About Me
Backend Engineer & System Architect
Hello! I'm Kushagra, a passionate Computer Science student at UC Santa Barbara with a strong foundation in software engineering, cloud infrastructure, and full-stack development. My journey spans from building scalable web applications to developing intelligent data processing systems and mobile platforms that serve thousands of users.
I thrive in challenging environments where I can apply my technical expertise to solve complex problems. Whether it's architecting scalable backend systems, developing machine learning pipelines, or building full-stack applications, I'm driven by the opportunity to create impactful technology that makes a difference. My disciplined approach to engineering ensures robust, maintainable solutions that stand the test of production environments.
Work Experience
Backend Software Engineer
Dawdle
Architected full-stack mobile platform serving 1,000+ users. Built scalable microservices backend with Node.js/Express, Redis caching, and PostgreSQL optimization. Shipped 12+ A/B tested features driving 18% DAU increase and 25% retention boost.
Backend Software Engineer
Smartshore
Scaled RESTful APIs to 2M+ monthly requests at 99.9% uptime. Reduced P95 latency 40% through PostgreSQL query optimization and Redis caching architecture. Built comprehensive Grafana observability dashboards for production monitoring.
Platform Software Engineer
Visual Layer
Engineered ML infrastructure platform automating distributed training on AWS/Azure multi-GPU clusters. Built scalable data pipelines processing 10M+ images from ImageNet/COCO. Automated cloud resource orchestration reducing idle compute costs 40%.
Current Experience
What I'm Building
Full-Stack Developer
@ ReceiptBank
Building intelligent receipt management and expense tracking platform with OCR technology for automated data extraction. Implementing mobile-first React Native application with real-time receipt scanning, categorization, and financial analytics. Developing RESTful APIs with Node.js and PostgreSQL for seamless expense reporting and integration with accounting software.
Programming Languages
Python
JavaScript
TypeScript
Java
Swift
C++
SQL
HTML/CSS
Technologies
React
Next.js
Node.js
Tailwind CSS
AWS
Docker
PostgreSQL
MongoDB
Redis
Flask
FastAPI
TensorFlow
PyTorch
GitHub
Grafana
Firebase
Featured Projects
QUASAR EEG/ECG Visualization Tool
Developed advanced medical data visualization application for analyzing EEG and ECG signals. Built interactive real-time waveform displays with signal processing capabilities including filtering, baseline correction, and artifact detection. Implemented multi-channel data streaming, time-series analysis, and annotation features. Engineered efficient rendering algorithms for handling high-frequency biosignal data with minimal latency.
Automated Trading Bot
Created Python-based algorithmic trading system with machine learning models for market prediction and automated execution. Integrated real-time financial APIs, implemented risk management algorithms, and backtesting framework. Utilized pandas, NumPy for data analysis, scikit-learn for predictive modeling. Achieved consistent returns through technical indicators and sentiment analysis integration.
Movie Recommendation Engine
Built intelligent movie recommendation system using collaborative filtering and content-based algorithms. Processed large datasets with pandas, implemented cosine similarity matrices for personalized suggestions. Developed RESTful API endpoints, integrated with movie databases, and created responsive web interface. Applied natural language processing for genre classification and user preference analysis.
Let's build
something amazing
Open to opportunities, collaborations, and conversations about technology
Santa Barbara, CA • PST/PDT • Available for opportunities