# Syed Asad Husain

> Software Engineering | Full Stack Development | Cloud Computing

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

A passionate developer with excellent problem-solving abilities and an analytical mindset, seeking hands-on experience within a company that embraces creativity and innovation.
My area of expertise and interests include Full Stack Development and Cloud Computing
My skillset:
Programming Languages: Python, JavaScript, Java, C++, SQL
Tools/Frameworks: HTML, CSS, D3, React, FastAPI, Django, Flask, Spring Boot, Nginx, MySQL, PostgreSQL, MongoDB, Kafka, Amazon Web Services (AWS), Google Cloud Platform (GCP), Cloud, CI/CD, Jenkins, Docker, Kubernetes, Redis, CloudFormation, Terraform, Android Studio, Git

## Work Experience
### Software Engineer @ C3 AI
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Arizona State University
Jan 2023 – Jan 2024 | Tempe, Arizona, United States
Engineered a scalable course discussion platform using FastAPI and React, serving over 2000 students and improving user engagement by 30%.
Automated 40% of student inquiries by integrating a LLM fine-tuned on historical course data, streamlining curriculum-related support.
Developed a scalable faculty platform with automated CSV upload using Django and PostgreSQL, reducing grade entry time by 50%, streamlining grade management processes.
Designed and implemented an interactive data visualization dashboard with D3, delivering real-time analytics and insights into class performance, aiding faculty in data-driven decision-making.

### Full Stack Developer @ upGrad
Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India
Delivered a distributed microservices-based healthcare application using Java, Spring Boot and Kubernetes, improving scalability and enabling faster feature deployment.
Designed and integrated a real-time health alert system using Kafka, enabling continuous health monitoring and reducing alert response times by 30%
Architected cloud infrastructure and automated deployments using Terraform, increasing deployment efficiency by 50%, and improving system reliability through consistent environment provisioning.
Introduced a CI/CD pipeline with Jenkins, Docker, and AWS, accelerating time-to-market for new features by 60% and improving the reliability of production releases.


## Education
### Master of Science - MS in Computer Science
Arizona State University

### Bachelor of Engineering - BE in Computer Engineering
Thapar Institute of Engineering & Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/asadhusain99
- Portfolio: https://husainasad.github.io/

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Source: https://flows.cv/syedasadhusain
JSON Resume: https://flows.cv/syedasadhusain/resume.json
Last updated: 2026-04-11