Kalaiyarasan Venkatesan
@kalaiyarasanvenkates
Principal Engineer for AI & data platforms, building secure, scalable LLM and real-time decisioning systems.
What I'm looking for
I’m a Principal AI & Data Platform Architect with 15+ years of experience designing and scaling cloud-native distributed systems, intelligent data platforms, and enterprise AI/LLM applications across AWS and Azure.
At Cloud Software Group, I architected Enterprise AI & LLM Platforms—leading NetScaler AI Gateway with secure OpenAI integrations via LangChain workflows, supporting 5K+ users with 99.9% secure API throughput. I also drove LLM-powered Copilot capabilities, improving support resolution accuracy by 35%, while establishing Responsible AI governance, model monitoring, and enterprise-grade deployment practices.
I’ve built high-throughput, globally distributed data foundations using Kafka-based load balancing (100K+ messages/sec with SSL and dynamic broker discovery) and delivered ML-driven bot detection that reduced false positives by 20%. I mentor across the org—directly guiding 6+ engineers and enabling 50+ engineers through architectural standards for cloud-native deployments with Docker, Kubernetes, and CI/CD automation.
Earlier at Adobe, I architected Spark/PySpark pipelines on Databricks for real-time personalization serving 25M+ users, and productionized ML workflows with Kinesis, SageMaker, Docker, Jenkins CI/CD, AWS ECS, and CloudWatch for 99.95% uptime. Across my early career spanning Hadoop ecosystems (Hive, HBase, Spark), I’ve focused on performance, reliability, and pragmatic modernization—turning complex data and ML needs into systems teams can run confidently.
Experience
Work history, roles, and key accomplishments
Principal Engineer
Cloud Software Group (Formerly Citrix)
Sep 2022 - Present (3 years 9 months)
Architected secure enterprise AI/LLM platforms integrating OpenAI with LangChain workflows; led NetScaler AI Gateway that supported 5K+ users with 99.9% secure API throughput and improved support resolution accuracy by 35%. Built high-throughput Kafka infrastructure (100K+ messages/sec), established Responsible AI governance and monitoring, and mentored 6+ engineers while enabling 50+ across AI in
Architected Spark/PySpark pipelines on Databricks serving 25M+ users, enabling real-time personalization and improving engagement by 20%. Productionized ML systems with Docker/Jenkins CI/CD on AWS ECS (99.95% uptime) and built real-time ML scoring pipelines using AWS Kinesis and SageMaker for Adobe Experience Platform (AEP).
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Delhi
Continuity Education Programme, Chief Technology Officer (CTO)
2025 -
Pursuing the IIT Delhi Continuity Education Programme with a focus on Chief Technology Officer (CTO), from Aug 2025 to Jul 2026.
Indian Institute of Management Bangalore
Executive Education Programme, Business Analytics & Intelligence
2020 - 2021
Completed an Executive Education Programme in Business Analytics & Intelligence at IIM Bangalore from Jun 2020 to Jul 2021.
Thirumalai Engineering College
Bachelor of Engineering, Electronics & Communication Engineering
2005 - 2009
Grade: 84/100, Distinction
Earned a B.E. in Electronics & Communication Engineering from Thirumalai Engineering College (Anna University), graduating in May 2009 with distinction.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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