Chaitanya portrait
👋

Hello, I'm Chaitanya. I'm a full-stack developer with 3 years of experience. I enjoy developing innovative solutions.

Contact me here Download Resume

About me

Software Engineer with over 3 years of Experience in Backend development, building scalable, high-performance software solutions. My core stack is Python, React, Next.js, Node.js, MySQL, MongoDB, Redis.I am also familiar with Go, C++ and Embedded C. I am always looking to learn new technologies. I am currently looking for a full-time position as a software developer.

I completed my Masters in Computer Science (AI Track) from SUNY - University at Buffalo, NY and my Bachelors inElectronics and Communication Engineering (AI Concentration) from Maharashtra Institute of Technology - WPU.

When I'm not coding, I enjoy playing video games, watching animes, or just exploring new cafes and restaurants with my friends. I also enjoy learning new things. I am currently learning about Financial management and working of CUDA. I'm also learning how to play the guitar.

My skills

My Experience

My Publications

Deep Learning Techniques for Human Activity Recognition, IJISRT

Published a research paper in IJISRT on advanced deep learning techniques for human activity recognition, demonstrating significant improvements in video-based analysis accuracy.

  • Deep Learning
  • Human Activity Recognition

My projects

IMDb Score Prediction System

Anticipated IMDb scores with a predictive model using ensemble learning, enhancing user experience by employing ReactJS, MUI, and JavaScript for a dynamic front-end, and Python Flask for robust backend operations. CI/CD using AWS CodePipeline.

  • Python
  • PyTorch
  • React
  • MUI
  • Ensemble Models

Bookstore Management System

Developed a bookstore management platform reducing search times to 46ms for 10,000+ books. Improved scalability and efficiency with a relational database, and streamlined deployment with Docker.

  • FastAPI
  • AWS Lambda
  • SQL
  • Docker

Health Monitoring Dashboard

Achieved real-time monitoring of over 50 patients' health metrics by developing a central hub that aggregates data streams from 78 medical devices using WebSockets and AWS IoT Core.

  • Websockets
  • AWS IoT Core
  • Python
  • React
  • Next.js
  • SQL
  • MongoDB

Handwriting-Based Mental Health Analysis

Predicted mental health states with a handwriting analysis model using SVM classifiers. Improved image quality with Adobe Photoshop and OpenCV pre-processing pipeline, and enabled sample analysis via a web portal.

  • Python
  • SVM Classifier
  • React
  • Django

OCR using Google Cloud Platform

Achieved real-time text extraction and multilingual translation by developing an OCR system with Google Vision API. Engineered an efficient image storage workflow on Google Cloud Platform, leveraging the OCR module for seamless text processing.

  • Google Vision API
  • GCP
  • SQL

Molecular Solubility Prediction Using Deep Graph Neural Networks

Predicted compound solubility in water by training a deep graph neural network in PyTorch, significantly advancing the accuracy of molecular solubility predictions.

  • PyTorch
  • GNNs
  • Deep Learning

My Awards

All India Rank 1, ABU Robocon

Engineered omni-directional robots with ARM Cortex M4 and advanced sensor integration, completing tasks within 90 seconds.

2020

All India Rank 3, NIOT SAVe

Programmed an AUV using NVIDIA Jetson TX1 and integrated PyKinect and ROS libraries for task-specific image processing.

2019

All India Rank 2, ABU Robocon

Devised a coordinate-mapping equation for a robot with rotary encoders, enabling precise autonomous movement to any location.

2018

Contact me

Please contact me directly at cyeole@outlook.com or through this form.