Rijo Joseph — CTO

Platform Architect with extensive experience designing and scaling Data, ML, and AI platforms for enterprise-scale applications. Currently leading the build-out of Tekion’s unified AI/ML Platform from the ground up — integrating Classical MLOps and LLMOps to enable scalable, secure, and compliant AI systems. At Tekion, leading the architecture and development of the company’s AI ecosystem, including: * Context Platform and RAG layer for contextual intelligence across applications. * LLM Gateway, MCP Gateway, and Agent Orchestration Platform to operationalize generative AI and multi-agent workflows. * Prompt Management, SDKs, and developer services to streamline AI agent lifecycle management and deployment. * Integration of MLOps foundations — Model Registry, Feature Store, and CI/CD pipelines — ensuring unified governance and observability across AI and ML workloads. The platform emphasizes scalability, auditability, compliance, and developer velocity. Previously, as Architect – Data & ML Platform at Myntra, led large-scale transformations across the data and ML stack: * Architected a petabyte-scale data platform supporting analytics, ML, and real-time decision systems. * Modernized ML lifecycle with MLflow and Databricks, improving model management and monitoring. * Spearheaded Lakehouse adoption with Delta Lake, Hive ACID, and Trino. * Built real-time and near-real-time ingestion systems with Kafka, Debezium, and Spark Streaming. * Strengthened security and compliance with Apache Ranger, Trino plugin extensions, and DPDP Act–aligned governance. * Led multi-cloud and region migrations, improving scalability, cost efficiency, and reliability. Earlier at Razorthink, led engineering teams that built high-throughput big data pipelines (6TB/hour), architected Spark-based reporting systems, and delivered AI-driven platforms for clients such as Reliance Jio and Blazent. Focused on platform scalability, developer experience, and reliability, with a passion for enabling data and AI innovation at scale. Core Skills: Data and AI/ML Platform Architecture, LLMOps, MLOps, RAG, Agent Orchestration, Context Platforms, Data Engineering, Lakehouse, Databricks, Spark, Kafka, Delta Lake, Trino, MLflow, CI/CD, Security & Compliance, Observability, Distributed Systems, Cloud Migrations, Open Source Contributions.

Stackforce AI infers this person is a SaaS architect specializing in AI and data platforms.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 6 mos