Nehru Yalla
Software Engineer & Full-Stack Developer
Building scalable SaaS solutions and innovative mobile applications with expertise in Vue.js, Flutter, and Machine Learning
San Francisco, CA
About Me
I'm a passionate Software Engineer with a Master's in Computer Science from Santa Clara University and 2+ years of experience building scalable solutions. I specialize in full-stack development, having delivered 15+ features for US healthcare clients and created engaging mobile applications that increased user engagement by 55%. My expertise spans from frontend frameworks like Vue.js and Flutter to backend technologies and machine learning applications.
Experience
SCU Frugal Innovation Hub
Jul 2024 - PresentDeveloped bilingual educational app increasing engagement by 55%
ValueLabs
Jun 2022 - Jun 2023Delivered 15+ features for healthcare SaaS platform, improving stability by 30%
Education
Master of Science in Computer Science & Engineering
Sep 2023 - Jun 2025Santa Clara University
GPA: 3.7
Bachelor of Technology in EEE
Jul 2018 - Jun 2022National Institute of Technology
GPA: 3.7
Technical Skills
Programming Languages
- Python
- JavaScript
- C++
- C
- HTML5
- CSS
- SQL
Frontend Frameworks
- ReactJS
- Vue.js
- Flutter
Backend & Database
- .NET
- Spring Boot
- MySQL
- MongoDB
- FastAPI
Cloud & DevOps
- AWS
- CI/CD
- GitLab
- Docker
Data & Analytics
- Scikit-learn
- pandas
- matplotlib
- Streamlit
- Tableau
- PowerBI
Tools & Methodologies
- Git
- Agile/Scrum
- JIRA
- Postman
- RabbitMQ
- Kafka
Featured Projects
F1 Predictive Analytics Pipeline
Full-stack predictive analytics application using Python and Streamlit to forecast F1 race outcomes. Created ETL pipeline processing 20+ race events, engineered novel Driver Skill feature, achieved 15% improvement over baseline models with 3.42 MAE.
Khoj - Document Intelligence App
LLM-powered web app for extracting insights from documents using RAG techniques. Built with modern tech stack including React frontend, FastAPI backend, and AWS cloud services.
California Wildfire Prediction
ML model achieving 88% accuracy for wildfire prediction, analyzing 10K+ data points with interactive dashboards featuring choropleth maps and Sankey diagrams.
Let's Work Together
Ready to build something amazing? I'm available for full-time opportunities and interesting projects.
Currently pursuing MS in Computer Science at Santa Clara University, graduating June 2025.