Graduate Student at TAMU Summer Intern at LinkedIn Senior Engineer at Western Digital
More About MeWelcome to my personal website, which highlights some of my research and development projects as well as my personal hobbies.
In Computer Science Domain, My broad area of interest lies in the fields of Machine Learning, Deep Learning, Natural Language Processing and their far reaching applications in Healthcare, Computer Vision, Reinforcement Learning and their intersections
In terms of development, I'm interested in developing both front-end and back-end code in order to construct full-stack user apps.
I am currently pursuing my Masters degree in Computer Science at Texas A&M University, College Station. I worked as a Site Reliability Intern in Linkedin for Summer 2023 where I handled Real Time Automation with SQL Database to solve Conflict Resolutions across Data Centres. Before beginning my graduate studies, I was employed as a Senior Engineer at Senior Enginner for Western Digital, Bangalore where my responsibilties are driving FW Modules from design to development and integration stages for new Memory Technologies.
Prior to this, I obtained a Bachelor's in a Computer Science degree with Honors in Machine Learning and Data Analysis from Thapar Institute of Engineering and Technology. During my Undergrad, Focussed on Machine Learning, Artifical Intelligence and got Skilled in Java, Android Development, Python, Data Analysis, and R. Love to solve challenges and always eager to learn something new be it online courses or life necessities like cooking
My whole CV (LONG) can be found Here. My one-page resume (SHORT) can be found Here.
Have a look at my blogging website where I explore cutting edge technolgies and their implementation. Bussie
May 2023 - Present
Working as a Summer Intern at LinkedIn where I am handling Real Time Automation with SQL Database to solve Conflict Resolutions. For the most part, the MySQL team does not have any awareness of several incidents of data divergence due to bugs unless reported by our users. Hence designed a automation framework to detect and report such discrepancies.
August 2022 - Present
Investigating bottlenecks in Data Processing of Synthetic Aperture Radar for Satellites and Optimizing code to fast-track enormous matrix computations using algorithms and parallel computing.
July 2019 - July 2022
Involved in developing Robust Firmware to efficiently use Defective Memories. Bring up of Diagnostics Framework to enhance debuggability. Development of XOR Framework to accommodate new memory Design Defects and enhance Error Handling Capability
Jan 2019 - June 2019
Involved in Development of Diagnostic Framework in order to bypass Firmware Path to increase debug capacility in later stages of SSD Development
June 2018 - July 2018
Developed a Performance Counter Framework to help developer analyze defects in coding schemes. Analyzed results of this framework to optimize and remove the bottleneck in SSD Firmware
August 2020 - July 2022
Managed family business Pushap Industries by directing manfacturing workforce along with coordinating supply chain.
August 2022 - Present
Pursuing my Masters in Computer Science with Specialization in Machine Learning (Running CGPA 4.0)
July 2015 - July 2019
Graduated with specialization in Machine Learning and Data Analysis with CGPA 9.62 and Gold Medalist. Worked with Professors as Research Fellow.
April 2013 - March 2015
Graduated with Distinction and National Scholarship Holder
Till 2013
4th Position in District Level ICSE Examination
May 2016 - July 2016
Completed Training in Advanced JAVA with focus on Advanced JAVA Concepts and Frameworks like Spring
Summer 2017
Successfully completed Training comprising of Java Basics, Anroid Basics,Android UI and Hardware Modules
2016-2021
Completed Excel Essential Training Office 365 and Excel Advanced Formula and Functions.
Completed NLP Essential Training along with Advanced NLP for ML.
Completed Practical PHP Course : Mastering Basics and Code Dynamic Websites.
Completed Natural Language Processing with Classification and Vector Spaces.
Completed Neural Networks and Deep Learning
Completed ML Hands on Course focussing on Classification, Clustering , Regression Models and other Concepts on NLP,AI.
Completed Mastering Data Structures and Algorithms course focusing on Linked Lists, Trees, Graphs, Recursion and Algorithms.
Completed IOT Course with focus on RasperryPi, Arduino Development.
2021
Published - International Conference On Computational Vision and Bio Inspired Computing
2021
Research Internship under Dr. Matthew Caesar(UIUC) to create ExplainNet System
2021
Accepted - International Conference on Advancements in Computing, Communication and Technology
June 2018
Presented Research Paper for Autonomous Tagging of Stackoverflow Questions.
2019
Participated in Hackathon organized at Western Digital with idea of Distributed Faster Events Parsing using MapReduce(Hadoop).
2020
Participated in Innovation bazaar 2020 with idea for Data Deduplication to imporve Storage Utilisation
Jan 2021
Scored 326/340 (Quant : 169/170, Verbal : 157/170)
Feb 2021
Scored 101/120
TRAVELIX is a personalized travel recommendation system that provides recommendations to users based on their preferences and travel history. The tool will analyze user preferences and destination data (granular to State level) to recommend Restaurants, Hotels and Nightlife that match the user's preferences.
The app handles the student applications for TA positions in the computer science department with various functionalities of the hiring manager, professor, and student.
Perform Network optimization by implementing a network routing protocol using the data structures and algorithms such as Graph, Heap, Make Union find.
AI as a humanoid to solve various challeneges, tasks and coding problems. App is live at https://aicodexaviva.vercel.app/.
We implemented various techniques such as XGBoost, Boruta, Nested CV to do supervised learning task on dataset consisting of 500 features and 1000 samples. For unsupervised clustering problem, we implemented five clustering algorithms, K-means, hierarchical clustering, DBSCAN, Gaussian mixture models (GMM), and OPTICS algorithm on the given dataset that had 784 dimensions.
Utilize Natural Language Processing to summarize a source of data (webpage, Wikipedia, PDF); Results delivered via e-mail
Application to translate image text to user specified language; Uses OCR to covert image to text; Translation API’s; TTS to convert translated text to audio
Build a Humanoid to function as a ChatBot using TensorFlow; Identify objects using OCR, perform functions such as Personalized AI and help in interview preparation
Management portal for e-commerce websites for inventory management. Displays all products which can be brought together in a specified budget
Developed Buggy using ultrasound and other sensors to detects objects and takes appropriate turns/actions.
Developed Website using HTML,CSS and JS as forntend porject for Himachal Tourism.
Detection of bacteria using Convolutional Neural Network Deep Learning Techniques
Allows admins to mutate and manage employee details; Allows portal access and management to employees
Predict influence of celebrities during elections using sentiment analysis on Retweets of their followers.
Reville Ranch, Bryan
Texas, USA
77801
rishahbassi10@gmail.com
Phone: +1 (341) 345-7799