I'm a Software Developer, Machine Learning - Deep Learning Enthusiast and a Bot Hobbyist.
I am a graduate student at the University of Southern California pursuing a master's in Computer Science specializing in Data Science. Actively seeking Summer'22 software engineering/ML Internships.
I worked as a Software Engineer at ‘CLSA Technology & Services LLP’ for 2 years. I worked on and delivered several features for the system which had in-memory distributed computing architecture. During my time at CLSA Technology & Services, I worked on technologies like Java, Python, Spring, MongoDB, Redis Oracle DB, PostgreSQL, Apache Spark, Apache Camel, Apache Kafka. and Liquibase.
I completed my bachelor’s in Computer Science at Vishwakarma Institute of Information Technology. I graduated with a CGPA of 8.8/10 and was a merit rank holder (in the top 10 of over 300 students in my batch).
As a Machine Learning - Deep Learning enthusiast I have worked on a few projects like Dementia diagnosis, Product quality detection based on customer reviews and VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection, .. working on such projects gave me a comprehensive experience of end-to-end ML development and deployment processes.
I enjoy participating in hackathons.
- I secured 3rd rank in the HackerRank global coding competition.
- Received a grand prize of £ 250 & pilot grant of £ 10,000 for being 3rd out of 30+ teams across Los Angeles and London in NeuroHack Hackathon 2022.
It is a smart AI-driven IoT based project that allows you to control your home appliances using Google Assistant.
A system that assists doctors and patients get effective analysis and deeper insights about the issues raised due to poor body posture and also provides a detailed analysis related to various problems occurring at different spinal regions and would also suggest effective remedies to temporarily overcome the pain in the affected regions.
Here is all you need to get started with Machine Learning from scratch, including sample assignments, data sets and references!
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