I carry 3 years of demonstrated work experience as an Applied (Research) AI engineer in the domain of imaging and speech projects. I worked at the intersection of research and application of Deep Learning models into production. My work involved reading research papers and writing optimized code for in-house products, keeping the running latency and memory consumption in check.
I'm fascinated by the unprecedented results achieved using AI to some of the most challenging problems in the world. I aim to contribute further to the AI-driven future with my theoretical knowledge and my corporate engineering exposure.
Being a visual learner, I often draw or visualize the concepts for better understanding and to explain it to my peers. My broad interests are in: Deep Learning, Generative models, Unsupervised learning, Computer Vision, Speech, Computational Imaging.
( 3 years )
Applied ML Engineer | SDE-2
Automated Speech Recognition (ASR) team.
Worked on in-house speech recognition model for Hindi language.
Deployed speech Decoder module with extended capabilities into production.
Also worked on Text-to-Speech Deep learning.
Samsung R&D Bangalore (SRIB)
Senior Software Engineer | Vision Research
AI based Image HDR for phone camera (Computational Imaging).
Worked on Image enhancement using Deep Learning model. Single image HDR construction.
Customised architecture trained using un-paired images.
Achieved high quality image outputs with low latency.
Software Engineer | Intelligent Camera
Worked on multiple projects for smartphone camera.
Commercialized Super-Slow-Motion for mid-tier smartphones.
Supported advanced selfie features by optimizing image processing algorithms for 2019 Samsung flagship smarphones.
Masters in Computer Science
Upcoming MSCS student with focus in AI & Deep Learning.
B.E. (Hons.) in Computer Science
Undergraduate Research Thesis at the University of Melbourne, Australia.
Teaching assistant - CSF111 Computer Programming
President, ACM student chapter of BITS
Graduated in First Division
Past Highlights & Achievements
(2020) [Link] Global patent accepted. A novel technique & applications of capturing slow motion based videos and images.
(2019) Paper publication; main author. "Deep Demosaicing using ResNet-Bottleneck architecture"
(2019) Software coding competency. Achieved Professional-level coding competency across global Samsung R&D centers.
(2019) Badminton Gold medal, Samsung sports tournament. Represented my team for the singles matches.
(2018) Winner, ExxonMobil Hackathon. Developed novel system to identify images with rule-compliant signage for logo detection & geotagging - all with a simple web portal (PPT).
(2017) Undergraduate Research Thesis at the University of Melbourne, Australia.
(2014) Merit certificate in Mathematics. Top 0.1% of national candidates with 100/100 in Mathematics in the senior secondary board of India.