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Hi,
My name is Amogh Kuppa,
an aspiring
_

Who am I?

Hi! My name is Amogh, and I am an aspiring developer with a passion for designing, planning, and building innovative solutions that drive business success. I have a proven track record of contributing to a wide array of projects, from the personal to enterprise level, using a wide range of technologies, including React.js, Python, Golang, Node.js, Swift, LangChain, and more. My passion lies within full-stack web development, machine learning, and mobile app development. I am always eager to collaborate with professionals to create impactful projects that address real-world business challenges. If you're looking for a motivated and skilled developer to join your team, please feel free to reach out!

Amogh Kuppa
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Education
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Bachelor's Degree

The Ohio State University

Major: Computer Science and Engineering

Minor: Business

GPA: 3.74/4.0


Involvements

Integrated Business and Engineering Program - Software Innovation Track: Selected as 1 of 36 students from the College of Engineering to receive mentorship and develop essential skills and experiences within software innovation and startups


Morrill Excellence Scholar: Awarded a full tuition scholarship by the Ohio State University for academic talent and engagement in diversity-based leadership, service, and social justice activities


Other activities

  1. • Collaborative Software Development Club
  2. • DEV
  3. • Artificial Intelligence Club
  4. • OHI/O
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Experience
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(May 2025)

Incoming Software Engineer Intern

Meta


Incoming Software Engineer Intern at Meta for Summer 2025.

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(Sept 2024 - Present)

Software Engineer Intern

Calendall


Developing scalable appointment management software using Angular, TypeScript, and AWS, driving 30% monthly user growth and optimizing booking infrastructure for 200+ cosmetics industry clients.

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(May 2024 - Aug 2024)

Data Science Intern

GE Aerospace


Developed Retrieval Augmented Generation (RAG) pipelines using LangChain, Python, Pandas, and AWS to enhance an internal Generative AI application, migrated from OpenSearch to PG Vector for improved semantic retrieval, and implemented an advanced reranker system to optimize the relevance of context provided to the Large Language Model.

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(Sept 2023 - Feb 2024)

Software Engineer Intern

Ohio Supercomputer Center


Developed and optimized full-stack Ruby on Rails applications with enhanced query optimization and caching, while implementing Linux-based solutions like kernel optimizations, automated resource allocation scripts, and advanced system monitoring tools to improve HPC cluster efficiency and reduce downtime.

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(May 2023 - Aug 2023)

Technical Product Development Intern

Comet


Played a vital role in product development by providing critical UI/UX feedback, leading marketing research efforts to increase customer satisfaction, and collaborating cross-functionally to develop effective strategies, streamline test plans, and improve time-to-market for new feature releases.

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(June 2022 - Sept 2022)

Software Engineer Intern

DRIVEN-4


Developed Flask applications for data analytics, project management, and customer relationship management, ensuring high availability and performance, and optimized data retrieval and storage mechanisms for both relational and non-relational databases, significantly improving system transaction handling capabilities.

Projects
Breathe Easy
constproject={
name:'Breathe Easy',
tools: ['Tensorflow, Swift, SwiftUI, Python, FireBase, OpenWeatherMap],
Description: Breathe Easy is a mobile application that assists users with asthma management through deep learning by monitoring 10+ asthma triggers at 96% accuracy, constantly predicting a user's asthma control score in real time. The application is inspired from the widely used asthma control test, created by the american lung association to serve as an easy way for people to monitor their asthma control. Breathe Easy automates this test with a Deep Learning model, so users can reliably check their asthma control whenever they need to. Second place winner amongst 200 competing projects and 800 participants at Ohio's largest hackathon.,
};
Hyperpedia + Hypertro
constproject={
name:'Hyperpedia + Hypertro',
tools: ['React.js, Tailwind CSS, TypeScript, Google Gemini API, Node.js, Express.js],
Description: The Hyperpedia is a full-stack gym encyclopedia with all the information needed to become well-versed in hypertrophy training. Has an interactive muscle diagram to easily navigate to all the major muscle groups. Each muscle page includes reliable information sourced from research publications as well as relevant exercises with video demonstrations. Hypertro is an integrated chatbot that is prompt engineered to address hypertrophy and weightlifting related inquiries. Powered by Google Gemini.,
};
Golang + DynamoDB CRUD API
constproject={
name:'Golang + DynamoDB CRUD API',
tools: ['Golang, Amazon DynamoDB, Chi Router, Ozzo Validation],
Description: This project is a robust CRUD API with Go and DynamoDB for seamless Create, Read, Update, and Delete operations. Go serves as the development foundation, while data persistence leverages DynamoDB's scalability. The focus is on building a secure and resilient solution with features like robust error handling, security measures, and logging functionalities. For an enhanced user experience, the project explores functionalities like CORS and health checks, along with recovery mechanisms for unexpected errors. Finally, the project prioritizes code maintainability through a well-organized, modular structure with interfaces for reusability.,
};
ZoomGage
constproject={
name:'ZoomGage',
tools: ['TensorFlow, YOLO, MediaPipe, OpenCV, Firebase, React.js],
Description: ZoomGage is a video conference platform that assesses the live engagement level of participants as a whole using computer vision at 99.7% accuracy. Two models, YOLO and Mediapipe, were fine-tuned to assess the drowsiness level and to monitor facial landmark position to determine if a participant was drowsy, looking away from the screen, or yawning. These metrics were then weighted to create an engagement score, which is then displayed in real time to the meeting host, encouraging hosts to make meetings more engaging. First place winner amongst 50 competing projects and 200 participants at Ohio's premier AI hackathon.,
};
OmniDoc
constproject={
name:'OmniDoc',
tools: ['Django, PostgreSQL, OpenAI API, LangChain],
Description: OmniDoc is an AI-driven voice-to-voice medical screener designed to improve healthcare accessibility by gathering patient information before doctor appointments. It conducts secure, pre-appointment screenings by asking about demographics, symptoms, and medical history, creating a comprehensive report for doctors. Achieved a 1st place victory at HACK OH12O among 1,400+ participants, and awarded $5,000 in funding towards the project's development from the Best of Student Startups entrepreneurship program.,
};
Skills

Contact me!

If you have any questions or concerns, please don't hesitate to contact me. I am open to any work opportunities that align with my skills and interests.

amogh.kuppa9@gmail.com

6149569814

Columbus, OH