Hi, I'm Aditya 👋
Software Engineer with a passion for building innovative solutions and helping others. I love creating, learning, and sharing ideas.
AR

About

I’m a developer who loves turning ideas into reliable, well-engineered applications. My work spans Python, Java, Spring Boot, React, and AWS, with a strong focus on writing clean, efficient code and building systems that scale. I enjoy solving complex problems, improving performance, and learning new technologies that help me grow as an engineer. When I’m not coding, I’m exploring ways to stay curious and keep building.

Work Experience

  • W

    Wellsfargo

    Software Engineer

    Developed enterprise-grade full-stack features using Spring Boot and React, optimizing REST microservices to cut response times by 20% and boost throughput by 15%. Built Kafka-based pipelines that improved reliability by 20% and reduced production incidents by 15% through effective debugging and RCA. Automated CI/CD workflows to reduce deployment time by 25% and improved overall code quality—cutting regressions by 10%—while working within Agile/Scrum processes.
  • N

    Nagarro

    Associate Software Engineer

    Developed scalable, efficient applications using Python, including building web applications with the Flask framework. Optimized code for performance and maintainability through best practices and gained strong proficiency in Python tooling and frameworks to streamline development. Worked with cloud-native design patterns and gained familiarity with key AWS services to support modern, cloud-ready applications.
  • S

    Simplifii Labs

    SDE Intern

    Spearheaded mobile app development projects using Flutter, React, and React Native, managing the entire lifecycle from concept to deployment and integrating third-party services to enhance functionality

Education

Skills

Python
SQL
Java
Dart
C++
C#
Hugging Face
RAG
Javascript
Typescript
Git
Flutter
Pytorch
Numpy
Pandas
tensorflow
Node.js
React
Next.js
Docker

Projects

Vision Transformer

Vision Transformer

Vision Transformer is a Python-based deep learning project that implements transformer architectures for image recognition. It leverages attention mechanisms to process image patches, offering state-of-the-art performance on various image classification benchmarks.

Python
PyTorch
TensorFlow
Deep Learning
Transformers
T-Translate

T-Translate

T-Translate is a Transformer-based text generation model built from scratch using PyTorch. It follows the original Attention Is All You Need paper, implementing a custom Transformer architecture for text-to-text tasks such as machine translation or text completion.

Python
NLP
Deep Learning
Transformers
Tensor Grad

Tensor Grad

Tensor Grad is a lightweight Python library for automatic differentiation. Inspired by frameworks like PyTorch and TensorFlow, it allows users to compute gradients for machine learning models efficiently and intuitively.

Python
Machine Learning
Version Information Tracker (VIT)

Version Information Tracker (VIT)

VIT (Version Information Tracker) is a simple command-line version control system inspired by Git. It allows users to initialize repositories, add files to staging, commit changes, manage branches, and view diffs, all through a terminal interface.

Python

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.