Devansh Chaudhary

Associate Consultant

Hyderabad, Telangana, India3 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in optimizing diffusion models for generative AI.
Strong foundation in Machine Learning and Computer Vision.
Published research in international conferences and journals.

Stackforce AI infers this person is a specialist in generative AI and machine learning applications in healthcare and automotive industries.

Contact

Skills

Core Skills

Machine LearningComputer Vision

Other Skills

ArduinoArtificial Intelligence (AI)Audio ProcessingBilstmC++Cloud platformCollaborative Problem SolvingCommunicationConvolutional Neural Networks (CNN)DCA BoardData AnalysisData AnalyticsData InterpretationData StructuresDeep Learning

About

Passionate about advancing the efficiency, scalability, and accuracy of diffusion models by developing faster and more optimized architectures for state of he art T2I and T2V generation and related tasks. My research focuses on pushing the boundaries of generative AI through new methods that make diffusion models more practical, impactful, and widely applicable in real-world scenarios. I am pursuing a Master’s by Research in Computer Science and Engineering at IIIT Hyderabad, where I am profoundly exploring the field of Artificial Intelligence, with a solid foundation from my B.Tech in Electronics Engineering at Aligarh Muslim University, I have gained experience in Machine Learning, Computer Vision, and Embedded systems. My research works have led to publications in international conferences and journals. Contact me at: devansh.chaudhary@research.iiit.ac.in

Experience

International institute of information technology hyderabad (iiith)

3 roles

Teaching Assistant

Sep 2025 – Present · 6 mos

Teaching assistant for the course Linear algebra

Research Assistant

Jun 2024 – Present · 1 yr 9 mos

OPTIMAL group - CSTAR
OPTImization and MAchine Learning Group at Center for Security, Theory & Algorithmic Research

Research Intern

Jun 2023 – Jun 2024 · 1 yr

IC~WiBES, CVEST
● Worked in collaboration with IIIT Hyderabad, MNIT Jaipur, and Aligarh Muslim University.
● Worked on projects funded by the Government of India to work in the field of Automotive Radar.
● Developed a Point Cloud-Based approach using 77 GHz FMCW Radar and Deep Learning for posture
classification.
● Designed a system which achieves high accuracy in classifying various human postures using FMCW radar data, implemented with a low-computational model on embedded hardware. This makes it highly suitable for real-world applications.
● Design and Implementation of Non-Contact Multi-Patient Heart Rate and Breath Rate Monitoring
System using mmWave FMCW Radar
● Designed and implemented an FPGA-based system for object detection and range estimation in ADAS
applications using FMCW Radar.

FMCW RadarDeep LearningEmbedded SystemsObject DetectionPosture ClassificationMachine Learning+1

Ieee robotics and automation society

Technical Head

Mar 2023 – Jun 2024 · 1 yr 3 mos · On-site

● Served as Technical Head of the IEEE Robotics and Automation Society, ZHCET, AMU
● Organized different events and Worked on building Robotics and Automation culture among students