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Vetted Apache Hadoop Professionals
Pre-screened and vetted.
Junior Full-Stack Software Developer specializing in cloud APIs and data platforms
Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript
Mid-Level Software Development Engineer specializing in cloud-native backend systems
Senior DevOps & Cloud Infrastructure Engineering Manager specializing in multi-cloud operations
Senior QA/UAT & Integration Test Manager specializing in enterprise platforms and data migration
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot microservices
Intern-level Software Engineer specializing in Machine Learning and Full-Stack Web Development
Junior Marketing Analyst specializing in growth and performance analytics
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Anurag Patil
Mid-level Data Analyst specializing in machine learning, ETL, and real-world evidence analytics
“Developed and productionized an AI-driven "indication finding" system for AbbVie to identify additional diseases a drug could target, working closely with clinical research teams on cohort inclusion/exclusion criteria and disease rollups. Leveraged an LLM to map clinical inputs to ICD codes and built configuration-driven ML pipelines (Cloudera ML, YAML, scheduled jobs) with structured testing and evaluation for reliability.”
keerthana medaveni
Mid-Level AI/ML Software Engineer specializing in agentic LLM systems
“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”
Zahra Shergadwala
Junior Software Developer specializing in AI/ML and data engineering
“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”
“LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.”