Headline

Ex- AI/ML Intern @ Stellantis | IIT Madras (Data Science) | ML Pipelines, Automation, Python, SQL, GCP | Building Production-Ready Data Solutions | Open to Opportunities

About

AI/ML engineer with hands-on experience building and deploying automation and machine learning solutions in production environments. Completed B.S. in Data Science and Applications from IIT Madras, with industry experience at Stellantis and GlobalLogic. At Stellantis, led end-to-end development and deployment of Python-based automation tools integrating Excel workflows into engineering processes, reducing manual effort in reporting and validation tasks. Built and distributed scalable desktop applications using PyInstaller, enabling non-technical users to independently run Python-driven tools without setup dependencies. Managed release cycles, validation processes, and post-deployment monitoring to ensure reliable adoption. Previously worked on ML data operations at GlobalLogic, focusing on large-scale image dataset annotation, validation, and quality analysis. Built dashboards using Looker Studio and Google Sheets to track performance metrics, error trends, and data quality, contributing to improved dataset reliability for ML training. Strong foundation in machine learning, deep learning, and data systems with experience across Python, SQL, Scikit-learn, PyTorch, and GCP (BigQuery, CloudSQL). Built end-to-end projects including sentiment analysis models (top 10% Kaggle ranking) and full-stack applications with Flask and REST APIs. Actively targeting Machine Learning Engineer / Data Scientist roles focused on building scalable ML systems, automation solutions, and data-driven products.

Location

India

AI stack

claude

codex

cursor

deepseek

gemini

openai

Work experience

AI/ML intern at Stellantis, Oct 2025 - Apr 2026 · 7 mos, Chennai, Tamil Nadu, India, ● Led end-to-end implementation of Python-based automation tools — scoping, development, testing, and deployment — integrating AI/ML workflows into engineering processes to reduce manual effort across reporting and validation tasks. ● Designed scalable desktop applications packaged via PyInstaller and distributed through SharePoint, enabling non-technical stakeholders to adopt solutions independently with no setup required. ● Maintained structured release and validation processes for internal tool deployments, coordinating testing and rollout phases to ensure reliable production delivery. ● Monitored post-deployment performance through feedback loops and usage tracking; produced SOPs and technical documentation to support long-term maintainability and org-wide adoption.

Associate Analyst at GlobalLogic, Apr 2024 - Sep 2025 · 1 yr 6 mos, Gurugram, Haryana, India, ● Worked on ML data operations for image datasets, focusing on data annotation, validation, and quality assessment. ● Analyzed structured data with error categories and performance metrics to identify patterns and improve data consistency. ●Used Google Sheets and Looker Studio dashboards to track accuracy, error trends, and annotator performance. ● Collaborated with teams using data sourced from BigQuery, supporting reliable datasets for ML training and evaluation.

Education

Bachelor of Science - BS, Data science and applications, Indian Institute of Technology, Madras

Bachelor of Technology - BTech, Mechanical Engineering, Jaipur Engineering College and Research Centre (JECRC)