Hi, I'm Revanth 👋
Software Development Engineer | Building Scalable, Distributed Systems with Cloud-Native Architecture
RG

About

Software Development Engineer skilled in Java, Python, and C++, with strong knowledge of data structures, algorithms, and object-oriented design. Experienced in building scalable, distributed, and fault-tolerant systems, cloud computing (AWS, GCP, Azure), and agile software development. Passionate about solving complex problems and delivering high-quality, cost-efficient solutions at scale.

Skills

Java
Python
C++
SQL
HTML
CSS
JavaScript
React
Next.js
Django
Docker
Git
GitHub
AWS
EC2
S3
Lambda
Elastic Beanstalk
GCP
Azure
Vercel
Render
TensorFlow
Scikit-learn
PyTorch
Hugging Face
LangChain
Scalability
Fault-Tolerance
Optimization
Complexity Analysis
Problem Solving
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

DataPulse — Automated EDA and Data Health

Full‑stack data health monitoring app to detect outliers, missing data, and statistical drift in CSV datasets. Interactive dashboard with real‑time visualizations and automated quality scoring using ML.

FastAPI
Python
Pandas
NumPy
Scikit‑learn
SciPy
React.js
Material‑UI
Plotly.js
Axios
Docker
Vercel
Render

Image Captioning Django Web App

Django web application using BLIP transformer model to generate descriptive captions for uploaded images with a clean UI and real‑time generation.

Python
Django
PyTorch
Transformers
PIL
HTML
CSS
SQLite3

Face Emotion Detection

Computer vision application using OpenCV and FER (Facial Emotion Recognition) to detect and classify human emotions.

Python
OpenCV
FER
MTCNN
Keras
NumPy
Pandas
Matplotlib
Google Colab
Certifications

Professional Certifications

Industry-recognized certifications that validate my expertise in various technologies and platforms.

Feb. 2024

AI Engineer Associate

Microsoft Azure

May. 2024
May. 2024
Sep. 2024
Jan. 2025
Research

Research Publications

Academic contributions and research work published in peer-reviewed conferences and journals.

An Enhanced SVM Model Optimised with Minimum Bayes Error Rate for Mental Disorder Detection

10th International Conference on ICT for Sustainable Development (ICT4SD)

Goa, India

Jul 2025

Contributed to research on mental disorder detection using enhanced SVM models with minimum Bayes error rate optimization.

Springer
Conference Proceedings
Hackathons

Hackathon Highlights

  • N

    NXP AIM India 2024

    India

    Regionals; built an obstacle‑avoiding robot with ROS2 lane detection.
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.