Deepak Karkala¶

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After graduating in Electronics and Communication Engineering from RV College of Engineering, I worked as a Junior Research Fellow at Indian Institute of Science Bangalore, and worked on developing efficient algorithms for image reconstruction in Diffuse Optical Tomography.
I then joined Signalchip Innovations, a semiconductor startup in Bangalore, where I worked on signal processing algorithms for wireless communication (WCDMA, LTE).
In 2018, I completed Masters from EPFL Switzerland with a focus on Machine Learning and Data Science. For my thesis project, I worked on data analytics and anomaly detection in IoT sensor data.
I then worked remotely as a Data Engineer for eSMART Technologies, a Swiss company in home automation and building management.

Generative AI
Large Language Models Training
Computer Vision
- Image Segmentation Application for Ecommerce Websites Aug 2020 Scraping, transfer learning, Tensorflow, Mobilenet, deep learning
Natural Language Processing
- Listing description based Semantic Search for Airbnb Sep 2020 NLP Pipeline, Topic Modeling, Docker, Flask, A/B Testing
Machine Learning
- Predictive Price Modeling for Airbnb listings Sep 2020 Feature Engineering, Predictive Modeling, Scikit Learn, Docker, Flask

Patents
- Method and system for symbol level interference cancellation at a receiver for multiuser detection: Signalchip Innovations 2017
- Method and System for Performing Optimized Channel Estimation: Signalchip Innovations 2016
Publications
- Data-Resolution based Optimization of the Data-Collection Strategy for Near Infrared Diffuse Optical Tomography: IISc - Medical Physics 2012
- Mesh simplification based on edge collapsing could improve computational efficiency in near infrared optical tomographic imaging: IISc - IEEE JSQTE 2012