Hi there

I’m Rithvik, currently pursuing Masters in Computer Science at NC State University. I am actively looking for 2024 software engineering internships and co-ops. Feel free to reach out to me at my email or LinkedIn.

Education

• Master’s in Computer Science

  North Carolina State University (May 2025)

• Bachelor’s in Computer Science

  Vellore Institute of Technology, Vellore (May 2023)

Work Experience

Software Developer (Graduate Research Assistant) @ NC State University (May 2024 - Present)

• Worked alongside 35 others on the OpenPRA platform, a tool to perform Probabilistic Risk Assessment (PRA)
• Migrating the application from REST API to GraphQL to streamline the endpoints on the backend
• Employed TypeScript, React, GraphQL, Nest.js and MongoDB to develop the platform

Open Source Contributor @ Nutanix (Aug 2023 - Dec 2023)

• Collaborated with software engineers to clarify requirements, deliberate design documents and implement solutions using Golang on NDB Operator.
• Developed and tested a new Kubernetes Operator workflow automating the provisioning and management of Postgres HA database on NDB (Nutanix Database Service) via a Kubernetes cluster, reducing operational overhead of managing a database by 4%.

Software Development Engineer Intern @ Petrus Technologies (Nov 2022 - Apr 2023)

• Achieved a 43% increase in machine coverage on IoT platform PetrusConnect by implementing Edge Device Data Collector using Java, Spring Boot and MariaDB.
• Designed and developed UI for displaying vibrations trends in spinning machines with React to identify anomalous behavior.
• Resolved memory leak in Dockerized data collectors causing production failure and ensured 99% uptime.
• Mentored 8 new hires from diverse backgrounds with Git version control and application architecture.

Software Development Engineer Intern @ Podeum (Mar 2022 - Aug 2022)

• Designed REST APIs for loading team and cricketer data on the backend using Java, Spring Boot and MongoDB.
• Leveraged React to develop a portal with the team and cricketer REST APIs to ensure effortless data manipulation.
• Scraped and summarized JSON data of Cricket matches with Python and queried it with S3 Select to boost social media engagement by 20%.

Skills

Languages

Python, Java, Go, C/C++, JavaScript, HTML, CSS, SQL

Frameworks and Tools

AWS, Express.js, Nest.js, Spring Boot, GraphQL, REST API, Git, GitHub, Docker, Kubernetes, Kafka, React, Tailwind CSS

ML Tools and Frameworks

Tensorflow, Keras, Numpy, Pandas, Colab, Jupyter, Robolflow, LangChain, Ollama, Streamlit, Hugging Face

Databases

MariaDB, PostgreSQL, MySQL, MongoDB

Projects

Medical Chatbot

• Developed a RAG app that can answer questions in the medical domain using Python, LangChain and Flask
• Llama2 model answers queries using 7020 embeddings present in Pinecone vector store
• Created embeddings from Gale medical encyclopedia using Sentence Transformer model from Hugging Face

Llama3 Chat

• Developed a chat app that can search the internet using Llama3, LangChain and Streamlit
• Application uses LangChain’s AgentExecutor to chain LLM with Google Search tool
• Agent also has message history to maintain context of conversation and returns response within 5 seconds

Photonic Cavity Classifier

• Trained a CNN model to distinguish successfully/unsuccessfully fabricated photonic cavities.
• Leveraged Roboflow to label and extract each cavity from low-resolution optical images.
• Used Python and Tensorflow to achieve an accuracy of 96.01% using CNN.

Stress Level Detection System

• Led a team of 3 to develop a web app using deep learning for determining stress level of user.
• Implemented a six-layer CNN using TensorFlow and Keras that takes webcam video stream as input.
• Achieved an accuracy of 78.12% and F-score of 77.67% on the model. Leveraged Flask and Python to build web app.

ClassMate

• Brainstormed a simple yet effective solution to conduct online classes for the non-profit, Lend A Hand India.
• Built a portal to manage Zoom classes with MERN stack and Python.
• Hosted on AWS EC2 instance. Improved class time utilization by 17% and attendance by 10%.

UdaConnect

• Refactored Python application from monolith to microservices with gRPC and REST.
• Employed Kafka queues to handle communication between microservices. Orchestrated containers with Kubernetes.
• Refactor improved the scalability of the Flask application by 10%.

DefinitionBot

• Created a Telegram Bot with Express.js, Telegram and Third-Party APIs to get the definition of a word within 3 seconds.

Certifications

Udacity SUSE Cloud Native Architecture Nanodegree

• Certified in managing scalable applications in a cloud native environment, using ArgoCD, gRPC and Grafana.

AWS Cloud Practitioner

• Certified in foundational understanding of AWS Cloud, services and terminology.