AI Research Engineer with 3+ years in Vision Foundation Models & Generative AI
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Highly accomplished Lead AI Research Engineer with 3.2 years of experience in Computer Vision & Foundation Models. Proven track record in developing and deploying real-time video segmentation frameworks, innovative image-video sticker generation, and foundation-model-based AI editing features for commercial devices. Expertise spans multimodal learning, human motion generation, and interactive AI systems, with significant contributions recognized by multiple industry awards and patents.
International Institute of Information Technology, Hyderabad
B.Tech. & M.S. by Research in Computer Science and Engineering (Dual Degree) · Computer Science and Engineering
August 1, 2018 – May 1, 2023
Samsung R&D Institute India
Lead Engineer
August 1, 2023 – Present
Bengaluru, Karnataka, India
Adobe Systems India Pvt. Ltd.
Research Intern
May 1, 2022 – July 1, 2022
India
Center for Visual Information Technology, IIIT Hyderabad
Research Assistant
August 1, 2020 – May 1, 2023
India
Unified Clipper
Unknown
June 1, 2026 – Present
WACV 2025
Unknown
January 1, 2025 – Present
Livestream Key Moment Identification
Unknown
February 1, 2024 – Present
WACV 2023
Unknown
January 1, 2023 – Present
ICME 2023
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning commercial product development at Samsung, research internships at Adobe, and academic research at IIIT Hyderabad, indicates adaptability and a broad interest in various AI applications. Their involvement in multiple publications and patents suggests a proactive and innovative mindset, which aligns well with a research-oriented culture. The focus on both theoretical advancements and practical deployment demonstrates a balanced approach to research and engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their research and development contributions, addressing complex challenges in real-time video segmentation, multimodal fusion, and human motion generation. Their work on commercial products indicates an ability to deliver impactful solutions. The multiple awards suggest a high level of dedication and excellence. Collaboration is implied through research assistant roles and contributions to large projects at Samsung.