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Vetted Apache Hive Professionals
Pre-screened and vetted.
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Senior Data Engineer specializing in multi-cloud data platforms and pipelines
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps
Junior Software Engineer specializing in backend systems and cloud messaging
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Pranav Puranik
Senior AI Engineer specializing in LLMs, RAG, and multimodal NLP
“Built a production LLM/RAG assistant for insurance/health claims agents that ingests 100–200 page patient PDFs via OCR (migrated from local Tesseract to Azure Document Intelligence) and delivers grounded claim detail retrieval plus summaries with PII/PHI guardrails. Experienced orchestrating large workflows with Celery worker pipelines and AWS Step Functions (S3-triggered, Fargate-based batch inference/accuracy aggregation), and collaborates closely with non-technical SMEs (claims agents/nurses) through shadowing, iterative demos, and SME-defined evaluation.”
Jiacheng Yin
Intern Software Engineer specializing in data engineering and AI agent systems
“AI engineer at Anote.ai who built and shipped a production multi-agent LangGraph/LangChain/Ray RAG platform for enterprise search and workflow automation, supporting 3 commercial products and 100+ developers. Drove measurable gains (30% accuracy improvement, lower latency) and improved reliability with Redis-based state checkpointing, message-queue synchronization, and Milvus retrieval optimizations, while partnering with PMs/clients to add transparency features like confidence scores and real-time logs.”
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-Level Software Engineer specializing in recommendation and ranking systems
Mid-level Machine Learning Engineer specializing in MLOps, computer vision, and generative AI
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Mid-level Software Engineer specializing in real-time streaming and analytics platforms