Maneesh Bilalpur
PhD Student at University of Pittsburgh School of Computing and Information
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolManeesh Bilalpur is a PhD student at the University of Pittsburgh, focusing on intelligent systems with a keen interest in computational behavior understanding and affective computing. He develops solutions at the intersection of natural language processing and computer vision for emotion recognition, depression detection, and pose generation. Prior to his PhD, he contributed to semantic segmentation and object detection for autonomous driving at a computer vision startup, bringing industry-grade CV experience to academia. His research path spans IIIT Hyderabad, NUS, and now Pitt, reflecting a strong foundation in computer vision and interdisciplinary AI. Based in Pittsburgh, he combines academic rigor with real-world impact, blending AI+psych insights to build scalable, affect-aware systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Electronics and Communication Engineering, Bachelor’s Degree, Electronics and Communication Engineering at Vellore Institute of TechnologyMaster’s Degree, Computer vision, Master’s Degree, Computer vision at IIIT HyderabadDoctor of Philosophy - PhD, Intelligent Systems, Doctor of Philosophy - PhD, Intelligent Systems at University of Pittsburgh School of Computing and InformationResearch Intern, User Profiling from Multimedia, Research Intern, User Profiling from Multimedia at National University of Singapore
English, Hindi, Telugu
Github Skills (71)
python10
gpu10
markdown10
jekyll10
numpy9
neural-network9
pose9
deep-learning9
machine-learning9
github-pages9
gitpod9
acceleration8
tensor8
face8
gpu-acceleration8
Programming languages (7)
Github contributions (5)
AffectAnalysisGroup/PyAFAR
Sep 2023 - Dec 2024
Contributions:4 releases, 2 PRs, 36 pushes in 1 year 3 months
bmaneesh/bmaneesh
Jan 2018 - Feb 2022
Contributions:2 PRs, 14 pushes, 2 branches in 4 years 1 month
webpage
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