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Vetted BigQuery Professionals
Pre-screened and vetted.
Executive Technology Leader specializing in AI/ML, data platforms, and digital transformation
Staff Software Engineer specializing in frontend platforms and healthcare UX
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Engineering Manager specializing in AI/ML, cloud services, and microservices
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Senior Data Engineer specializing in multi-cloud data platforms and pipelines
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Narasimha Jwalapuram
Mid-level Applied AI Engineer specializing in LLM agents, RAG, and model alignment
“Applied Scientist with legal-tech experience who builds production LLM systems. Created and deployed Quibo AI, a LangGraph-based multi-agent pipeline that turns large markdown/Jupyter inputs into polished blogs and social posts, overcoming context limits via ChromaDB + HyDE RAG. Also built a large-scale iterative code-evolution workflow using multi-model orchestration (GPT/Claude/Gemini) with testing, debugging loops, and evaluation/observability practices.”