Summary
Vijayakumar Jawaharlal is a Principal Engineer with 12+ years driving large-scale data and cloud transformations across telecom, finance, retail and energy, currently leading engineering at AT&T. He combines deep expertise in AWS, Hadoop/Spark, modern data stacks (Snowflake, Databricks, Vertica, Teradata) and ML pipelines to design scalable architectures and productionize hundreds of models and GenAI solutions. At McKinsey he led GenAI and LLM initiatives—building RAG pipelines, fine-tuning workflows, and LLMOps blueprints—while also scaling IoT-driven ML deployments for power plants. His background spans hands-on ETL, recommender systems and NoSQL/columnar databases, plus certifications in Cloudera, Vertica and Teradata that reinforce his platform pedigree. Known for translating legacy Java systems into AI-enabled services and for pragmatic blueprints that accelerate platform adoption, he blends deep technical craft with delivery-focused leadership. Based in Suwanee, GA, he pairs enterprise-scale experience with a propensity for building reproducible, evaluation-driven ML and data engineering workflows.
12 years of coding experience
14 years of employment as a software developer
B.E, Computer science and engineering, B.E, Computer science and engineering at Manonmaniam Sundaranar University
English, Tamil