Available to hire
Hi, I’m Sneha Rao, an experienced machine learning engineer and researcher with a passion for solving complex problems in computer vision, time series analysis, and natural language processing. My work spans various industries, including healthcare and manufacturing, and I’m currently pursuing a master’s degree in Electrical and Computer Engineering at the University of Waterloo.
I love collaborating on innovative projects that push the boundaries of AI technology, and I enjoy transforming raw data into meaningful insights using state-of-the-art models and tools. When I’m not coding or researching, you can find me exploring new AI frameworks or contributing to open-source projects.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
Work Experience
ML Engineer (Volunteer) at Wat.ai
October 1, 2024 - PresentIdentified unlabelled meals in blood glucose time-series data using change point detection methods and implemented ClusterSegmenter. Developed synthetic dataset and applied a Causal Transformer model to perform counterfactual analysis under varying insulin, carbohydrate, and meal timing scenarios. Achieved a low RMSE of 0.03 in predicting blood glucose responses, demonstrating the model’s effectiveness in simulating physiological outcomes across interventions.
ML Engineer at National Research Council Canada
April 30, 2025 - July 21, 2025Developed a PoC for crack segmentation in sealant images using Faster R-CNN and trained Unet/Segformer models, achieving a Dice score of 0.74. Performed image preprocessing, 5× data augmentation, and analyzed climate data to study correlations between crack length and environmental factors. Analyzed NRC IRAP data to identify emerging research trends using keyword extraction techniques. Constructed a dataset of 4M+ AI publications for topic modeling with BERTopic, ETM, and TopClus. Generated Topic Emergence Map and used GPT-4 to interpret evolving technological themes.
Digital Solution Developer 1 at Michelin India Pvt Ltd.
November 30, 2023 - July 21, 2025Resolved critical bugs causing significant business losses, making the India Dealer Portal 1.15x faster and receiving a Go-Getter Award. Built a portal for the EUR region enabling dealers and consumer care to create B2C product and warranty claims, earning a Champions Award. Developed a system using Aura components and Tooling API to automate custom label translation updates, speeding the process 10x and receiving a Go-Getter Award for Innovation and Risk-Taking.
Capstone Project Intern at Turtle Shell Technologies Pvt Ltd.
July 31, 2021 - July 21, 2025Led a team to develop a custom convolutional model for pneumonia detection from chest X-rays achieving 95.2% accuracy, surpassing state-of-the-art baselines. Implemented a spectrogram-based approach for Arrhythmia detection from ECG data with 97.41% accuracy using 8x fewer computations than standard 2D CNNs.
ML Engineer (Volunteer) at Wat.ai
October 1, 2024 - PresentIdentified unlabelled meals in blood glucose time-series data using change point detection methods; implemented ClusterSegmenter. Developed synthetic dataset and applied a Causal Transformer model to perform counterfactual analysis under varying insulin, carbohydrate, and meal timing scenarios. Achieved a low RMSE of 0.03 in predicting blood glucose responses, demonstrating the model’s effectiveness in simulating physiological outcomes across interventions.
ML Engineer at National Research Council Canada
April 30, 2025 - July 21, 2025Developed a PoC for crack segmentation in sealant images using Faster R-CNN and trained Unet/Segformer models achieving a Dice score of 0.74. Performed image preprocessing and data augmentation and analyzed climate data to study correlations enhancing model reliability. Analyzed NRC IRAP data using keyword extraction techniques and constructed a dataset of 4M+ AI publications applying topic modeling methods. Generated a Topic Emergence Map for weak signal analysis and utilized GPT-4 to interpret evolving technological themes.
Digital Solution Developer 1 at Michelin India Pvt Ltd.
November 30, 2023 - July 21, 2025Resolved critical bugs improving India Dealer Portal speed by 1.15x earning Go-Getter Award. Built a portal for the EUR region for B2C product and warranty claims earning Champions Award. Developed a system using Aura components and Tooling API to automate custom label translation updates making the process 10x faster and awarded Go-Getter Award in Innovation and Risk-Taking category.
Capstone Project Intern at Turtle Shell Technologies Pvt Ltd.
July 31, 2021 - July 21, 2025Led a team to develop a custom convolutional model for pneumonia detection from chest X-rays achieving 95.2% accuracy surpassing state-of-the-art baselines. Implemented a spectrogram-based approach for Arrhythmia detection from ECG data with 97.41% accuracy using 8x fewer computations than standard CNN.
ML Engineer (Volunteer) at Wat.ai
October 1, 2024 - PresentIdentified unlabelled meals in blood glucose time-series data using change point detection methods; implemented ClusterSegmenter. Developed synthetic dataset and applied a Causal Transformer model to perform counterfactual analysis under varying insulin, carbohydrate, and meal timing scenarios. Achieved a low RMSE of 0.03 in predicting blood glucose responses, demonstrating the model’s effectiveness in simulating physiological outcomes across interventions.
ML Student Researcher at SEMI lab, University of Waterloo
May 1, 2025 - PresentConducting an in-depth literature review on corrective machine unlearning to identify gaps and limitations in existing approaches. Working under the guidance of Prof. Elliot Creager to design a novel algorithm addressing corrective machine unlearning in response to real-world data deletion demands.
ML Engineer at National Research Council Canada
April 30, 2025 - July 21, 2025Developed a PoC for crack segmentation in sealant images; calculated crack length relative to aluminium panel using Faster R-CNN and trained Unet/Segformer models (Dice score: 0.74). Performed image preprocessing, data augmentation, and analyzed climate data to explore correlations for model reliability. Analyzed NRC IRAP data to identify research trends using keyword extraction and topic modeling methods, generating a Topic Emergence Map and utilizing GPT-4 for interpretation.
Digital Solution Developer 1 at Michelin India Pvt Ltd.
November 30, 2023 - July 21, 2025Resolved critical bugs causing significant business losses; improved India Dealer Portal speed by 1.15x and earned a Go-Getter Award. Built a portal for the EUR region enabling dealer B2C product and warranty claims, receiving a Champions Award. Automated custom label translation process using Aura components and Tooling API, achieving 10x faster translations and earning a Go-Getter Award for innovation and risk-taking.
Capstone Project Intern at Turtle Shell Technologies Pvt Ltd.
July 31, 2021 - July 21, 2025Led a team to design a pneumonia detection system from chest X-rays using a custom convolutional model with 95.2% accuracy outperforming existing models. Implemented a spectrogram-based approach for Arrhythmia detection from ECG data achieving 97.41% accuracy and reducing calculations by 8x compared to 2D convolution models.
Computer Vision Intern at National Institute of Technology Rourkela
March 31, 2021 - July 21, 2025Formulated a custom dataset for object detection and trained YOLOv4 on number plates. Performed OCR using various libraries including Keras OCR. Incorporated suggestions and coordinated with fellow interns to deliver an end-to-end system.
ML Engineer (Volunteer) at Wat.ai
October 1, 2024 - PresentIdentified unlabelled meals in blood glucose time-series data using change point detection methods, implementing ClusterSegmenter. Developed synthetic datasets and applied a Causal Transformer model for counterfactual analysis related to insulin, carbohydrate, and meal timing scenarios. Achieved a low RMSE of 0.03 in predicting blood glucose responses, showcasing model effectiveness in simulating physiological outcomes.
ML Student Researcher at SEMI lab, University of Waterloo
May 1, 2025 - PresentConducted in-depth literature reviews on corrective machine unlearning to identify gaps in current approaches. Worked under Prof. Elliot Creager to design novel algorithms addressing real-world data deletion demands in machine learning.
ML Engineer at National Research Council Canada
April 30, 2025 - July 21, 2025Developed proof of concept for crack segmentation in sealant images using Faster R-CNN, Unet, and Segformer models with a Dice score of 0.74. Performed image preprocessing, data augmentation, and analysis of climate data to explore environmental correlations with crack length. Analyzed NRC IRAP data to extract research trends using keyword extraction techniques and constructed a large dataset of AI publications for topic modeling and weak signal analysis, utilizing GPT-4 for interpretation.
Digital Solution Developer 1 at Michelin India Pvt Ltd.
November 30, 2023 - July 21, 2025Resolved critical bugs improving portal performance by 1.15x and earned awards for operational efficiency and innovation. Developed dealer portal for the EUR region for B2C product and warranty claims, earning a Champions Award. Automated custom label translation processes using Aura components and Tooling API, achieving a 10x speed increase and recognized with a Go-Getter Award.
Capstone Project Intern at Turtle Shell Technologies Pvt Ltd.
July 31, 2021 - July 21, 2025Led a team to design a pneumonia detection system from chest X-rays using a custom convolutional model achieving 95.2% accuracy. Developed spectrogram-based approach for arrhythmia detection from ECG data achieving 97.41% accuracy with significantly reduced computations.
Computer Vision Intern at National Institute of Technology Rourkela
March 31, 2021 - July 21, 2025Created a custom dataset for number plate detection and trained the YOLOv4 algorithm. Performed OCR with various libraries and collaborated closely with other interns to develop an end-to-end system.
Education
B.Tech at Dr. Vishwanath Karad MIT World Peace University (MITWPU)
January 1, 2017 - May 31, 2021B.Tech at Dr. Vishwanath Karad MIT World Peace University (MITWPU)
July 1, 2017 - May 31, 2021B.Tech at Dr. Vishwanath Karad MIT World Peace University (MITWPU)
July 1, 2017 - May 31, 2021B.Tech at Dr. Vishwanath Karad MIT World Peace University (MITWPU)
January 1, 2017 - May 31, 2021Qualifications
Industry Experience
Software & Internet, Manufacturing, Government, Healthcare, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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