Smriti Yadav

Senior Software Engineer

Crafting elegant solutions to complex problems

View My Work

About Me

Senior Software Engineer with 3 years of experience in building scalable web applications and cloud solutions. Specialized in full-stack development with expertise in both frontend and backend technologies. Passionate about creating efficient, user-friendly solutions while following best practices and modern development methodologies.

Resume

Work Experience

Senior Software Engineer

2021 - Present

Led development of cloud-based SaaS platforms, focusing on scalable architecture and microservices. Contributed to diverse projects that expanded my expertise across various technologies and deepened my proficiency in agile methodologies.

AWS Python React MySQL DynamoDB

Featured Projects

Innovgrid

Worked in team for developing an B2B platform for cloud computations and setting up company infrastructure, provisioning cloud machines, which could execute models and high-performing tasks. This application was based on serverless architecture approach using Singleton Design Pattern across the application.

AWS Serverless Python Docker

Horizon River Technologies

Developed python automation scripts to streamline invoice processing and tracking. Implemented data analytics capabilities to generate demographic statistics, enabling franchisees to monitor usage patterns and payment statuses effectively. This solution provides comprehensive invoice oversight across multiple retail locations, improving financial management and reporting.

Flask MySQL

Intellisafe

Led the backend development of a real-time worker monitoring system using IoT devices to track metrics such as acceleration, temperature, and EDA. Implemented data ingestion and processing pipelines, storing information in a MySQL database.

IoT Analytics Real-time

yolov8 license plate detection

This implementation leverages YOLOv8's enhanced architecture to accurately identify and locate license plates on vehicles in various conditions.

Yolov8 Python

AudioSentimentAnalyzer

The application combines speech-to-text conversion with sentiment classification, providing valuable insights into the emotional tone of spoken content.

AI Python

Technical Skills

Languages & Frameworks

Python
FastAPI
JavaScript
Django

Database Technologies

MySQL
PostgreSQL
DynamoDB
NoSQL

Cloud & DevOps

AWS
Azure
Docker
CI/CD

Tools & Other

Git
Bitbucket
SourceTree
Linux

Get In Touch

Let's Connect

Feel free to reach out through any of the platforms below.