I'm a Data Scientist based out of Bangalore, India with 3 years of combined research and industry experience.
Currently, I am working with Transformer models for Language Modeling, Sequence Tagging, and other Sequence2Sequence tasks. Previously, I have worked on different Computer Vision projects for object detection, multi-label image classification, and GANs. I have worked with various deep learning techniques from supervised learning methods to few-shot learning strategies.
I am also skilled at micro-service development using Flask and FastAPI, front-end development using ReactJS, back-end development, and deployment with AWS.
✍️ Blogs
📚 Github
→ Python
→ PyTorch
→ Flask
→ Database Management
→ Javascript
→ ReactJS
→ Tensorflow
→ AWS
→ NextJS
→ MySQL, MongoDB, and DynamoDB
Quinnox, Bangalore, India - (Jan 2020 - Present)
Deep Learning engineer in the team responsible for bringing a paradigm shift in the field of automation testing with the infusion of Artificial Intelligence. We're in charge of upgrading the testing platform with human like cognition to understand various testing strategies and test an application.
KrishiHub, Bangalore, India - (Sept 2019 - Jan 2020)
As an intern data scientist I worked on Image Segmentation for plant/crop disease detection using OpenCV and classifying different plant/crop diseases using PyTorch. Moreover, I worked on Time-Series Analysis and forecasting product and quantity level customer demands using regression and classification models.
Indian Institute of Information Technology, Allahabad, India - (May 2019 - July 2019)
As a Machine Learning Intern my task was to apply data mining to find efficient switch clusters among a given network for cost cutting and energy saving purposes. Moreover, I also worked on Multi-Focus Image Fusion for enhancing the quality of images/videos captured by a CCTV.
Qubebiz, Rajkot, India - (May 2018 - June 2018)
As a software intern I was tased to develop a prototype dictionary app for higher level exam preparations. I worked with MongoDB and React Native to build a WordMeanings native application which can run on both Android and iOS.