I’m a passionate Software Engineer with expertise in backend systems and Java development. I enjoy creating scalable, efficient solutions that drive real-world impact, leveraging my strong academic foundation and hands-on experience.
Master of Science in Information Technology - Online
GPA 4.0
MBA in Management Information Systems
GPA 4.0
BE in Computer Science Engineering
PUC - PCMB
• Java developer dedicated to fortifying the backend of the CDA (Chase Digital Assistant) chatbot, with a primary focus on API Development, release planning, seamless implementation, and production release support. Actively engaged in Java Spring boot API development, working towards creating new features for the CDA to enhance its capabilities. My responsibilities include new API development, maintenance, and support on existing APIs, meticulous release planning, seamless implementation, and providing
production release support for these API driven features.
• Successfully transitioned from the Corporate Investment Banking IT department to the Consumer and Community Banking IT department, specializing in Java development.
• Drove impactful research initiatives, fostering collaboration with departmental and faculty members.
• Streamlined administrative functions to enhance efficiency within the academic environment.
• Played a crucial role in crafting and executing strategic plans for successful events and seminars.
• Worked on Quantum Dots and engaged in hands-on experiments with QCA Designer.
• Conducted research and development on various projects related to electrical engineering and computer science.
• Implemented new technology and techniques to enhance system performance and efficiency.
• Java developer dedicated to fortifying the backend of the CDA (Chase Digital Assistant) chatbot, with a primary focus on API Development, release planning, seamless implementation, and production release support. Actively engaged in Java Spring boot API development, working towards creating new features for the CDA to enhance its capabilities. My responsibilities include new API development, maintenance, and support on existing APIs, meticulous release planning, seamless implementation, and providing
production release support for these API driven features.
• Successfully transitioned from the Corporate Investment Banking IT department to the Consumer and Community Banking IT department, specializing in Java development.
• Drove impactful research initiatives, fostering collaboration with departmental and faculty members.
• Streamlined administrative functions to enhance efficiency within the academic environment.
• Played a crucial role in crafting and executing strategic plans for successful events and seminars.
• Worked on Quantum Dots and engaged in hands-on experiments with QCA Designer.
• Conducted research and development on various projects related to electrical engineering and computer science.
• Implemented new technology and techniques to enhance system performance and efficiency.
Demonstrating proficiency in Python, Java, IoT, cloud integration, and machine learning, with hands-on experience in developing real-time applications and data-driven solutions.
Python | Real Time Currency Converter
IoT ML | Smart Bus Shelter and Connected Buses
DBMS | Hostel Management System
Web | Food Blogging Web Portal
International Journal of Scientific & Engineering Research · Sep 1, 2023
Contributed to research on Quantum Cellular Automata (QCA), a prominent nanotechnology among the top emerging technologies. Explored applications for future computer building with a focus on Nano-scale circuit design. Introduced the implementation of basic logic gates in QCA using the Reversible Universal Gate (RUG) within the realm of reversible logic design. Excited about the potential impact of this work on advancing digital computation.
IEEE · Nov 10, 2020
Explored smart bus shelters under the smart city mission in Bengaluru, India’s major IT hub. This research integrates IoT technologies, including smart lights and information kiosks, to enhance the commuting experience. The connected buses provide real-time schedule information, reducing waiting times and minimizing crowd density. The bus shelter utilizes Zigbee Receiver, Raspberry Pi, and IoT modules, sending data to the cloud for real-time analysis against the bus schedule. Implemented machine learning algorithms predict crowd density in advance. An Android app and website have been developed for commuters to access bus information and crowd density, aiding in travel planning.
IEEE · May 4, 2020
Explored Quantum Dot in nano-technology, a leading area with potential applications in future computer construction. Introduced features for image processing, compression, and storage using reversible logic in Quantum Dot Cellular Automata. Implemented a circuit to reduce power dissipation and cell area. Focus on developing efficient logical circuits for reversible gates. Results show a minimal cell area of 0.05μm² per computing element and an average simulation time of 1000ms. Potential applications in biomedical fields for real-time imaging and drug delivery.
Issued by The Honor Society of Phi Kappa Phi · Feb 2022
Initiated at Indiana University of Pennsylvania based on a record of academic excellence. Ranked in the top 10% of Graduate students and outstanding to faculties, professional staff, and alumni who achieve scholarly distinction.
Developed by Kiran Saravana