Biography

I am Vrinda Ahuja. I am an M.S in CS student at Columbia University, New York. I worked as an Engineering Analyst at Goldman Sachs, Bangalore. I also write technical articles at GeeksforGeeks platform. I completed my B.Tech in Computer Engineering Department at College of Engineering, Pune. I am inclined to work with Big Data and Explainable AI in the field of healthcare to advance disease prediction like cancer. Apart from developing and coding, I love painting, listening to music and binge watching shows. Feel free to contact me if you are interested in collaborating on a project together or as a freelancer.

I addressed the challenge of efficient DDoS attack detection by minimizing features and model-building time. I developed a extraction algorithm using filter-based techniques and performed supervised learning using the J48 classifier. The system had an 80.5% reduction in the number of dataset characteristics and an 81.2% decrease in the model-build time compared to existing models, with 99.9% accuracy. This research exposed me to feature selection, a crucial step in cancer-detection algorithms, including only the vital features to improve accuracy. The work was published at the 6th ICCUBEA conference - Checkout

Another study I did was based on a different problem I encountered - finding relevant and accurate papers for literature review on the web due to cluttering and inadequate keywords. As a solution, I developed a multi-label classification system to categorize research papers in the computer science domain on the arXiv dataset. I utilized document-level embeddings with SPECTER for the encoding process, enhancing the transformer-based model, and achieved 91.1% precision. The research was presented at IEEE-PuneCon-2023 - Checkout

Other research I performed was to decentralize, digitize and make the process of land registration secure in India since it was completely manual. I worked on creating an end-to-end automated blockchain-based system by keeping the data and transactions secure, and devised a novel approach that integrated the application with a decentralized document storage technology (IPFS) and enabled Ether-based token payments. The research equipped me with technical knowledge vital to how to securely handle large and sensitive biomedical datasets. The work was presented at ICAECC - Checkout

Custom HTTP Server Implementation | Computer Networks, Python, Prometheus, Grafana

• Built HTTP Server from scratch and integrated with OpenAPI strictly following the HTTP/1.1 RFC 2616 and tested using Postman.
• Implemented GET, HEAD, POST, PUT & DELETE methods along with Multithreading, levels of logging, & automated tests.

Kernel Threads implementation in xv6 | Operating Systems, C Language

• Implemented kernel threads in xv6 operating system by adding and modifying system calls for creation of the threads.
• Added userland threading library in the OS with one-to-one mapping and synchronization of threads using ticket-locks.

Internal Implementation of Linux Sort Command | Data Structures & Algorithms

• Developed Linux based Sort command with multiple user options from scratch using C implementing External Merge Sort algorithm.
• Sorts files of any size that cannot fit in the main memory by calculating number of runs and creation of temporary files.

Public Health Monitoring Surveillance System | Dash, Mapbox, Flask, Python, Bootstrap

• Built an interactive Covid-19 dashboard that provides all the updates in all regions of India and World using graphs, plots and maps.
• Integrated the web application with an FAQ chatbot created using IBM trained on Covid data & answers queries regarding Covid-19

Musify Web Application | REST, Django, API

• Built a Django based Web Application utilizing Spotify Developer API endpoints to retrieve information for the logged-in user.
• Provided song recommendations, category playlists, workout tracks, artists and album query information using the Web API.

Columbia University

• Analysis of Algorithms
• Hyperscale Infrastructure
• Applied Machine Learning
• Programming & Problem Solving

College of Engineering Pune

• Data Structure and Algorithms
• Database Management Systems
• Probability and Statistics for Computing
• Software Engineering
• Data Science

Winner - National Level Hackathon (Web-A-Thon) - GITAM University

• My team developed a full-stack application in MEN stack for colleges to reconnect with their alma mater by creating public/private communities in a time frame of 48 hours.
• The application also allowed alumni to keep track of their batchmates and college events.

Winner - Mathematics Quiz Competition - Ramanujan Math Club, COEP

• I won a quiz based on innovative engineering mathematics during an inter-college competition organized by Ramanujan Math Club.

GeeksForGeeks

• Internal Implementation of Linux Sort Command
• Selenium Scrolling a Web Page
• How To Use Kubernetes Labels and Selectors?
• How To Use Dockerfile Best Practices for Efficient Image Building?
• Managing Cron Jobs Using Python
• Check more articles!

Manas Medical and Education Research Foundation

• Worked on building system to filter & classify centralized patient database that helped doctors for efficient diagnosis using the data.

Pune Startup Fest, 2021

• I worked as a part of a team to organize the Pune Startup Fest, facilitating the funding of ₹3.5 crores for startups and internship opportunities for 250+ students.
• I led the accounts portfolio and managed budget, documentation and permissions for all activities of Pune Startup Fest and BHAU’s Entrepreneurship Cell.

Constitution of Institute's Innovation Council - COEP Chapter, 2021

• I worked as a part of an initiative by the Ministry of Education (MoE) to foster a culture of innovation and start-up ecosystem in college.

Society of Women in Engineering (SWE), CoEP

• Organized personality and professional development workshops, keynotes from successful women to promote women in Sci-Tech.

• vva2113@columbia.edu