Introduction:
I am Agrim Jain, 22, from Bangalore, India. Currently I am pursuing Integrated Master’s programme in Computer Science and Engineering with Specialisation in AI-ML from one of the topmost colleges in India, International Institute of Information Technology (IIIT -Bangalore). My interests are machine learning, full stack development and VR development.
**Achievements: **
- Winner of Smart India Hackathon 2022
- 2nd Place in BigTechProject 2022, a VR Hackathon x DP World in Dubai.
- 2nd Place in Hack The Metaverse IEEE Hackathon.
- Selected for Amazon ML Summer School 2022.
- Part of the Dean’s Merit List 2020-21 at IIIT-Bangalore.
Work Experience
I have recently completed my internship at Oracle as a Project Intern in July 2023. I worked for 2 months on “Predictive Failure Analytics” project in the OCI team. The project was about predicting and detecting symptoms for critical errors in advance so that preventive measures can be taken to evacuate the hypervisor. I worked on pre-processing and analysing different types of hypervisor logs to identify templates and eventually find out patterns than lead to critical errors, so that errors can be predicted in advance. Tech used : Python, AI-ML, Jupyter, Linux.
I worked as a machine learning Intern in a private tech startup ”Logituit” from June 2022 to July 2022 where I worked on watch history based recommendation systems.I devised a new approach which further enhanced the performance of Neural Collaborative Filtering model on recommendation based on watch history and user preferences.
I worked as a machine Learning Research Intern under the guidance of Prof. Ramesh Kestur (adjunct faculty at IIIT-B) from May to Sept 2022. I worked on the project titled “Differentially Private Federated Learning Framework for Analysis of Gigapixel Histopathological Whole Slide Images”. This project entails creating a Federated learning (FL) framework where the dataset of gigapixel whole Slide Im- ages (WSI) distributed across servers is used to build Convolutional Neural Network (CNN) models to detect malignancy in WSI. Data from the Cancer Genome Atlas (TCGA) was used for the detection of Low Grade Glioma(LGG) and High Grade Glioma(HGG).
I worked as a Full Stack Developer Intern in a startup Matchday.ai. I Worked on statistical and video analytics of badminton matches. I Build algorithms and backend logic for rating players on various aspects like attack-rating etc. Technologies used: JavaScript, React.js, Selenium, OpenCV, Node.js, MongoDB, AWS.