Archit Mangrulkar
Senior Software Engineer @Samsung R&d Institute India - Bangalore
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WORK HISTORY
Senior Software Engineer @Samsung R&d Institute India - Bangalore
Working on efficient computer vision systems; co-author of a paper currently under review at the ECV Workshop, CVPR 2026 Currently developing video denoising & portrait to landscape video solutions for commercialization in flagship segment [Flip, Fold & S series]Conducted 51 hours of End-to-end Optimization in C++, Advanced C++ topics & OpenCV sessions as part of LnD training for a pax of 200+ engineers across Visual Intelligence, XR, Network modem, Voice Intelligence, Ad & Services PF, SmartThings teams
EDUCATION
Indian Institute of Technology, Kharagpur
B. Tech, Computer Science & Engineering
ABOUT ARCHIT MANGRULKAR
Innovative Software Engineer | AI & Computer Vision Specialist | Camera Technology ExpertCurrent Role Software Engineer at Samsung Research, specializing in enhancing user experience through cutting-edge computer vision and AI solutions. Key contributions include developing real-time video stabilization technologies like VDIS, Hyperlapse, and Super Slow Motion for flagship and mid-range Samsung smartphones globally. Core Expertise- Camera Technologies: Extensive experience with camera pipelines (LSI, MTK, Qualcomm) and sensors from Sony, OmniVision, and Onsemi - Video Stabilization & Hyperlapse: Advanced algorithms for stabilization using gyroscopic sensors, accelerometers, and AI - Super Slow Motion: Expertise in high frame-rate capture, image processing, and CNN-based optimization- Software Development: Proficient in SDLC, Agile, CI/CD tools, and version control systems - Programming: Skilled in C++, Assembly, OpenCV, and algorithm optimization for robust and scalable solutions Research & Academia - NLP and Computer Vision: Research experience in stance and premise classification, with a published paper at SMM4H (COLING 2022) on COVID-19 Twitter dataset analysis-3D Human Pose Estimation: MITACS\'23 internship at the University of Alberta, leveraging 3D transformers and attention-based methods for point cloud reconstruction- Hardware and Deep Learning: Research at TU Dresden designing C++-based approximate multipliers for TensorFlow Lite- Additional Projects: Experience in Image Segmentation, Style Transfer, and multimodal learning. EducationB.Tech in Computer Science from the Indian Institute of Technology (IIT) Kharagpur. Achievements - Over 1 year of industry experience and 3+ years in academic research- Expertise in advanced QA systems, domain adaptation, and performance optimization. Passion for Innovation Driven to push boundaries in computer vision, NLP, and multimodal learning. Open to collaboration and discussions to shape the future of technology.
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