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Vetted Apache Hive Professionals
Pre-screened and vetted.
Yashvi Shah
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
“Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).”
Zahaan Khan
Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms
“TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.”
Chandra sai kiran Kammari
Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization
“ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.”
Aesha Choksi
Director-level Engineering Leader specializing in Cloud Security and Data Platforms
“Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.”
Senior Technical Program Manager specializing in geospatial platforms, APIs, and ML data operations
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Director-level Data Engineering Leader specializing in AI/LLM platforms and real-time data systems
Senior AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Senior Backend/Platform Software Engineer specializing in data systems and API integrations
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Mid-Level Software Engineer specializing in cloud platforms, ML/GenAI, and distributed systems
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection