Software Developer

Building specialized systems for niche audiences.

I am Amit Kumar, a Software Engineer (Associate) at Goldman Sachs. I work full-stack across microservices and cloud platforms, turning complex domain problems into reliable, scalable software.

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About

A developer who starts from the user.

As a Software Engineer at Goldman Sachs, I have contributed to Loans and Margin engineering, developing scalable backend platforms, full-stack applications, and production APIs that support critical trading and lending workflows.

Previously, I worked at Barclays and the LearnDialogue Lab, where I combined software engineering and HCI research to build practical, domain-specific tools and interactive systems. One of these projects, an interface that enables middle school students to create their own spoken conversational agents, is featured below.

I enjoy tackling problems that sit at the intersection of people and systems, and turning them into software that is reliable, usable, and built for the people who depend on it.

Featured Work

Work I am proud of

AMBY: AI Made By You

A conversational AI builder for middle schoolers

HCI ResearchUI DesignFull-stack DevelopmentConversational AI

AMBY lets middle school students build their own conversational agents. As the lead developer, I designed the interface and built the full-stack system from the ground up, starting with user research alongside students and teachers to understand how kids think about conversation.

I kept building alongside the students as they used it, refining the system through real classroom and camp sessions including Camp DIALOGS, an NSF-funded program. The work has since led to publications across multiple conferences.

AMBY at Camp DIALOGS

Experience

Where I have worked.

Goldman SachsAugust 2025 - Present

Software Engineer (Associate)

Led full-stack development of a microservice managing entity data within the Loans Agency platform, which facilitates millions of dollars in transactions.
Designed and led an operational dashboard that cut production incidents by ~95% and reduced manual intervention. This freed developers for feature work and enabled clients to self-resolve cases, improving client productivity.
Drove development and enhancement of core margin calculation logic for a cloud-based platform powering margin lending for global wealth management clients.
Worked across Python/FastAPI, React/TypeScript, PostgreSQL, AWS, Java, Kafka, and Sybase, with AI-assisted development tools (Claude, Copilot) embedded in daily workflows.

BarclaysFebruary 2023 - August 2025

Software Developer

Implemented new features in the bank's core risk engine, improving functionality across asset classes and ensuring consistent performance.
Designed a React Dashboard using TypeScript and Node.js, integrating JIRA and TeamCity to deliver real-time metrics and streamline collaboration.
Developed and enhanced Python-based regression testing tools, automating cross-version consistency checks and improving release quality.
Contributed to language bindings implementation using JNI, while utilizing scripting languages like Perl and Lua for fulfilling project requirements.
Utilized technologies including C++, React, Python, Typescript, Node.js, Java, Perl, Lua, JIRA, GitLab, Bitbucket, Docker, and OpenShift.

University of Florida (LearnDialogue Lab)May 2021 - December 2022

Graduate Research Assistant

Lead Software Developer: Spearheaded the creation of a full‑stack conversational AI development web application, AMBY, benefiting over 50 middle school students and providing impactful learning opportunities.
Developed system prototypes, focus group protocols, wireframes, and mockups for multiple research studies spanning around 70 middle school students.
Analyzed and reported results from multiple usability studies, resulting in three conference publications and one journal article.
Leveraged technologies such as React, MUI, Speech recognition, Dialogflow, Node.js, Express.js, MongoDB, AWS, Heroku, Figma, and SPSS.

Georgia Institute of TechnologyJuly 2018

Advanced Study and Research

Built a program to implement parallel programming algorithm on multi core systems using Java’s Fork/Join framework and tested its efficiency relative to single core system performance.
Documented and reported the followed procedure and the testing result for others students to refer to.

Research

Publications

101 citations

Cited by researchers at MIT, Carnegie Mellon, University of Pennsylvania, and NC State, in venues including AAAI, ACM SIGCSE, and ACM Transactions.

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Best Paper Award

A Summer Camp Experience to Engage Middle School Learners in AI through Conversational App Development

39 citations

Gloria Ashiya Katuka, Yvonika Auguste, Yukyeong Song, Xiaoyi Tian, Amit Kumar, Mehmet Celepkolu, Kristy Elizabeth Boyer, Joanne Barrett, Maya Israel, Tom McKlin

Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE), 2023 (2023)

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AI Made By Youth: A Conversational AI Curriculum for Middle School Summer Camps

28 citations

Yukyeong Song, Xiaoyi Tian, Amit Kumar, Joanne Barrett, Maya Israel, Kristy Elizabeth Boyer

AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI), 2023 (2023)

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AMBY: A Development Environment for Youth to Create Conversational Agents

25 citations

Xiaoyi Tian, Amit Kumar, Carly E. Solomon, Kaceja D. Calder, Gloria Ashiya Katuka, Yukyeong Song, Mehmet Celepkolu, Lydia Pezzullo, Joanne Barrett, Kristy Elizabeth Boyer, Maya Israel

International Journal of Child-Computer Interaction, vol. 38, 2023 (2023)

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Early Design of a Conversational AI Development Platform for Middle Schoolers

9 citations

Amit Kumar, Xiaoyi Tian, Mehmet Celepkolu, Maya Israel, Kristy Elizabeth Boyer

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2022 (2022)

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Citation counts from Google Scholar, updated October 2026.

Skills

What I work with.

Programming Languages

PythonJavaTypeScriptCC++

Frameworks & Technologies

ReactNode.jsFastAPISpring BootKafkaDockerGit

Data

PostgreSQLSybaseMySQLMongoDB

Cloud

AWSGoogle CloudOpenShift

Education

Where I studied.

University of Florida

Master of Computer Science

2021 – 2022 · GPA: 4.0/4

Bennett University, India

Bachelor of Technology (Computer Science Engineering)

2017 – 2021

Contact

Let us build something good.

I am always interested in new problems, interesting systems, and good people.

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