Passionate programmer who is keen on exploring opportunities.
I am a Master’s student in Computer Science at Georgia Tech and have three years of industy experience as a Software Development Engineer II at Rakuten Symphony. My interests span across software engineering, distributed systems, data science, and open source technologies. I am passionate about building scalable, secure systems that create real-world impact. Outside of work, I enjoy playing chess and hold an international FIDE rating. I am also a avid trekker and a half marathoner. I’m driven by a continuous desire to learn, contribute, and apply computing for the advancement of society.
Georgia Institute of Technology
GPA: 3.7/4
Pune Institute of Computer Technology
GPA: 9.3/10
“Virtualization in Cloud: A shift from Hypervisor to Containerization” – IJCSP
“Credit Card Fraud Detection Through Anomaly Detection” – Emerging Tech Foundation
Developed a classroom platform (Kaksha) for remote learning. [Link]
Worked on CMS report automation and secure backend systems.
Published 25+ articles on DS, Python, and algorithms. [Articles]
Event-Driven E-Commerce Platform – Built with FastAPI, Django, C#, Azure, and pub-sub model.
Stock Market Prediction – NLP + LSTM-based model predicting trends from financial news.
AutoCertify – Bulk certificate generator using Python, SMTP, and Excel automation.
Omdena iRAP Project – CV-based road safety analysis with YOLOv3 and panoramic data. Promoted to Lead ML Engineer.
My Projects
A python project which reads the excel sheet and forms the certificate from given template and then sends it to the participants via Email from the corresponding column in excel sheet.
Credenz Tech Dayz Official Website 2020, developed using HTML 5, CSS 3, bootstrap 4, Javascript, & JQuery Link to the official website is http://ctd.pictieee.in/
Universty Admission Prediction using Machine Learning, it predicts a certain student with particlar GRE, TOFFEL, GPA etc gets the admission in an university of a given rating or not.
Project on Exploratory Data Analysis of COVID 19 in India, China, Spain, USA and Italy. Project shows further predictions, visualizations, Rate of infections, highest peak, lowest peak, etc of COVID 19 in the above mentioned countries.
Project based on OpenCV, Computer Vision for detecting Social Distancing during a pandemic.
Used CNN in keras for hand writtern recognition system. Trained model using algorithms like neural network, tensorflow at backend, keras for models and layers, and numpy module. Implemented regularization to avoid overfitting.
My Acheivements
Contact Me
Dhankawadi, Pune, India
rutujakawade24@gmail.com
+91 9112078781