Jan 2025 – Jul 2025 · 6 mos

May 2024 – Aug 2024 · 3 mos · Dallas, Texas, United States · On-site

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• Designed data mining and information retrieval pipelines to process large datasets from various sources, ensuring reliability
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• Performed feature engineering and exploratory data analysis for chemistry agnostic SoC prediction model development
• using LSTM based deep learning models upto 5% error margin for robust production operations
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• Implemented RESTful APIs using FastAPI to serve model predictions, microservices and automated training job scheduling
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• Containerized the ML pipeline using Docker for model training and deployment increasing reliability of AI system lifecycle
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• Set up CI/CD pipelines using GitHub Actions and cloud services for deployment of ML models into production environments

May 2022 – Jul 2022 · 2 mos · Pune/Pimpri-Chinchwad Area · On-site

• Deployed a TensorFlow model within a TypeScript-based software solution to predict the State of Health (SoH) of battery packs
• Enabled the organization to develop hypothesis-driven and statistically analyzed warranty scores for battery packs
• Built data mining and information retrieval pipelines to extract operational and health metrics from the company’s cloud infrastructure
• Developed an Artificial Neural Network (ANN) model to forecast battery pack SoH within a 2.5% error margin, conducting extensive experiments and evaluation
• Designed an LSTM-based aging algorithm to quantitatively analyze Indirect Health Indicators, and examined their correlation with SoH degradation

Mar 2020 – Apr 2022 · 2 yrs 1 mo · Chennai, Tamil Nadu, India · On-site

• Data Analytics and Software Development Engineer Mar 2020 - April 2022
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• Performed predictive analytics using exploratory data analysis and applied machine learning models to optimize car setup
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• Deployed the model into interactive dashboards using Tableau and Python to communicate actionable insights to the
• engineering and driving teams, enhancing data driven decision making
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• Implemented concurrent data processing techniques in C++ to handle telemetry data in real-time, ensuring responsiveness
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• Managed multiple data ingestion and parallel processing threads using C++, optimizing CPU usage and performance
• Data Analytics Lead Engineer January 2021 - April 2022
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• Led 6-member cross-functional team excel in a collaborative environment, fostering problem solving and research skills
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• Responsible for code design review, troubleshoot issues during testing and deployment to ensure overall software design
• and quality improvement while ensuring compliance with the rules of the competition
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• Oversee git version control for code from various subsystems and integrate cross-subsystem developments, ensuring
• seamless tracking of software design, understanding of data and collaboration among team members