Software Engineer - Python

Summary

I am a software developer with a strong background in Python, AWS, the ELK stack. I have experience in a variety of industries, including financial services, healthcare, and education.

In my current role at a large corporation, I am responsible for designing, developing, and supporting microservice and full stack automation tooling with Python. I have also worked on projects involving the ELK stack, AWS OpenSearch, and serverless architecture.

Previously, I worked as a Python developer, where I developed a Django-based website to host a directory of people and groups. I also worked as a research assistant at Tier-1 Research University , where I implemented a variety of machine learning and deep learning models.

Some of my major achievements include:

Developing a deep learning network in Jetson Nano-device to predict the age of different sized C-Elegans worm within certain confidence intervals.
Developing a code to detect cancer cells in the blood of breast cancer patients using images acquired from a microscope.
Implementing Kaggle House Prices problem using Random Forest, XGBoost, and Regression Techniques. Achieved an accuracy of 90% to predict sales price.
Implementing Kaggle New York Stock Exchange problem using Linear Regression, LSTM (Long Short-Term Networks) Techniques. Achieved an RMSE of approximately 0.02 for stock price data.
I am a highly motivated and results-oriented individual with a strong track record of success in software development. I am proficient in a variety of programming languages and technologies, and I am always eager to learn new things. I am also a team player and I am able to work effectively in a fast-paced environment.

Expectations

I am seeking a Python-focused role that allows me to utilize my skills in designing, developing, and supporting microservices and full stack automation tooling. I have experience rewriting Python modules and creating scripts for calling REST APIs. I am adept at designing user interactive web pages using HTML, CSS, JavaScript, and frameworks like React JS. I have deep involvement with Elasticsearch, Logstash, and Kibana for data visualization and analysis. Additionally, I have worked with AWS OpenSearch for monitoring and log analytics. My experience includes working with S3 buckets for storage and backups. I am proficient in implementing serverless architectures using API Gateway, Lambda, and DynamoDB. I am well-versed in version control tools like Git and have experience with Gitlab and GitHub. With a background in Python development and experience in Django/Flask based web development, I am confident in my ability to contribute to a team as a Software Engineer. I have also worked on research projects involving deep learning, image processing, and machine learning techniques. Overall, I am eager to apply my skills and contribute where I can make a meaningful impact.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Python
• Software Developer
• Microservices
• REST APIs
• HTML
• CSS
• JavaScript
• React JS
• JSON
• SVG
• Bootstrap
• ELK Stack
• Elasticsearch
• Logstash
• Kibana
• Data Visualization
• AWS OpenSearch
• S3 Buckets
• Serverless Architecture
• API Gateway
• Lambda
• DynamoDB
• Version Control
• Git
• Gitlab
• GitHub
• Django
• LDAP
• Deep Learning
• Jetson Nano
• Image Processing
• OpenCV
• Convolutional Networks
• Cancer Cell Detection
• Cell Profiler
• Machine Learning
• Extreme Machine Learning
• VENUS
• Kaggle
• Random Forest
• XGBoost
• Regression Techniques
• Linear Regression
• LSTM
• New York Stock Exchange
• Cluster Management
• Kernel-level Debugging
• Twitter Sentiment Analysis
• SVM
• Max-Entropy Classifier
• Naïve-Bayes Classifier
• Deep Learning Architectures
• VGG Net
• GoogleNet
• SegNet
• Front End Development
• SQL Development
• ASP.NET
• MS SQL Server