforms, and healthcare analytics
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Senior DevSecOps & Cloud Engineer specializing in Kubernetes, GitOps, and federal compliance
Mid-level Machine Learning Engineer specializing in MLOps and healthcare analytics
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level Data Analyst specializing in BI dashboards, SQL optimization, and cloud data pipelines
Mid-level Data Engineer specializing in lakehouse architectures and cloud ELT
Mid-level Data Scientist / ML Engineer specializing in NLP, GenAI, and cloud ML deployment
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Senior AI Python Engineer specializing in Generative AI and MLOps
Rama Gowtham Reddy Padala
Mid-level Python Developer specializing in APIs, data engineering, and cloud-native systems
“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”
Alan Lam
Engineering Manager & Senior Full-Stack Engineer specializing in e-commerce platforms
“Backend-focused JavaScript/Node.js engineer with e-commerce domain depth from Decathlon, working on foundational microservices for order management, inventory, and fulfillment integrations. Led an infrastructure redesign and shipped a Shopify-based persistent cart experience, diagnosing early production issues via monitoring/log analysis and improving reliability through stronger session persistence and fault-tolerant architecture.”
Chandan Chalumuri
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
“Data engineering / ML practitioner with experience at MetLife building transformer-based sentiment analysis over large unstructured datasets and productionizing pipelines with Airflow/PySpark/Hadoop (reported 52% efficiency gain). Also implemented embedding-based semantic search using Pinecone/Weaviate to improve retrieval relevance and enable RAG for customer support and document matching use cases.”
GOWRI SHANKAR ANANTHULA
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”