Engineering Manager – AI/ML | GenAI | Agentic AI | LLM
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AI engineering leader with 14+ years of experience turning SaaS data into revenue-driving products. Building and Managing large-scale timeseries, AutoML and GenAI systems that serve 2 M+ predictions/day, delivered KPI lifts up to 40 %, and institutionalised responsible-AI practices across Zoho CRM.
Dr.SIVANTHI ADITANAR COLLEGE OF ENGINEERING
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
January 1, 2007 – January 1, 2011
Zoho
Engineering Manager - Machine Learning
June 1, 2022 – Present
Zoho
Machine Learning Engineer
July 1, 2017 – May 1, 2022
TATA CONSULTANCY SERVICES LTD
IT Analyst
January 1, 2012 – July 1, 2017
Chennai Area, India
Nielsen National Television View - SPARK Migration
February 1, 2015 – Present
• Developing the stat calculations involved in national Television rating using Apache Spark and JAVA where data is stored in Cloudera Impala. • Worked on a live 38 nodes Hadoop cluster running CDH5.4 • Working with daily increasing data of more than 50 TB in size. • Very good experience in monitoring and managing the Hadoop cluster using Cloudera Manager.
Nielsen National Twitter Rating
January 1, 2013 – Present
• Developing the stat calculations involved in national Twitter ratings collected from Social Guide • Handled tables with Terra Bytes of data • Technologies used: Java, stat engine framework (Nielsen internal), Oracle 10g, Netezza
Oracle certified Java Developer
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning big data engineering and machine learning, with experience in both large service-based companies (TCS) and product companies (Zoho). The project descriptions show a focus on complex data processing and analytics, which aligns with a Big Data Engineer role. However, the recent shift to Machine Learning Engineering and Management might indicate a different career trajectory, potentially impacting cultural fit for a pure Big Data Engineering role without further clarification.
Soft Skills & Operational Fit
The candidate's resume indicates experience in team management as an Engineering Manager, suggesting leadership and potentially good communication skills. However, without specific assessment data, it's difficult to fully evaluate soft skills or operational fit beyond role descriptions.