Freelance developer 2019-Present
Working on full-stack projects(MERN and python) and deep learning models. Open to new projects in Python/Javascript/Typescript. I am actively looking for full-stack or AI/machine learning projects.
Introduction
I am a self-taught programmer with 6 years of coding experience. I am passionate about Artificial intelligence and modern software techniques like microservices and cloud technologies. I have hands-on experience with machine learning and deep learning algorithms. I am proficient in python and javascript(nodejs) languages. The tech stack that i am proficient includes react, node/express, python and mongoDB. I am currently looking for full-time or remote opportunities in software development. I am open to relocation.
If you find my profile interesting and my skills may suit your requirement please feel free to contact me.
Here are some of my expertise
Frontend development
- HTML/CSS
- ReactJS/Typescript
- Redux
- GraphQL
- Client side rendering
Backend development
- Python
- NodeJS/Express
- MongoDB
- Flask
- REST API
Artificial Intelligence
- Deep learning algorithms
- Machine learning algorithms
- Computer Vision
- Natural Language Processing
- Reinforcement learning
My Skills
The proficiency of my top technical skills is given below. For more information about all my skills and certifications, please look at my LinkedIn profile.
Programming languages
Python
Javascript/Typescript
HTML5/CSS3
Frontend/Backend Frameworks
REACT JS
Django/Python
NodeJS/Express
AI Frameworks / Python Libraries
Keras
SciKit Learn
Tensorflow
Database
Postgre SQL
MongoDB
Version control/Deployment tools
Git/Github
Heroku
DevOps/Microservices tools
Docker
Kubernetes
Cloud Services
Google Cloud
Digital Ocean
Recent Work
My Writings
September, 2019 | Artificial Intelligence
Learning - Based Medical Image Registration
March,2020 | Artificial Intelligence
Mesh Segmentation of Aneurysms using Geometric Deep Learning
Work Experience
AI internship at Siemens Healthineers Company 2018-2019
The project is about using reinforcement learning with recurrent neural networks as a optimizer in image registration task. Proximal Policy Optimization (PPO) with Long Short Term Memory (LSTM) network was implemented for medical image registration task. During the internship, I gained in-depth knowledge about deep learning algorithms.
Student Assistant 2017-2018
Topic "Correlational Structure of EEG signals under Different Task Conditions". The signal processing student project, Large EEG brain signals acquired at different active states are analyzed. The preprocessing, decomposition, and power spectral analysis of EEG signals are carried out using MATLAB.