# Taj Tanveer Raza Shaik

> Software Engineer at Google

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/taj

I am a full-stack software developer with recent experience building micro-services and single page applications using Spring Boot and React. I have been interested in learning different programming languages and frameworks to give a responsive, dynamic user experience on the client-side and modular, maintainable code on the server-side.


Technical skills - 
•	Languages: Java, SQL, Python, JavaScript, TypeScript, C++, C#
•	Web Frameworks: Node.js, React, HTML, CSS, PHP 
•	Other technologies: Git, SQL, Docker, GCP, Azure, AWS, Jenkins, REST APIs, GraphQL, Flask, Django, AJAX

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | Mountain View, California, United States

### Software Development Engineer @ Amazon
Jan 2022 – Jan 2022 | Remote

### Software Developer @ DataEdge
Jan 2020 – Jan 2022 | Remote

### Associate Instructor @ Indiana University Bloomington
Jan 2019 – Jan 2020 | Bloomington, Indiana, United States
Worked as a part-time Associate Instructor for the course Information Representation where I helped undergraduate students learn and understand the concepts of Relational Database Management System, Entity-Relationship diagrams, MySQL and PHP.

### Engineer Intern @ CORE studio at Thornton Tomasetti
Jan 2019 – Jan 2019 | New York, New York
- Worked on developing an application called Thornton Tomasetti Damage Detector (T2D2), which would be used to detect damages on buildings and structures through drones based on Deep Learning and Computer Vision.
- Trained a variety of deep learning models, including Faster R-CNN, Mask R-CNN and YOLO, and compared their results to choose the best model for detecting damages.
- Performed data cleaning, data labeling and data exploration to minimize training loss and optimize accuracy.
- Created an automated pipeline for damage detection using additional machine learning classifiers to improve prediction accuracy.
- Worked on optimizing the models for faster inference using techniques like pruning, constant folding and folding batch norms, resulting in a 35% increase in inference speeds.
- Helped create an online inference server to deploy the models using TensorFlow Serving with Docker, Google Cloud services and Kubernetes.


## Education
### Master of Science - MS in Data Science
Indiana University Bloomington
Jan 2018 – Jan 2020

### Bachelor of Engineering - BE in Computer Science
Chaitanya Bharathi Institute Of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/tajtanveer

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Source: https://flows.cv/taj
JSON Resume: https://flows.cv/taj/resume.json
Last updated: 2026-03-22