Software Developer | Full-Stack Engineer | AI & Machine Learning Enthusiast
I am currently pursuing a Master of Science in Computer Science at Texas A&M University, with a solid foundation in software development, machine learning and AI.
With over two years of hands-on experience at Oracle as a software developer, my expertise spans across data structures, algorithms and full-stack development, with a deep understanding of microservices architecture, distributed systems and enterprise application development. I’ve led projects that significantly boosted API performance, improved UI frameworks, and streamlined backend processes.
My technical toolkit includes languages like Java, C++, Python, SQL, JavaScript and technologies such as Docker and OCI.
In addition to industry experience, I have a passion for research, particularly in AI and machine learning. I’ve published work in areas such as autonomous driving and computer vision applications, and I look forward to new ventures & research opportunities in this domain.
Software Developer (August 2022 - August 2024)
Developed Clinical One, an eclinical solution, unifiying people, processes and data to simplify and accelerate modern clinical trials.
Full-Stack development in a microservice based architecture, where I optimized API performance by 300% through a distributed cache system using Akka and improved UI efficiency through new VDOM framework by 40%. Additionally, I led a team to boost code coverage for multiple microservices to over 80%. My work focused on full-stack development, microservices, and system performance.
Software Developer Intern (January 2022 - July 2022)
Conducted a POC replacing RESTful web services with WebSocket connections, integrated redux for state-management and thereby improving data refresh rates by 40%.
Master of Science in Computer Science (August 2024 - May 2026)
College Station, Texas, United States
Bachelor of Engineering in Computer Engineering (July 2018 - June 2022)
Patiala, Punjab, India (CGPA: 9.67/10)
Published at IEEE SITIS 2023.
Developed a vision-based deep neural network for predicting vehicle trajectories in autonomous driving scenarios.
Presented at ICBDAIA 2023.
Designed an AI model for identifying cyclists in aerial imagery, enhancing detection accuracy for traffic management systems.
End-to-End security solution featuring a door lock/unlock system, real-time anomaly detection and video streaming service.
A LSTM powered music generator using notes sequence.
A Passenger facilitation system using AI and ML for the Airport Authority of India. Designed and Developed at Smart India Hackathon(2020).
Collaborative image captioning system with 83% accuracy using CNN, RNN, and transfer learning.