Teams at Arionkoder

Build and deploy production-grade AI and LLM systems for client engagements, including structured document extraction, RAG, agents, evaluations, and governed data foundations. Develop tested Python services, CI/CD pipelines, cloud deployments, and cost- and latency-aware architectures. Work directly with clients through discovery, demos, prototyping, presales, and delivery while addressing security, privacy, quality, and business-impact concerns.

Lead end-to-end quality for product teams by designing test strategies, running manual and exploratory testing, building and maintaining automated UI/API suites in CI, triaging defects, defining release quality gates, and using AI tools to accelerate test design and automation.

Build and govern production-grade data foundations in Databricks, including entity reconciliation, history-aware data models, provenance, lineage, quality testing, incremental processing, and access controls. Develop APIs and data services with permission enforcement, collaborate with client data teams and stakeholders, and independently resolve conflicting definitions and identifiers. Use Python, SQL, Spark, and AI coding tools while ensuring reliable, secure, and well-documented data for applications, AI agents, and business users.