Hey There, I am a
Software Engineer
With over 2+ years of experience in designing and deploying scalable microservices. Proficient in Python, JavaScript, Node.js, Google Cloud, and Postgres. Skilled in Unit testing, API testing, Docker, and Jenkins. Committed to continuous learning and eager to leverage technical skills in a role that drives innovation.
Technical Skills
- Microservices
- Rest APIs
- Cloud Computing
- Databases
- CICD
- Python
- Javascript
- Scala
- SQL
- HTML
- Node.js
- Google Cloud Platform (GCP)
- Docker
- Jenkins
- Postgres
- Cassandra
- GraphQL
- Flask
- Express.js
- Pytest
- Falcon
- Spark
- Git/GitLab
- Postman
- Snyk
- Jira
Work Experience
MRO Corporation
Software Developer
Developed scalable web services, optimized CI/CD pipelines, automated data processing with Airflow, enhanced security with Snyk, integrated FHIR API data, built event-driven Cloud Functions, and optimized ETL workflows using Scala and Spark.
INeuron.ai
Project Intern
Contributed to an image-based employee productivity analysis system by creating a dataset of 5,000+ images and fine-tuning YOLOv5 model for optimized outputs. The results were then integrated into a Tableau dashboard to generate daily reports
Widhya
Machine Learning Intern
Developed machine learning models on four datasets, performed advanced data cleaning and feature engineering, and utilized Pandas, NumPy, and Scikit-learn for data analysis and visualization.
Projects Overview
BLOG SITE
A blogging web application with features for creating, editing, and managing blogs built using Flask, HTML, and Bootstrap, with MySql database for data storage.
View on GitHubMOVIE RECOMMENDATION SYSTEM
A content-based movie recommendation system using movie names, actors, and genres, leveraging Kaggle datasets and the TMDB API for up-to-date movie data.
View on GitHubFLIGHT FARE WEB APP
A web app for flight price prediction using Random Forest, achieving close to 91% accuracy. Applied feature engineering and EDA to optimize model performance.
View on GitHub
ROCK PAPER SCISSORS AI GAME
A Rock Paper Scissors game built using OpenCV and a CNN, trained on hand gesture images. Built with Python, OpenCV, NumPy, Tensorflow and Keras for real-time gesture recognition.
View on GitHub