Chirag Raman
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Assistant Professor at TU Delft | Embodied Social Intelligence | Generative Models for Adaptive AI Agents
I develop AI systems that understand social worlds, adapt within them, and learn from experience. I'm an Assistant Professor at TU Delft, where I lead the Tapri Lab within the Department of Intelligent Systems. I am particularly interested in the idea that human intelligence was shaped by the need to navigate social complexity: inferring intentions, coordinating with others, adapting to changing partners, and reasoning about shared situations. This motivates my use of multiparty interactions among people and embodied agents as a framework for studying adaptive, socially situated intelligence. I approach these questions through generative modeling and representation learning, informed by insights from cognitive science and social psychology. As part of the Hybrid Intelligence Center, I co-lead the Robotic Surgery case study with Erasmus Medical Center, Rotterdam. I am also a visiting researcher at the DIS Group, CWI Amsterdam, where I develop ML techniques for remote immersive interactions. Outside research, I enjoy indie game development, fantasy fiction, judo, and discovering new places and cultures by bicycle. You can learn more about me at my website: https://chiragraman.com
Delft University of Technology
Doctor of Philosophy - PhD, Computer Science
September 1, 2018 – December 1, 2022
Carnegie Mellon University
Master of Entertainment Technology, focus on Human Computer Interaction, Computer Vision
January 1, 2011 – January 1, 2013
D.J.Sanghvi College of Engineering - University of Mumbai
Bachelor of Engineering, Information Technology
January 1, 2006 – January 1, 2010
D.G.Ruparel College of Arts, Science and Commerce
HSC (High School), Computer Science
January 1, 2004 – January 1, 2006
Arya Vidya Mandir Bandra West
ICSE (10th Grade), Computer Science
January 1, 1991 – January 1, 2004
The Hybrid Intelligence Centre
Co-Lead, Robotic Surgery Use Case
November 1, 2023 – Present
Delft University of Technology
Assistant Professor
March 1, 2023 – Present
Delft, South Holland, Netherlands
Microsoft Research Cambridge
PhD Research Intern, Presence AI
June 1, 2021 – September 1, 2021
Cambridge, England, United Kingdom
Delft University of Technology
Ph.D. Candidate, Computer Science
September 1, 2018 – March 1, 2023
Delft, South Holland, Netherlands
Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Senior Research Engineer, Multimodal Machine Learning Group
July 1, 2017 – September 1, 2018
Greater Pittsburgh Area
Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Research Engineer, Multimodal Machine Learning Group
April 1, 2016 – July 1, 2017
Greater Pittsburgh Area
ProductionPro
Lead iOS UX Developer
April 1, 2014 – April 1, 2016
Greater New York City Area
Disney Research
Research Associate - Computer Vision
June 1, 2013 – April 1, 2014
Greater Pittsburgh Area
Walt Disney World
New Technology Analyst, Next Generation Experience - New Media Group
May 1, 2012 – May 1, 2013
Lake Buena Vista, Florida
Microsoft - CMU Project
Developer, User Experience and Creative Services Team
January 1, 2012 – May 1, 2012
Greater Seattle Area
D.J.Sanghvi College of Engineering
Faculty - Game Programming and Architecture
January 1, 2011 – June 1, 2011
Mumbai, India
Indian Institute of Technology, Bombay
Project Engineer - Project OSCAR
July 1, 2010 – August 1, 2011
Hungama
iOS Developer
June 1, 2010 – July 1, 2011
Mumbai, India
Indian Institute of Technology, Bombay
Intern, Project OSCAR
May 1, 2008 – June 1, 2010
Interactive Cubes
January 1, 2012 – May 1, 2012
▪ ROLE : Graphics Programmer ▪ DESCRIPTION : The project was a proof of concept for Microsoft's UXCS team featuring interactive content projection mapped onto physical cubes to be installed at the Microsoft Store front ▪ TECHNICAL DETAILS : Guests interacted with the Unity 3D application via a Kinect - based interface. Homography for the projection mapping was tested using 2 alternative solutions; one using OpenCV and the other implemented natively in Unity 3D ▪ CONTRIBUTION : Implemented homogrpahy for projection mapping natively within Unity3D. The homography data was passed to the camera via shaders to achieve the desired skewing of the camera view to achieve accurate mapping to the contours of the cubes
Gesture driven interactive wall
February 1, 2011 – Present
▪ ROLE: Computer Vision Programmer ▪ DECRIPTION: The installation comprised an array of Christie Microtiles installed in the lobby of a major bank's headquarters in Mumbai, India. Guests could drive the interaction using gestures tracked by a ceiling-installed Kinect ▪ TECHNICAL DETAILS: Dataton Watchout was used to synchronise the display across the Microtiles. openFrameworks was used to drive the Kinect and detect gestures CONTRIBUTION: Implemented the gesture recognition system by integrating the depth data from the Kinect along with 2d trcking
Toon Football Striker Practice - iOS
October 1, 2010 – Present
▪ Developed the iOS version of Cartoon Network's Flash game for Turner Broadcasting Systems using Cocos2D and native OpenGL ES calls
Bayesian Methods for Machine Learning (with Honors)
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background, spanning academic research, industry roles (Microsoft, Disney), and startup experience (ProductionPro), demonstrates a broad range of environments they can thrive in. Their involvement in projects like 'Project OSCAR' and teaching game programming indicates a passion for innovation, education, and open-source contributions. The diversity of their projects, from entertainment technology to robotic surgery, suggests an adaptable individual who can align with various organizational cultures focused on cutting-edge R&D and practical application. The target role of ML Engineer aligns well with their deep expertise in machine learning, computer vision, and multimodal data processing.
Soft Skills & Operational Fit
The candidate's extensive experience in academic research, teaching, and project leadership suggests strong problem-solving, critical thinking, and communication skills. Their involvement in diverse projects, from interactive installations to robotic surgery, indicates adaptability and a collaborative mindset. The descriptions of their roles at Carnegie Mellon and Disney Research imply an ability to work in interdisciplinary teams and drive projects from conception to implementation. The candidate's ability to teach and mentor also points to strong communication and knowledge transfer skills.