Roshan Nayak
@user.2567816
Research Assistant | ML & Signal Processing Engineer
Bangalore, India
Roshan Nayak is an Electronics and Communication Engineering graduate from BMS College of Engineering with a strong academic record and deep expertise in machine learning, deep learning, and signal processing. He currently works as a Research Assistant at the Indian Institute of Science, Bangalore, focusing on model compression techniques for Automatic Speech Recognition systems and air writing detection. Roshan has previously worked at Synopsys and Samsung Prism, and has published research on NLP and meme detection at ICON-2021 and SemEval-2022.
Experience
Research Assistant
Indian Institute of Science
Working on projects related to signal processing and model compression under Prof. Dr. Prathosh AP. Preprocessing Automatic Speech Recognition (ASR) datasets, fine-tuning models, and conducting inferences. Researching model compression techniques including knowledge distillation and quantization to reduce size and latency of ASR models. Also working on Air Writing detection using deep learning of sensor signals.
Research and Development Engineer
Synopsys Inc.
Developed and tested front-end features for the Formality software using C++. Resolved customer-specific bugs. Took responsibility of the handoff consumption process integrating latest dependencies into Formality tool and conducting performance analysis.
Technical Intern
Synopsys Inc.
Developed VHDL test cases to conduct stress testing for the Formality software. Reported software limitations in handling complex VHDL constructs.
Project Intern
Samsung Prism
Worked on generating OCR data for eight low-resource Indian languages. Collaborated in training UNet architecture for image segmentation. Used depth estimation and image processing to place text on images realistically. Assessed dataset quality using open source OCR models.
Data Science Intern
Career Robin
Built data pipeline from scratch using Selenium and Beautiful Soup for real-time web scraping. Processed scraped data and stored in AWS S3. Developed an NLP model to extract required skills from job descriptions and hosted it on AWS EC2.
Education
B.M.S College of Engineering
Bachelor of Engineering
Electronics and Communication Engineering
Relevant coursework: Big Data Analytics, Machine Learning, Image Processing, Probability and Statistics, Data Structures and Applications, Java Programming, Computer Communication Networks.
Licenses & Certifications
Python Programming (3 courses)
University of Michigan
Deep Learning Specialization (4 courses)
deeplearning.ai
Software Architecture and Clean Code Design
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