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Vetted Amazon Athena Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in AI agents, fraud detection, and cloud ML platforms
Mid-level Cloud Engineer and Solution Architect specializing in multi-cloud infrastructure
Mid-level Data Analyst specializing in banking and healthcare analytics
Senior AI/ML Engineer specializing in Generative AI, Agentic AI, and RAG systems
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Data Engineer specializing in cloud ETL, big data, and analytics
Mid-level Data Scientist specializing in NLP, time-series forecasting, and GenAI
Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
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
Senior Cloud & DevOps Engineer specializing in AWS, Kubernetes, IaC, and cloud security
Senior Data Engineer specializing in multi-cloud lakehouse architectures and privacy/AI governance
Senior engineering leader specializing in platform modernization and safety-critical systems
Junior Full-Stack Software Engineer specializing in AI systems and cloud infrastructure
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Venkatesh Nagubandi
Mid-level Software Engineer specializing in ML, LLM apps, and cloud data systems
“Built a production SQL chatbot for access-log analytics that replaced manual custom report requests with natural-language querying, using LangGraph and a ChromaDB-backed RAG pipeline for grounded, consistent answers. Implemented a privacy-preserving design where the LLM never sees raw customer data (only query metadata) and has experience building multi-agent/tool-calling systems with LangGraph (DeepAgents), including solving sub-agent communication drift via self-reflection.”
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.”
Vardhan Are
Mid-level Data Analyst specializing in AWS-based ETL, churn analytics, and BI dashboards
“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”