Hello everyone! 👋

I Am Kiran Sarvana

SoftwareJavaBackendDeveloper

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.

Skills

Education

University of the Cumberlands
Williamsburg, KY, USA
Dec 2024

Master of Science in Information Technology - Online
GPA 4.0

Indiana University of Pennsylvania
Indiana, PA, USA
May 2022

MBA in Management Information Systems
GPA 4.0

The Oxford College of Engineering
Bengaluru, KA, India
Aug 2020

BE in Computer Science Engineering

Sri Bhagawan Mahaveer jain College
Bengaluru, KA, India
Mar 2016

PUC - PCMB

My Resume

You can find my professional details here

Work Experience

Feb 2022 - Present
JP Morgan Chase & Co. | Plano, TX, USA

• 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.

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Software Engineer
Aug 2021 - Dec 2021
Indiana University of Pennsylvania | Indiana, PA, USA

• 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.

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Graduate Assistant
Aug 2019 - Dec 2021
IEEE Photonics Society | Bengaluru, KA, India

• 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.

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Research & Development Intern

Work Experience

Feb 2022 - Present
Software Engineer
JP Morgan Chase & Co. | Plano, TX, USA

• 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.

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Aug 2021 - Dec 2021
Graduate Assistant
Indiana University of Pennsylvania | Indiana, PA, USA

• 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.

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Aug 2019 - Dec 2021
Research & Development Intern
IEEE Photonics Society | Bengaluru, KA, India

• 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.

Read more

My Projects

Highlights

Demonstrating proficiency in Python, Java, IoT, cloud integration, and machine learning, with hands-on experience in developing real-time applications and data-driven solutions.

Developed a real-time currency converter using Python, integrating APIs for live data and building a user-friendly GUI. Explicitly added features for exploring historical exchange rates and visualizing trends, allowing users to compare multiple currencies and observe patterns over time.

Python | Real Time Currency Converter

Created a prototype with Raspberry Pi, Arduino Uno, and sensors for live bus and shelter density monitoring, interfacing with an Android app and website. Applied machine learning algorithms for analysis and provided a cloud-based solution.

IoT ML | Smart Bus Shelter and Connected Buses

Developed a scalable database management system using MySQL to manage hostel rooms, tenants, and billing, with a user-friendly website interface for staff and tenants.

DBMS | Hostel Management System

Built an animated and interactive web portal for a food blogger, using HTML, CSS, Bootstrap, MySQL, and PHP to create a social platform for sharing recipes.

Web | Food Blogging Web Portal

Publications

The Reversible Universal Gate and realization of basic gates in Quantum Dot Cellular Automata

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.

Delineation of connected buses and smart bus shelter by employing IoT and Machine Learning

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.

Quantum Dot Cellular Automata Based RBG to Gray Scale Conversion in Bio-Medical Applications

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.

Honors & Awards

Member of Honor Society Phi Kappa Phi

Issued by The Honor Society of Phi Kappa Phi · Feb 2022

Associated with Indiana University of Pennsylvania

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.