Subhajit Das

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Subhajit Das graduated with a PhD in Computer Science from Georgia Institute of Technology, USA. His interests are in data modeling, visualizations, mixed method user research, and machine learning to build web-based AI applications. His work with Visual Analytics Lab and with DARPA's ‘explainable AI’ initiative includes designing interactive AI applications based on extensive user research.

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About

Subhajit Das graduated with a Ph.D. in Computer Science from Georgia Institute of Technology, USA. His research interests include user modelling, interactive machine learning, and interactive model optimizations bringing end-users' expertise in the modelling pipeline. Over the years, he has extensively worked with domain experts to build interactive AI applications to broaden access to ML and data science. His work with Visual Analytics Lab at Georgia Tech, and with DARPA's explainable AI initiative explores, "ML model selection, interactive optimization, and model interpretability for data exploration and decision making." He has previously developed interactive AI applications with industry partners including Autodesk, BOSCH, GTRI, UPS, 3M, and Microsoft based on extensive user research.


Speciality

  • In-depth expertise in full stack web development and software engineering with AI-based applications.
  • Extensive industry and research experience with AI / Machine learning models, web frameworks, and interaction/visual design to include user feedback in modeling.
  • Expertise in synthesizing personas and user needs by usability testing (in-person and remote).
  • Experienced with user data collection, utilising methods such as contextual inquiry, usability testing, heuristic evaluation, interviews, longitudinal design studies, and crowdsourced surveys.
  • Proficient in writing and visual communication, demonstrated through high-quality publications in journals.

Researcher & Developer.

  • Website: https://subhdas.github.io/
  • City: Atlanta : Georgia, USA
  • Degree: PhD Computer Science
  • Email: das.connect@outlook.com

Working with domain experts, have developed novel interaction techniques with multiple machine learning models (Auto-ML) using interactive model selection, model steering, and interactive objective functions. Have conducted qualitative and quantitative user studies to validate tools and techniques as part of my research. Interests : Interactive machine learning, Model optimization, User Research, HCI + AI, Visual Analytics

Skills

Programming
HTML | CSS 100%
JavaScript | Typescript | NodeJS 95%
C# | Java | C++ 85%
Python | Pyspark | Pytorch | Tensorflow | R 92%
Scala | C 68%
Rust | Web Assembly 45%

Frameworks
Processing | Arduino 100%
React | React-Native | Vue | Angular 95%
Unreal | Unity | ThreeJS | PhaserJS | BabylonJS 72%
MongoDB | SQLite 62%
AWS | Azure | Google Cloud Platform | Spark 53%
Tableau | MS Power BI | Weka 95%

Design and UX Experience
3Ds Max | Rhino | Maya | Grasshopper | Dynamo 97%
Photoshop | Illustrator | InDesign | After Effects | Premier 95%
Axure | SysML | Visio | Mixed-method studies | Qualitative Research 90%

Resume

PDF

Sumary

Subhajit Das

Research : Working with domain experts, have developed novel interaction techniques with multiple machine learning models (Auto-ML) using interactive model selection, model steering, and interactive objective functions. Have conducted qualitative and quantitative user studies to validate tools and techniques as part of my research. Interests : Interactive machine learning, Model optimization, User Research, HCI + AI, Visual Analytics

  • Atlanta, Georgia, USA
  • Georgia Institute of Technology, College of Computing, USA
  • das.connect@outlook.com

Education

PhD. in Computer Science - HCI and Applied Machine Learning

2014 - 2020 (expected)

Georgia Institute of Technology, Atlanta, USA

Researching novel interactions and interfaces to allow curation, optimization, selection and steering of multiple machine learning models to broaden access to ML. Working with domain experts, developed methods to interactively navigate model space, optimize and select models using techniques such as multi-model steering, interactive objective functions, and conflict resolution in objective specification. Collaborated with Tufts University, and University of Wisconsin to prototype ML applications to enable interactive data augmentation and model selection to democratize access to AI solutions.

Master of Science in Computer Science - Visual Analytics

2014 - 2015

Georgia Institute of Technology, Atlanta, USA

HCI, Visual Analytics, Machine Learning, A.I., Graphics and Optimization, UX Research, Experimental Design | Data Science Certificate from John Hopkins University (Coursera.org)

Master Architecture & Design Computing

2008 - 2009

University of Pennsylvania, Philadelphia, USA

Evolutionary Algorithms, Digital Fabrication, Swarm Intelligence, Form and Algorihtms, Multi Agent Systems, Strategy Management (PgDBA) | Leed AP

Professional Experience

UPS Industrial Engg. | Visualization Intern

May 2020 - Aug 2020
Atlanta, GA, USA
  • Developing a geo-visualization system to make sense of origin-destination based optimization models. (NDA)

Bosch Research | Visual Analytics Intern

May 2019 - Aug 2019
Sunnyvale, CA, USA
  • Interpretable machine learning and explainable AI using matrix optimizations on multiple data formats. Crowd-sourced user feedback from Amazon’s Mechanical Turk. (NDA)

Autodesk | Software Engineering Intern

May 2018 - Aug 2018
Boston, MA, USA
  • Instantiated microservices to unify data and parameters across multiple desktop applications under one umbrella data schema.
  • Prototyped a use case of collaborative shared workspace using common data standards.

Microsoft Research | Research Intern

May 2017 - Aug 2017
Cambridge, UK
  • Prototyped STORYBOARD - a web-based slideshow builder, facilitating users to focus on content development by automating slide organization, management and presentation of slide decks.

Autodesk with Perkins Will | Software Intern

Jan 2016 - Aug 2016
Atlanta, GA, USA
  • Prototyped a plugin written in C# generating a large number of automated 3D floor plans helping healthcare planners pick a suitable option.
  • Conducted user study with experts from Perkins Will to further validate the tool.

Autodesk | Software Intern

Jun 2015 - Aug 2015
Boston, MA, USA
  • Worked on the development of a web-based 3D design platform in ThreeJS.
  • Incorporating domain expertise prototyped an extension written in Python enabling automated delivery of 3D model options for facility planning.

Publications

Journal/Conference Papers


Workshop Papers


Posters

Research Prototypes

Selected works

  • All
  • Classification
  • Ranking
  • Regression
  • Clustering
  • Computational Geometry
  • Domain Study
GAGGLE
QUESTO
SNOWCAT
BEAMES
PODIUM
GEONO-CLUSTER
INMACS
SPACEPLAN GENERATOR

Design Applications

Selected works

  • All
  • Games
  • Mobile Apps
  • Smart Products
PIKNIK
SHARE MOMENTS
OD VISUALIZATION
VIZ-CARD
ISPARK
INTER_ARTIFICIAL_LIFE

Contact

Please connect to talk ideas !

Location:

Atlanta, Georgia, USA