saurabhkoshatwar Goto Github PK

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.

You can find me on or on .

---



Intelligent-Home-Assistant

It is a smart AI-driven IoT based project that allows you to control your home appliances using Google Assistant.




---



Neuro-Spine Medical Data Analytics

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.


---



My ML Cheat-sheet

Here is all you need to get started with Machine Learning from scratch, including sample assignments, data sets and references!


---