Sankara Subramanian Venkatraman

About Sankara Subramanian Venkatraman

As a Lead Data & AI Engineer and AVP at Citi, I specialize in developing and deploying advanced machine learning and MLOps solutions. With over 9 years of experience, I have expertise in building end-to-end MLOps pipelines, implementing Spark ML-based prediction models, and automating deployments using Ansible and enterprise pipeline orchestrators. My work integrates cutting-edge AI technologies, including ElasticNet regression and text-analytics-driven risk assessment, to enable reliable decision-making and enhance operational efficiency. At Citi, I contribute to delivering scalable AI solutions by leveraging my skills in model development, feature engineering, and pipeline security. My focus is on ensuring consistency, reliability, and governance throughout the entire data lifecycle. Dedicated to impactful and high-quality delivery, I collaborate with teams to enable intelligent automation and data-driven decision-making for enterprise-scale applications.

Experience

1. Lead Data & Ai Engineer (AVP)

   Citi

   Jun 2025 — Present

   Architected and delivered distributed ML and analytics platforms, integrating real-time inference APIs and microservices-based data systems for financial use cases.• Designed and deployed low-latency ML pipelines (30-min SLA) using Spark ML and FastAPI, improving fund analytics and decision-making.• Built an agentic conversational AI platform (Google ADK, MCP) using agent orchestration and reasoning workflows to generate optimized parallel SQL queries on BI datasets, significantly improving self-service insights and reducing reliance on data teams.• Established end-to-end CI/CD pipelines for ML and AI workloads, reducing deployment time from 1 week to <2 hours through automation and containerization.• Led platform-level architecture decisions across scalability, governance, and security, ensuring compliance in regulated enterprise environments.• Mentored engineers and drove best practices across development, deployment, and operational excellence.• Defined best practices and architectural standards for data and ML platforms across teams, improving consistency and scalability.

Education

• National College of Ireland

  Master of Science - MS, Data Analytics

• SRV Boys higher secondary school

  High School, Computer Science

  2009 — 2011

• PSG College of Technology

  Bachelor of Engineering (B.E.), Mechanical Engineering

• MSP Solai Nadar Memorial Higher Secondary School

  Middle School

  2005 — 2009

• Trinity College Dublin

  Evening Course, Psychology