A passionate software developer with a knack for transforming the ordinary into extraordinary. Whether it's optimizing legacy systems or diving into cutting-edge technologies, my journey is a fusion of innovation and excellence. Here's how you can connect and explore more about me:
- Explore my coding projects and insights on GitHub.
- Stay updated with my professional journey on LinkedIn.
- Optimize your development experience with my VS Code Configuration.
Currently pursuing a Master's in Computer Science at Illinois Tech in Chicago, my journey involves a blend of building and continuous learning. Here's what I'm currently focused on:
- Engaged in exciting fullstack projects.
- Exploring various tools and libraries to enhance my skill set.
- An early riser, always driven and continually learning in the dynamic tech world.
- Designed and implemented an OS-agnostic throttling capability in a C#/.NET query engine middleware, released as a NuGet Package, which reduced server loads by 20% and query response times by 30%, and enabled dynamic configuration for selective throttling, improving system efficiency by 10%.
- Integrated Prometheus and developed Grafana and ELK dashboards for IM Connect Pub Sub and IMCPS Rest, while automating Kafka Lag metrics collection using a Python script on GitHub Runner, which enhanced monitoring and system observability by 25%.
- Developed microservices using Golang and Java, seamlessly integrating them with AWS Dynamo DB, SQS, SNS.
- Orchestrated deployment on AWS through streamlined processes using AWS CodePipeline.
- Initiated career at Oracle, focusing on service development for credit card and loan applications using Java and MySQL.
- Deployed applications on the Oracle Cloud using GitHub CodePipeline.
- Awarded the GEM accolade for spearheading the implementation and successful release of the Unified Order Management System @Swiggy.
- Honored as a RISING STAR for delivering outstanding contributions to the Oracle Banking Platform project @Oracle.
- Favorite anime: Death Note.
- Childhood dream: Aspired to be a Doctor.
- Tech Transition: Enjoys using Mac after switching from Windows.
- Creative Passion: Avid about Sketching, Painting, and Digital Art.
- Developed a CNN model using TensorFlow and Keras to classify X-ray images into medical categories with 92% accuracy, improving diagnostic efficiency on the NIH Chest X-ray Dataset.
- Deployed the model in a Flask-based web app on AWS Elastic Beanstalk, enabling medical professionals to upload images and view predictions, reducing diagnostic time by 20%.
- Crafted a web potion for shared expenses, reducing manual tracking efforts by 20%.
- Forged a NIDS system with a decision tree ML algorithm, guarding against network traffic attacks.
- Co-authored a spellbinding paper on "Network Intrusion Detection System using Machine Learning" in Springer's ‘Algorithms for Intelligent Computing.’
- 🧙♂️ Languages: Java, Go, Python, C++, HTML, CSS, JavaScript.
- 🛠️ Frameworks/Technologies: Spring Boot, Pandas, React.js, MySQL, Dynamo DB, Redis, Kafka, AWS (EC2, S3, Lambda).
- 🧰 Tools/Methodologies: Postman, Git, GitHub, SVN, Bitbucket, Maven, Gradle, Agile, Selenium, Junit4, Mockito, Docker.
Join me on this magical journey of code, where every line is a spell, and every commit is a potion! Let's create digital wonders together. ✨🚀