Sangeeth Athiappan
AI/ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI/ML leader with 12+ years of overall IT experience, including 5+ years of hands-on leadership in designing, building, and deploying AI/ML solutions for clients across manufacturing, defense, FMCG, financial services, and e-commerce sectors. Proven ability to lead end-to-end AI/ML project lifecycles — from client requirement gathering and technology landscape assessment through prototype, development, deployment, and production monitoring. Demonstrated expertise in identifying AI/ML opportunities within client environments, proposing tailored solutions, and translating complex business requirements into scalable, production-grade AI systems.
Hult international Business School
M.B.A
July 31, 2014 – August 30, 2015
Anna University, Chennai
B.E
July 31, 2006 – August 30, 2010
Splash BI
Project Lead (Techno Functional)
March 31, 2026 – Present
Mondelez India Foods Private Limited
Director
March 31, 2022 – March 30, 2025
Smartbox Ecommerce Solutions Private Limited
Director
January 31, 2016 – March 30, 2022
Nokia Networks
Performance Engineer
February 28, 2011 – April 29, 2014
Solar Panel Anomaly Detection
April 30, 2022 – December 22, 2022
Created a predictive anomaly detection solution for solar power monitoring using sensor and weather data. Performed data preprocessing and feature analysis on real-time metrics such as voltage, current, and power output to identify unusual patterns that could indicate performance issues. Applied Isolation Forest and One-Class SVM to detect anomalies without relying on labelled failure data. Tuned model parameters to improve sensitivity and reduce false alarms. Deployed the final solution through a Streamlit application to enable proactive monitoring and operational issue detection.
Cultural Fit Analysis
The candidate's project diversity spans anomaly detection, NLP translation, and financial analysis, indicating adaptability. Their experience across manufacturing, defense, FMCG, financial services, and e-commerce sectors suggests a broad exposure to different business environments. The transition from performance engineering to director roles, and then to an AI/ML Project Lead, shows a proactive approach to career development and a willingness to embrace new challenges. The personal project on solar panel anomaly detection also highlights initiative and continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and project management skills, evidenced by their roles as Project Lead and Director. Their experience in stakeholder communication, cross-functional team leadership, and client engagement suggests a good operational fit. The MBA degree further supports business acumen and strategic thinking. However, the resume lacks specific examples of stress handling or team collaboration beyond general leadership duties.