Anweshan Bor

AI Researcher

Singapore, Singapore, Singapore5 yrs 2 mos experience

Highly Stable

Key Highlights

Achieved 90% AUROC improvement in defect detection.
Streamlined KYC processes across multiple departments.
Developed scalable AI models and web applications.

Stackforce AI infers this person is a Data Science and Software Engineering specialist with a focus on Fintech and SaaS.

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Skills

Core Skills

Computer VisionMachine LearningSoftware EngineeringFrontend DevelopmentWeb Development

Other Skills

3D surface defect detectionAWS AmplifyAWS LambdaAWS S3AlgorithmsAutoCADAutoCAD MechanicalAutodesk InventorAzure Virtual MachinesC (Programming Language)C++CI/CDCalculusCascading Style Sheets (CSS)Convolutional Neural Networks (CNN)

About

Anweshan Bor is a highly accomplished MSc graduate in Data Science and Machine Learning from the National University of Singapore. With a proven track record in machine learning, full-stack development, and cloud platforms, Anweshan has consistently delivered innovative solutions across diverse domains. His recent experience includes advanced computer vision research at A*STAR, where he optimized defect detection processes, achieving a 90% AUROC improvement. At Wells Fargo, Anweshan played a pivotal role in streamlining business workflows and enhancing front-end applications, significantly improving operational efficiency. Proficient in Python, ReactJS, and cloud services like AWS, Azure, and GCP, Anweshan excels at building scalable AI models, optimizing databases, and developing end-to-end web applications. He thrives in dynamic, collaborative environments and is passionate about leveraging technology to solve complex challenges and drive meaningful outcomes. Anweshan is actively seeking opportunities to contribute his expertise to impactful projects in data science, machine learning, and software engineering.

Experience

5 yrs 2 mos

Total Experience

2 yrs

Average Tenure

1 yr 1 mo

Current Experience

Singapore university of technology and design (sutd)

Senior Research Assistant

May 2025 – Present · 1 yr 1 mo · Singapore · Hybrid

A*star - agency for science, technology and research

Research Intern

Jun 2024 – Jan 2025 · 7 mos · Singapore, Singapore · On-site

Collected benchmark real world dataset for one-shot 3D surface defect detection/segmentation
Established limitations of 3d reconstruction/novel view synthesis of real scenes from consumer level
devices
Augmented 2D detection methods for training and inference over video sequences
Applied normalization and temporal filtering techniques to decrease false positives and boost AUROC by
90%

3D surface defect detectionnormalization techniquestemporal filteringdata collectionvideo processingComputer Vision+1

Wells fargo

2 roles

Program Associate

Jul 2022 – Jul 2023 · 1 yr · Hyderabad, Telangana, India

Revamped the KYC process by transitioning from SharePoint to a centralized application, streamlining
workflows for 4–5 departments and cutting down reliance on multiple platforms
Delivered ReactJS front-end components under strict deadlines, improving application’s usability and
functionality to meet diverse departmental needs
Ensured adaptability by responding swiftly to evolving requirements from Product Owners, fostering strong
trust and agility in development
Presented key features to stakeholders, acting on feedback, building confidence and ensuring smooth
adoption across departments-

ReactJSKYC processworkflow streamliningstakeholder presentationSoftware EngineeringFrontend Development

Software Engineer Intern

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India (WFH)

Collaborated in a team of 10 to design and implement an end to end project primarily involving ML and Web development
Developed specific and robust frontend modules in ReactJS trying to incorporate SOLID design principles
Wrote unit tests using Testing Library React with about 60% code coverage for one frontend app
Dockerized and deployed backend modules on Azure App Service, Azure VM Instance and frontends on AWS Amplify
Configured custom self-hosted Github Actions runner on Google Cloud Compute Engine VM instance
Designed and implemented complete CI/CD pipeline from code push to tests to automated deployments using Github Actions and Workflows with integration to the cloud service deployments, after experimenting and researching native cloud pipelines like AWS Code Pipeline, Google Cloud Build, Azure DevOps and local automation with Jenkins

ReactJSDockerCI/CDunit testingSoftware EngineeringWeb Development