Ethnan Javaid

I've built AI assistants, automation workflows, and production mobile features that turn machine learning and software engineering into practical products.

During my mobile application development internship at Software Productivity Strategists, Inc. (SPS), I engineered Flutter/Dart features for a sustainability-focused platform. I integrated Firebase Authentication, Analytics, and Crashlytics, and reduced Firebase read operations by approximately 30% through profiling and redundant-call elimination.

My AI projects include a University RAG Assistant using Python, FAISS, Sentence Transformers, Claude API, and Flask for document-based Q&A with source-grounded responses. I've also built an NLP chatbot with LLM and REST API integration, plus n8n-based AI workflow automations for processing data and notifications.

On the deployment side, I've containerized Flask REST APIs and built Jenkins CI/CD pipelines for automated Docker deployments, health checks, and zero-downtime redeployment on Linux servers. I'm completing a BS in Artificial Intelligence and enjoy building scalable, real-world AI systems.