HIMANSHU NAIDU
MS Data Science, University of Washington, Seattle.
About
I am a Machine Learning Engineer at the Taskar Center for Accessible Technology, I am a Machine Learning Engineer at the Taskar Center for Accessible Technology, where I am building computer vision and data-driven solutions to advance accessibility and inclusive urban infrastructure.
I hold a Master's degree in Data Science from the University of Washington, Seattle.
I have been fortunate to explore various research areas throughout my academic journey, that has led to multiple publications in top-tier conferences and journals. My research interests include computer vision, accessibility, information retrieval and responsible AI.
Previously, I worked as a Software Engineer at multiple companies including ServiceNow and Societe Generale, even leading some projects as a scrum master. I thus have hands-on experience in taking products from inception to production in various environments.
Let's connect and explore how we can collaborate to create meaningful, data-driven solutions.
Experience
Machine Learning Engineer
Sep 2023 - Present
The Taskar Center for Accessible Technology, Seattle, WA, USA
Sep 2023 - Present
- Currently developing iOSPointMapper, an accessibility-focused iOS application that enhances sidewalk mapping to contribute towards open data sharing platforms.
- Presented research findings from the first beta release of iOSPointMapper at the 2026 Transportation Research Board (TRB) Annual Meeting.
- Developed computer vision techniques to leverage iPhone Pro sensors (e.g. camera, LiDAR, IMU) to understand sidewalk environments, and identify accessibility-relevant features.
- Created a sidewalk-focused semantic segmentation benchmark dataset of over 500 images, by utilizing a custom-made iOS data collection tool, and annotating with CVAT.ai.
- Led a development team of 5 to develop an initial sidewalk mapping prototype, that formed the basis of iOSPointMapper.
- Tools: Swift, PyTorch, Objective-C, Convolutional Neural Network, Deep Learning, Agile Framework
Data Science Intern
Jun 2024 - Aug 2024
eScience Institute, Seattle, WA, USA
Jun 2024 - Aug 2024
- Spearheaded the development of a comprehensive Python package to facilitate advanced analyses of transit fare card (ORCA) data, enabling transit agencies to better understand transit usage patterns among diverse demographic groups.
- Developed heuristic and machine learning algorithms (e.g., ARIMA), along with in-depth Geospatial analysis, to identify areas in with gaps in low-income ridership, consequently guiding targeted distribution of low-income fare cards.
- Engaged with King County Metro, providing insights on better serving low-income populations.
- Tools: PostgreSQL, PostGIS, Python, Statsmodels, GeoPandas, Shapely, Networkx, Tableau, Statistical Testing, Regression
Software Engineer 2
Dec 2021 - Jul 2023
ServiceNow, Hyderabad, India
Dec 2021 - Jul 2023
- Optimized resource planning and allocation for 3600 large-scale enterprises, through design and development of the Resource Management application using JavaScript and Web components.
- Addressed over 40 customer support cases related to Resource Management and Timecard Management, leading to cost savings of over $2 million for customers (e.g., $110,000 for Medica)
- Accomplished the successful delivery of 3 high-quality mobile apps by leading the Mobile App Development team for SPM org.
- Tools: Javascript, React, Node.js, PostgreSQL, MongoDB, HTML, CSS, Angular 7, GPT-3
- Awards: Llama Award, March, 2023, for leading the Mobile App Development team
Software Engineer
Jul 2019 - Dec 2021
Societe Generale, Bengaluru, India
Jul 2019 - Dec 2021
- Facilitated refined collaboration between MCG business analysts and big data developers in credit risk management, by developing the MCG-HMI application on React.js and Node.js.
- Achieved a significant 71% average improvement in database response time by optimizing SQL procedures.
- Presented multiple Natural Language Processing (NLP) uses cases, by exploring GPT-3 capabilities through prompt engineering.
Intern
May 2018 - Jul 2018
Embel Technologies Private Limited, Pune, India
May 2018 - Jul 2018
- Reduced inventory management time by over 15%, and improved personalized marketing experience for supermarket clientele, by implementing a data analytics plugin for the Java supermarket application.
- Streamlined administrative processes for school management by developing an Android application.
- Tools: Java, SQL, Android Studio, Firebase
Tutor
May 2016 - Jul 2017
JB Tutorials, Pune, India
May 2016 - Jul 2017
- Taught Science and Maths to students of Grades 8, 9, and 10 (CBSE and SSC boards of India).
- Leveraged graphic design skills on Photoshop for marketing and promotions.
- Tools: Photoshop
Education
University of Washington
Jun 2024 - Mar 2025
Master of Science in Data Science
- CGPA: 3.98
- Courses: Introduction to Statistics and Probability, Data Visualization, Applied Statistics and Experimental Design, Machine Learning, Statistical Machine Learning, Machine Learning for Big Data, Human-Centered Data Science, Scalable Data Systems and Algorithms
Vellore Institute of Technology
Jun 2015 - Jun 2019
Bachelor of Technology in Computer Science and Engineering
- CGPA: 3.98
- Courses: Data Structures and Algorithms, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Artificial Intelligence, Machine Learning, Image Processing, Data Mining, Calculus for Engineers, Applied Linear Algebra
- Co-curricular: Outreach Head of Anokha NGO, Core-Committee Member of VIT Trekking Club
Sinhagad Spring Dale Public School
Jun 2003 - Jun 2015
High School
- CGPA: 9.8
Key Skills
Programming Languages
Python, Javascript, Java, SQL, HTML/CSS
Others: R, Swift, Bash, C++
Database Management
PostgreSQL, MySQL, MongoDB, Firebase, Knowledge Graphs
Cloud Computing
AWS EC2, AWS S3, ServiceNow Platform
Others: AWS Neptune, Azure OpenAI Service
Data Science
Data Analysis, Data Wrangling, Data Visualization, Statistical Analysis, Hypothesis Testing, A/B Testing
Machine Learning
Regression, Unsupervised Learning, Deep Learning, Natural Language Processing, Large Language Models, Computer Vision, Recommender Systems
Libraries: PyTorch, TensorFlow, Keras, Scikit-learn, Statsmodels, PySpark
Others: HuggingFace Transformers, OpenCV
Data Visualization
Tableau, Matplotlib, Seaborn, Plotly
Software Development
React, Nest.js, Node.js, Express, Swift UI
Others: Web Components, Flask, Android Studio (Java)
ServiceNow Development
Glide Scripting, Seismic Framework, Jelly Scripting
Projects: Resource Management, Time Card Management, Strategic Portfolio Management
Others
Tools: Git, Docker, Jenkins, Agile
Skills: Project Management, Stakeholder Engagement
Publications
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets
2025
Special Interest Group on Information Retrieval (SIGIR) Conference
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah
DOI: https://doi.org/10.1145/3726302.3730324
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
2024
Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah
DOI: 10.18653/v1/2024.findings-emnlp.795
AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images
2023
Computers and Electrical Engineering
Rajkumar Soundrapandiyan, Himanshu Naidu, Marimuthu Karuppiah, M. Maheswari, Ramesh Chandra Poonia
DOI: https://doi.org/10.1016/j.compeleceng.2023.108711
A Fast and Efficient Convolutional Neural Network for Fruit Recognition and Classification
2021
Recent Trends in Image Processing and Pattern Recognition (RTIP2R)
Himanshu Naidu, Rajkumar Soundrapandiyan, K.C. Santosh, P.V.S.S.R Chandra Mouli
DOI: https://doi.org/10.1007/978-981-16-0507-9_13
A Model for an Efficient Paramedic System in Towns and Cities
2018
Journal of Computational and Theoretical Nanoscience
Himanshu Naidu, Arpit Srivastava, R Manjula, S Rajkumar
DOI: doi:10.1166/jctn.2018.7564
Presentations
iOSPointMapper: RealTime Pedestrian and Accessibility Mapping with Mobile AI
2026
Transportation Research Board (TRB) Annual Meeting
Himanshu Naidu, Yuxiang Zhang, Sachin Mehta, Anat Caspi
DOI: https://doi.org/10.48550/arXiv.2512.22392
Projects
Seattle Crime Hotspot Analysis
Machine Learning, Data Analysis
- Identified smaller, high-density crime areas overlooked by traditional approaches by conducting clustering analysis using HDBSCAN and 5 other clustering algorithms.
- Analyzed the stability and evolution of the identified micro-clusters across census tracts by developing and applying an algorithm leveraging Wasserstein distance and Linear Sum Assignment.
Customer Churn Analysis
Data Analysis
- Validated the association of various feature sets with churn by conducting hypothesis tests, leading to more informed decision-making in predictive modeling.
- Reduced the feature set by 6 for predictive modeling, through Lasso Regression and developed a Logistic regression model accordingly.
In-Depth Analysis of US Road Accidents
Data Visualization
- Developed a national statistics dashboard and an interactive map to present and visualize US road accidents from 2016 to 2023.
Magium
Software Development
- An open-source recreation of Magium, a choose-your-own-adventure game created by the late author Christian Mihailescu
GRE Verbal Tester
Software Development
- Developed a GRE verbal tester to help students improve their GRE verbal reasoning skills.
- Improved own GRE score by 13 points (from 322 to 335) by practicing with the verbal tester.
Content-Based Image Retrieval
Machine Learning, Image Processing
- Implemented several content-based image retrieval (CBIR) algorithms based on traditional ML, from scratch in Java.
- Algorithms: Discrete Wavelet Transforms, Genetic Algorithm, K-Means Clustering, Local Binary Patterns, Micro-Structure Descriptor