Bhavya Kumari N P
Technical Program Manager | Senior Chief Engineer
Bangalore,KA
Summary
Technical Project Lead | GPU Computing · Video Processing · Computer Vision · Medical Imaging · Mobile AI
Results-driven Technical Project Lead with 17+ years of experience delivering high-performance computing solutions across medical imaging, video processing, and AI-powered mobile camera systems. Deep hands-on expertise in CUDA-based GPU acceleration. Proven track record in video codec engineering spanning H.264/AVC, JPEG. Led AI-driven camera innovation at Samsung R&D, spearheading end-to-end commercialization of Single Take, Log Video, and HDR solutions across global flagship devices. Combines low-level systems depth with strategic product leadership — driving Agile delivery, full AI project lifecycles, and cross-functional alignment across engineering, product, and executive stakeholders.
Overview
18
18
years of professional experience
Work History
Senior Chief Engineer / Technical Manager Camera Mobile Division
Samsung R & D Institute Bangalore
Bangalore, KA
01.2021 - Current
- Mobile Camera & AI Solutions — R&D Leadership
Leading research and development division focused on innovative mobile technology - Spearheaded the AI-driven vision strategy for flagship camera features, directly leading the AI solution architecture for Single Take, Log Video, and HDR commercialization - driving end-to-end delivery from concept through launch on flagship mobile devices.
- Led the Video Strategy & AI Solutions team, defining the feature roadmap and pioneering innovative AI-powered video capabilities for next-generation mobile camera products.
- Owned the full lifecycle of AI projects within the mobile camera division — from ideation and model integration through validation, productization, and commercial launch.
- Orchestrated cross-functional alignment across engineering, product, and executive stakeholders, translating AI research innovations into scalable, market-ready camera solutions.
- Championed Agile delivery practices (sprint planning, stand-ups, retrospectives) to accelerate team velocity, improve transparency, and maintain execution discipline across concurrent AI workstreams.
- Managed comprehensive budgets, timelines, and resource allocation across AI project portfolios, ensuring fiscal responsibility, risk mitigation, and on-time delivery
Chief Engineer - Ultrasound Modality Development
Samsung R & D Institute Bangalore
10.2019 - 12.2020
- Ultrasound HS30 Modality Software Development
Served as a key individual contributor in the development of Ultrasound HS30 modality software, engineering core system functionalities and architecting critical console modules using the .NET framework, directly contributing to the reliability and performance of clinical ultrasound imaging workflows.
Technical Lead - MRI Modality Development
Samsung R & D Institute Bangalore
09.2016 - 08.2019
- MRI Reconstruction Algorithm Optimization Optimized advanced MRI reconstruction algorithms — IT4 (Iterative Reconstruction) and N4ITK (Bias Field Correction) — by porting and tuning compute-intensive workloads to NVIDIA GPUs using CUDA, achieving a 6× performance improvement.
- MRI Viewer — Core Software & Rendering Pipeline Development: Built core software components and rendering modules for MRI viewer software.
- Agile Engineering Leadership & Sprint Execution: Led full-cycle Agile development, from sprint planning to high-velocity execution.
- End-to-End QA, Validation & Release Engineering : Directed E2E delivery, including rigorous testing, validation, and release.Directed comprehensive end-to-end (E2E) delivery pipelines encompassing test strategy design, functional and regression validation.
Lead Engineer - CT Reconstruction
Samsung R & D Institute Bangalore
05.2013 - 09.2016
- CT Reconstruction Pipeline Architecture — GPU-Accelerated Medical Imaging: Engineered high-performance Axial and Helical reconstruction pipelines for real-time medical image reconstruction algorithms.
- CUDA-Based GPU Migration & Algorithm Porting: Led the porting of complex reconstruction algorithms to NVIDIA GPUs, significantly accelerating processing speeds achieving 8x performance gains.
- Advanced CUDA Optimization — Multi-GPU, Dynamic Parallelism & CUDA Streams: Leveraged multi-GPU setups, Dynamic Parallelism, and CUDA Streams to maximize throughput.
Specialist - Development Engineer to Specialist
Tata Elxsi Pvt. Ltd
09.2008 - 04.2013
- H.264 / AVC-HD Encoder Optimization Led performance optimization of an AVC encoder targeting the AVC-HD standard with Nvidia GPUs using CUDA optimization , Achieved a 3× throughput improvement
- Rate Control Module Optimization — TI DM365 Platform (Texas Instruments, Local Onsite)
- CAVLD & NVDec Processing Module Design (IP Development)
- Optimization of SISO JPEG Baseline Encoder & Decoder with ARM platform
Education
Master of Technology - Computer Science
Siddaganga Institute of Technology
01.2008
Bachelor of Engineering - Computer Science & Engineering
HMSIT
06.2005
Skills
- GPU Acceleration
- High-Performance Computing
- Computer Vision
- Image Processing
- Video Processing
- Mobile Camera
- Medical Imaging
- Agile / Scrum / Kanban
- Strategic Road mapping
- Stakeholder Management
- People Management
- C
- C
- CUDA
- Python
- PyTorch
- ClineSR
- Gemini
- Copilot
- AI/ML
Websites
Languages
Kannada
English
Telugu
Hindi
Awards
- AI Competent
Achieved AI Competent certification from Samsung R&D, DeepLearning.ai platform - TEAM Awesome awards
Received multiple awards recognizing exceptional contributions to project success and team development - Extra Mile award
Acknowledged for outstanding performance and contributions to key projects within the organization - Bravo Award
Honored for excellence and dedication in engineering roles - Spot awards
Multiple Spot awards recognizing consistent high performance
Skills - Core Competencies
GPU Acceleration, High-Performance Computing, Computer Vision, Image & Video Processing, Mobile Camera, Medical Imaging (CT/MRI/Ultrasound), Agile/Scrum/Kanban, Strategic Road mapping, Stakeholder Management, People Management, C, C++, CUDA, Python, PyTorch, ClineSR, Gauss, Gemini, Copilot, ML, DNNs & Diffusion models
Preferences
Engineering Manager, Senior Engineering Leader, Computer Vision, Video Infrastructure, AI/ML Product Development
Completed Courses
- Parallel Programming with CUDA, Coursera
- Women Leadership Development, Samsung
- Machine Learning Specialization, DeepLearning.ai
- Deep Neural Network Fundamentals, DeepLearning.ai
- PyTorch for DNN models, DeepLearning.ai
- Google Project management, Coursera
Hobbies and Interests
Traveling, Hiking, Yoga, Environmental sustainability, Literature, Raising 2 Active boys
Timeline
Senior Chief Engineer / Technical Manager Camera Mobile Division
Samsung R & D Institute Bangalore
01.2021 - Current
Chief Engineer - Ultrasound Modality Development
Samsung R & D Institute Bangalore
10.2019 - 12.2020
Technical Lead - MRI Modality Development
Samsung R & D Institute Bangalore
09.2016 - 08.2019
Lead Engineer - CT Reconstruction
Samsung R & D Institute Bangalore
05.2013 - 09.2016
Specialist - Development Engineer to Specialist
Tata Elxsi Pvt. Ltd
09.2008 - 04.2013
Master of Technology - Computer Science
Siddaganga Institute of Technology
Bachelor of Engineering - Computer Science & Engineering
HMSIT