Google

Software Engineer

reduced documentation search time to under 30 seconds

Built a chatbot template for 3+ teams using LlamaIndex that reduced documentation search time to under 30 seconds.

using Docker and Flask to handle data ingestion

Engineered a dashboard using Docker and Flask to handle data ingestion, enhancing operational efficiency by 30%.

driving 80% of the school’s social media related interactions

Utilized responsive design to increase mobile accessibility, driving 80% of the school’s social media related interactions.

25% user engagement boost and 15% higher player satisfaction

UI optimization, level design, prefab creation, and robust analytics

Elevated gameplay through UI optimization, level design, prefab creation, and robust analytics, driving a 25% user engagement boost and 15% higher player satisfaction.

increase in user engagement and a significant drop in bounce rates

comprehensive website redesign, focusing on intuitive navigation and user-centric design

notable increase in user engagement and a significant drop in bounce rates

Spearheaded a comprehensive website redesign, focusing on intuitive navigation and user-centric design, leading to a notable increase in user engagement and a significant drop in bounce rates.

Revamped the employee web portal and iPad application with React, JavaScript, CSS, and HTML, achieving a 50% reduction in load times and improvements in user satisfaction.

web scraping application with the Flask framework

Developed an efficient web scraping application with the Flask framework to fetch and update live prayer times from the University of Southampton ISOC website used by 500+ society members.

using Flask, which facilitated web scraping to deliver real-time prayer times, integrating stream processing for efficient data management

Developed RESTful API endpoints using Flask, which facilitated web scraping to deliver real-time prayer times, integrating stream processing for efficient data management, ultimately achieving an API response time of 150ms.

20+ responsive web pages, enhancing user engagement by 30%, reducing page load times by 25%

using HTML5, CSS3, JavaScript, jQuery, Angular, and ReactJS

enhancing user engagement by 30% and reducing page load times by 25%

Developed 20+ responsive web pages using HTML5, CSS3, JavaScript, jQuery, Angular, and ReactJS, enhancing user engagement by 30% and reducing page load times by 25%.

achieving a 30% increase in transaction speed

Created an e-commerce site using JSP, Servlets, and EJBs, achieving a 30% increase in transaction speed.

to Java based microservices deployed on AWS EC2 using Docker

Migrated monolithic applications to Java based microservices deployed on AWS EC2 using Docker, achieving a 40% reduction in deployment time.

5 diverse datasets, average prediction accuracy of 90%

achieving an average prediction accuracy of 90%

Implemented K-Nearest Neighbors (KNN) and Neural Networks in Python, training and analyzing both algorithms on 5 diverse datasets, achieving an average prediction accuracy of 90%

achieving an accuracy of 96% in classifying handwritten digits

Developed and trained a Convolutional Neural Network (CNN) using PyTorch on the MNIST dataset consisting of 60,000 images, achieving an accuracy of 96% in classifying handwritten digits

20% improvement in application scalability and reduced server response times

implementing network protocols (TCP/IP, UDP) and Kubernetes for container orchestration

Optimized system performance by implementing network protocols (TCP/IP, UDP) and Kubernetes for container orchestration, resulting in a 20% improvement in application scalability and reduced server response times.

an AI-powered application that allows users to query information about professors based on communication skills, teaching effectiveness, and subject expertise

Developed an AI-powered application that allows users to query information about professors based on communication skills, teaching effectiveness, and subject expertise, resulting in a 60% increase in user engagement.

Retrieval-Augmented Generation (RAG) with Pinecone for efficient data search and retrieval, and integrated OpenAI

achieving a 95% accuracy in professor ratings

Utilized Retrieval-Augmented Generation (RAG) with Pinecone for efficient data search and retrieval, and integrated OpenAI to provide real-time responses, achieving a 95% accuracy in professor ratings.

Implemented a scalable, user-friendly interface using Next.js, reducing onboarding time by 30% and enhancing the overall user experience.

with Apache Spark and AWS S3, processing vast datasets for training and inference of deep learning models

Automated large-scale data pipelines with Apache Spark and AWS S3, processing vast datasets for training and inference of deep learning models, accelerating AI workflows by handling petabyte-scale data.

scalable web applications leveraging the Django framework

reducing server response times and improving application load speed

Engineered and developed scalable web applications leveraging the Django framework, reducing server response times and improving application load speed for a system handling 500,000 transactions daily.

rigorous testing efforts in collaboration with QA teams, leveraging tools like Selenium and Jest

Led rigorous testing efforts in collaboration with QA teams, leveraging tools like Selenium and Jest to ensure flawless UI performance, reducing UI defects by 15%.