I am a software engineer passionate about the intersection of AI research, privacy, and security. With experience in Generative AI, software development, and data-driven systems, I thrive on solving complex problems and building scalable, impactful solutions.
My long-term goal is to contribute to AI research and development, with a focus on identifying and mitigating vulnerabilities in advanced technologies. Whether through developing innovative software or exploring research challenges, I am committed to creating a safer and more equitable digital world.
At this early-stage startup, I worked with a collaborative team to develop a gunshot detection system, contributing to both backend and frontend development. On the backend, I collaborated and implemented scalable APIs using Node.js and Python, improving efficiency and ensuring secure data handling with JWT authentication and MS SQL Server.
I also contributed to synthetic data generation efforts to simulate diverse real-world scenarios, enhancing the system's testing capabilities and robustness. On the frontend, I helped create UIs using React, Next.js, Material UI, and Tailwind CSS, MapboxGL maps, which helps improve user engagement and experience.
Additionally, I participated in streamlining CI/CD pipelines in Azure, working on deployments and feature rollouts that reduced downtime by 30%. This role allowed me to gain valuable experience across the stack and contribute to impactful, real-world solutions in a dynamic startup environment.
As a Teaching Assistant, I supported professors in courses such as Operating Systems, Software Security, and Object-Oriented Programming Concepts. My responsibilities included mentoring students, assisting with assignments and projects, and automating the grading process using Bash scripts, which reduced manual effort by 40%.
Additionally, I gained hands-on experience with High-Performance Computing (HPC) systems as part of the Operating Systems course. This involved working on Quanah nodes, submit and manage batch jobs on the university's nacona HPC cluster, optimizing resource utilization and streamlining computational workflows.
This role enhanced my ability to simplify technical concepts for students, apply advanced computing techniques, and develop efficient academic solutions.
My curiosity for advanced technologies and security research drove me to explore a range of impactful topics during my graduate studies:
This diverse experience strengthened my skills in quantum computing, security, AI/ML, and HPC, laying a foundation for addressing vulnerabilities in advanced systems.
At Jivass Technologies, I transitioned a monolithic asset-tracking system into a microservices architecture using Python and Django, enhancing scalability and reliability. I contributed to building ETL pipelines for large-scale data ingestion and explored machine learning techniques for anomaly detection on AWS EC2 to improve system insights.
I also worked on a secure OTA update system for IoT devices, ensuring seamless and reliable firmware updates across distributed networks. This role deepened my understanding of integrating software, hardware, and system security while supporting data-driven decision-making through interactive dashboards.
During my internship at ECIL, I developed a GPS tracking system, integrating it with an MIT App to provide real-time location updates. This experience gave me hands-on exposure to IoT systems and embedded systems, where I worked with microprocessors and microcontrollers to design efficient and scalable solutions.
Through this project, I deepened my understanding of hardware-software integration and gained valuable insights into developing real-time systems for practical applications.
Major: Computer Science
Relevant Coursework: Advanced Operating Systems, Artificial Intelligence, Security (Software Security, Cryptography, Network Security, Digital Forensics), Quantum Computing
GPA: 3.66
Major: Electronics and Communications Engineering
Relevant Coursework: Pattern Recognition, Machine Learning, Computer Vision, Embedded Systems
GPA: 3.8
Apart from my professional work, I am deeply interested in exploring advancements in artificial intelligence, quantum computing, and data security. I also enjoy contributing to open-source projects, participating in challenges and staying up-to-date with emerging technologies.
Outside of tech, I love travelling, reading books, experimenting with new recipes in the kitchen, and watching science fiction movies. These activities help me stay creative and balanced in my personal and professional life.