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Vetted Apache Hadoop Professionals
Pre-screened and vetted.
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Mid-level AI/ML Engineer specializing in LLMs, NLP, and scalable ML pipelines
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Senior SRE/DevOps Cloud Engineer specializing in multi-cloud Kubernetes, GitOps, and security
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
Hsi-Chun Wang
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”
Anirudh Indurthi
Mid-level Full-Stack Java Engineer specializing in cloud-native microservices
“Software engineer with strong full-stack and platform experience (TypeScript/React/Node.js) who has built real-time analytics dashboards and microservices using RabbitMQ. Demonstrates production-minded decision-making under launch pressure (manual fallback for payment-impacting third-party API issues) and has delivered internal DevOps tooling that automates compliance checks via GitHub/Jira integrations.”