Devansh Guttikonda

Software Engineer @ NVIDIA

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About Me

I'm a software engineer working on CUDA safety at NVIDIA, where I spend my time building systems for AI running on safety-critical platforms. I enjoy taking ideas from rough prototypes to something that actually runs in production, and collaborating with people across the whole build process.

I'm a big believer in using Gen AI as a force multiplier while building software. Tools like Cursor, Claude Code, and Codex are a natural part of my workflow, and I enjoy figuring out how to combine AI-assisted speed with solid engineering.

Outside of work you'll probably find me playing sports, travelling somewhere new, or out on a trek. I tend to thrive in collaborative and exploratory environments.

Get In Touch

I'm always happy to chat about tech, discuss interesting projects, or explore new opportunities. Feel free to reach out!

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Devansh Guttikonda

Experience

Where I've been building, learning, and occasionally breaking things.

NVIDIA
NVIDIA

Software Engineer — CUDA Safety Team

Jan 2025 - Present

Joined as a SPRING Intern on the OpenCL Driver team and transitioned to full-time on the CUDA Safety team. Building projects for safety-critical autonomous driving platforms.

SE
Sensara Technologies

Research Engineer — Aerospace & Defence

Mar 2024 - Dec 2024

Engineered deep learning cost estimation framework with Explainable AI dashboards for manufacturing process optimization.

CS
CompanyStore.io

Data Analyst Intern

Jun 2023 - Aug 2023

Built ETL pipeline on 150K rows integrating Magento and Viniculum APIs. Deployed unified analytics store on Zoho for real-time trend analysis.

Research and Publications

Fun weekend rabbit holes that turned into something interesting.

pixel rabbit
Submitted
Under Review · 2026

Prediction of Post-Stroke Vascular Events: A Novel Two-Stage Machine Learning Model Integrating Platelet Function and Clinical Data

Had the opportunity to work with multiple faculty members of PES University and doctors to develop a novel two-stage ML model integrating biomarkers and clinical variables to predict recurrent vascular events after ischemic stroke. Uses Random Forest regression and classification with GAN-based class balancing.

Published
ICAART 2025 · 2025

Explainable AI: A Retrieval-Augmented Generation Based Framework for Model Interpretability

Introduces a novel RAG-based framework leveraging Large Language Models and domain-specific knowledge bases to provide clear, interactive explanations of model outputs. Demonstrated across healthcare, finance, and manufacturing, offering a scalable solution for making ML/DL systems more trustworthy and accessible for non-technical users.

View Paper
Published
IEEE ICDDS 2024 · 2024

YouTube Viralomics: A Scoring Framework by Analyzing Engagement Metrics in the Indian Context

Develops a unique 'viralomics' framework to measure virality using 10,000 trending YouTube videos from Indian creators. Employs statistical techniques for feature elimination, regression analysis, and Particle Swarm Optimization to derive a virality score achieving R² of 0.913 and MSE of 0.0020, validated through a two-step process.

View Paper

Education

Four years learning how computers think — and then AI showed up and started doing it faster

Claude mascot

PES University

B.Tech Computer Science Engineering

Sep 2021 – Jun 2025CGPA: 8.71
  • MRD ScholarshipAwarded to the top 20% of students based on academic performance.
  • Teaching AssistantCentre of Innovation and Entrepreneurship. Mentored student teams and supported entrepreneurship programs focused on product development and innovation.
  • Entrepreneurship & InnovationCollaboratively led a team through ideation, prototyping, and customer discovery to build an Extended Reality educational platform, developing and validating a Minimum Viable Product (MVP) through user feedback.
  • Leadership & EventsEvent Lead for E-Summit and Maaya (2023, 2024), organizing entrepreneurship and innovation events and interacting with founders, investors, and student builders. Also actively participated in hackathons and coding competitions across campus.
  • CourseworkOS, DSA, Compiler Design, Databases, Cloud Computing, ML/AI, Big Data (Kafka, Spark).

Technologies

Tools and technologies I work with day-to-day.

Technologies

CUDA
OPOpenCL
TETensorRT

Languages

Python
C
C++
Java
SQSQL

Frameworks & Libraries

Django
Node.js
Next.js
Keras
PyTorch
TensorFlow
Scikit-Learn

Databases

MongoDB
MySQL

Tools

Git
Docker
Kubernetes
Jenkins
CUCursor
Claude Code
COCodex

Platforms

Linux
UNUnix
AWAWS

Projects

CloudCommerce

Microservices e-commerce platform with REST APIs, Docker/Kubernetes orchestration, and automated CI/CD via Jenkins.

DockerKubernetesJenkinsReactMongoDB
View on GitHub

AttendAI

Real-time facial recognition attendance system for educational institutions using OpenCV with MySQL backend.

PythonOpenCVMySQLTkinter
View on GitHub