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Vetted PySpark Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Mid-level Data Scientist specializing in FinTech and product analytics
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Balpreet Kaur
Junior Machine Learning Engineer specializing in LLMs and data pipelines
“Research Extern at Google DeepMind and former AWS Software Development Engineer Intern with a strong focus on practical, trustworthy AI engineering. Built a multi-agent RAG system for personalized news headline generation using a fine-tuned Flan-T5 model, parallel critic agents, FAISS retrieval, and style embeddings, while also leading a 3-person team on the project.”