Software Engineer Intern @ Raytheon Technologies

📍 Developed comprehensive software enabling seamless communication among various aircraft infrared sensors, boosting data processing efficiency.

📍 Facilitated the creation of multiple internal C/C++ libraries for sensors, enhancing compatibility, functionality, and end-to-end testing within the software ecosystem.

📍 Improved development processes by implementing Jenkins CI/CD pipelines, automating testing, and deployment processes, while also conducting simulation-based testing on various flight scenarios for regression testing.

AI/ML Research Fellow @ Raytheon Technologies

📍Accelerated the development of machine learning models focused on anomaly detection in network traffic, employing Python, TensorFlow, and Scikit-learn to deploy a scalable solution, resulting in improved cybersecurity measures and network integrity.

📍Researched RSA cryptography using Python scripting to enhance data encryption techniques, while also investigating system vulnerabilities, proposing mitigation strategies, and integrating cryptographic insights into tools like Metasploit to bolster cybersecurity defenses.

Software Engineer Intern @ AstraNav

📍 Authored software for STM32 microcontrollers to control and synchronize multiple magnetic GPS components for data acquisition purposes.

📍 Crafted detailed test cases to conduct regression testing on software, ensuring optimal performance and reliability.

📍 Conducted extensive scenario-based testing on sensor equipped robots to assess sensor performance in varying magnetic field environments around college campus.

Junior Data Scientist @ XLabs

📍 Implemented a recommendation system using collaborative filtering techniques in python with scikit-learn, enhancing user experience by providing personalized product suggestions based on historical interactions.

📍 Utilized regression testing methodologies utilizing TensorFlow and Jupyter to analyze and validate the impact of product updates on performance metrics, ensuring product stability and reliability.

📍 Developed a full-stack application incorporating machine learning capabilities, leveraging Next.js, MongoDB, TypeScript, and TailwindCSS, to provide personalized product recommendations based on user interactions, enhancing user experience and engagement.

investment portfolio optimization

customer segmentation

black-scholes model for pricing options

credit risk prediction

trading bot

personal website