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Jan 2025 - Present
Senior Data Scientist
Infosys Limited
Houston, Texas, USA
Developed scalable anomaly detection models to identify high-risk utility theft patterns across Arizona, enhancing the Revenue Protection team’s lead generation by increasing detection accuracy and prioritization efficiency. Led deep analytical initiatives across multiple workstreams to evaluate and optimize the Budget Billing program, uncovering key behavioral and financial drivers that informed strategic decisions to boost customer enrollment and retention. Partnered with cross-functional teams (engineering, product, and customer care and billing operations) to translate complex data into actionable insights, directly influencing policy improvements and customer engagement strategies.
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May 2024 - Jan 2025
Senior AI/ML Engineer
Scienza Health (MemoryCare AI Inc)
Newport Beach, California, USA
Designed and implemented custom LLM and RAG pipelines using Python and TensorFlow to enhance cognitive support for TBI, Dementia, and Alzheimer’s patients. Created an avatar-based platform with PyTorch and OpenCV to track speech distortions, behavioral changes, and tone, achieving 90% accuracy. Designed a MoCA test-inspired cognitive assessment platform on Microsoft Azure to reduce assessment time by 35% and ensure scalability.
May 2024 - Jan 2025
Senior AI/ML Engineer
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July 2023 - May 2024
Machine Learning Researcher
USC Information Sciences Institute
Marina Del Rey, California, USA
Engaged in the development of ML models and exploration of distributed edge computing AI system design. Investigating advanced model compression techniques and applying them to enhance the efficiency of models on edge devices.
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July 2023 - May 2024
Master Research Fellow
USC Ming Hsieh Institute - Department of Electrical and Computer Engineering
Los Angeles, California, USA
Pursuing Research and Analysis of Subspace Alignment algorithm for Domain Adaptation. Investigating strategies to enhance and comprehend machine learning algorithms and utilizing supervised and semi-supervised machine learning techniques
July 2023 - Present
Master Research Fellow
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Jan 2023 - May 2023
Machine Learning Engineer Intern
TetraMem Inc
Fremont, California, USA
Contributed to the creation of ML models, such as Visual Wake Words and Human Pose Estimation, utilizing PyTorch and Onnx Runtime. Verified these models on a state-of-the-art AI inference chip with in-memory computing capabilities. Implemented Quantization Aware Training (QAT) techniques for optimized models with reduced parameters.
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May 2022 - August 2022
Machine Learning Intern
TetraMem Inc
Fremont, California, USA
Built Human Pose Estimation ML models using PyCharm, Tensorflow, and COCO Python API in a Linux environment. Validated models on an in-memory computing AI inference chip post neural network optimization. Executed post-training quantization to optimize developed Machine Learning models, achieving 93% accuracy with a reduced model size.
May 2022 - August 2022
Software Developer
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October 2020 - August 2021
Software Developer
Tata Consultancy Services
Mumbai, Maharashtra, India
Instrumental in creating JAVA, HTML, CSS, and JavaScript forms for university portals. Deployed forms in real-time using TCS' framework. Executed tasks including metadata mapping, testing, reports generation, and optimized data segregation based on course details.
about me
đź‘‹Welcome to my digital space! I'm Bhumi Godiwala, a Computer Science enthusiast with a Master's specialization in Machine Learning and Data Science.
As a Machine Learning Researcher and Software Developer, I've honed skills in Python, Java, and Machine Learning libraries. My passion lies in unraveling challenges through data-driven insights, focusing on computer vision, software development, and neural network optimization. Eager to connect with like-minded professionals, share insights, and explore collaborative ventures. Join me on this digital odyssey! 👩‍💻🌟
