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Vetted Apache Hive Professionals
Pre-screened and vetted.
Principal/Senior Architect specializing in AI platforms and cybersecurity
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Pradeep Nadella
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Mid-level Data Scientist specializing in Generative AI and LLM applications
Jian Guo
Executive Data & AI Leader specializing in enterprise data platforms and analytics
“Early-stage founder building a service business targeting small clinics, already with one client. Identified the opportunity by helping a family member and then validating needs through direct client conversations; uses AI (including AI agents) for content generation and plans deeper workflow automation to scale cost-effectively.”
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Executive Engineering Leader specializing in Agentic AI and Generative AI
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps
Senior Data Engineer specializing in cloud data platforms and analytics pipelines
Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps