Work Experience
My Professional Journey at Oracle
In my first year at Oracle, I had the privilege of collaborating with my mentors on a large-scale wholesale project. I was involved in delivering over 13 complex business requirements using OJET and Node.js. I am committed to continuous learning, and as a result, I took the initiative to explore Oracle Cloud Infrastructure (OCI), earning six key certifications, including OCI Foundations Associate and OCI Gen AI (Professional).
As I transitioned into my second year, I was honored to be one of the first billables in my cohort, joining the PPC Retail Project as a DBX OAP developer. My role expanded to full-stack development, working with technologies like OJET, Node.js, BRM, and Oracle Event Processing (OEP). Initially, I was inundated with new information, but through perseverance and dedication, I quickly adapted. I self-learned the intricate system design and codebase, leveraging the guidance of my team leads, ensuring I delivered high-quality results.
What I value most is not just learning but sharing that knowledge. I contributed to the team by writing technical articles on GBU Confluence, which were referenced by peers encountering similar challenges. I also played an instrumental role in onboarding four new members to the project, ensuring they integrated smoothly into the team.
Additionally, I took the lead in the Performance Evaluation and Prediction (PEP) project, managing a team of three employees across different time zones. This project refined my leadership, coordination, and code integration skills, allowing us to achieve seamless cross-regional collaboration.
Research Internship
During my research internship, I developed the National Mutual Funds Performance Prediction Model, contributing to the backend of the Mutual Funds Performance Analyzer Tool designed to assist financial advisors.
My primary focus was optimizing the model for the Indian stock market, successfully tuning over 40 hyperparameters across various algorithms, including ARIMA and XGBoost. The model achieved a performance accuracy of 96.2% under normal conditions and 76.03% during simulated crises.
This experience reinforced my passion for exploring AI and ML applications in fintech.
Publication
1. Forest Fire Detection using RCNN and UAV drones. (ICEPTP'22, Lisbon, Portugal)
During my sixth semester, I was struck by a report detailing the devastating forest fires in Europe, the Middle East, and North America, which had scorched an alarming 900,000 hectares of land that year. Around the same time, my father conveyed the distressing news that our small countryside farm was also impacted by these fires. This realization ignited a deep urge within me to contribute meaningfully toward solutions that could prevent such catastrophes in the future.
Driven by this motivation, I immersed myself in studying the various factors and causes of wildfires. I took the initiative to visit affected sites, personally collecting video and photographic data. Armed with this firsthand insight, I began developing a Convolutional Neural Network (CNN) model, leveraging the skills I acquired in my computer vision class.
With the invaluable guidance of my professors, I devised a groundbreaking hyperparameter, the RTH index, which integrated humidity and temperature features captured simultaneously by a UAV drone. By incorporating visual data from a camera, I enhanced the RCNN model's capability, ultimately achieving an impressive classification accuracy of 93% for forest fires. Determined to share my findings with the broader scientific community, I published a research paper on this project and proudly presented it at ICEPTP'22 in Lisbon, Portugal. The work subsequently gained recognition and was published in the proceedings of the 7th World Congress on Civil, Structural, and Environmental Engineering (CSEE'22).
These experiences have deeply fueled my passion for developing innovative solutions that tackle real-world challenges. I am committed to creating significant, lasting impacts on the lives of those around me, and I believe that with continued dedication, we can advance toward a future where such devastating events are prevented.