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Vetted Amazon Athena Professionals
Pre-screened and vetted.
Mid-Level Machine Learning Engineer specializing in NLP and Generative AI
Mid-level Data Scientist specializing in NLP, recommender systems, and time-series forecasting
Mid-level Business & Growth Analyst specializing in marketing analytics and KPI dashboards
Senior Software Engineer specializing in AI platforms and cloud-native systems
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Junior Machine Learning Engineer specializing in Generative AI and MLOps
Senior Full-Stack & DevOps Engineer specializing in cloud-native microservices
Mid-level Backend & Blockchain Developer specializing in Web3 and cloud-native systems
Junior Full-Stack AI Developer specializing in multi-agent LLM systems on AWS
Chinmoy Das
Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms
“Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.”
Sukhad Joshi
Junior Data Scientist specializing in applied ML, LLMs, and analytics automation
“Research Analyst at Syracuse who deployed an LLM-powered lab automation system allowing researchers to run QCoDeS instrument workflows via natural language, with strong safety guardrails for real instruments and multi-instrument support. Also collaborated with non-technical stakeholders at iConsult on an audio classification/recommendation pipeline, translating business goals into metrics and Tableau dashboards with model comparisons and A/B test results.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”
Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference