At XBOT Labs, I engineer production-ready full-stack applications using Python, FastAPI, Next.js, PostgreSQL, Docker, and AWS. I build REST APIs, backend services, database integrations, and AI-powered chatbots using Amazon Bedrock.
I've developed OCR and NLP pipelines using LLMs to automate document processing and application workflows, while working with clients and cross-functional teams to turn requirements into deployable software.
My projects include Clintel, a clinical results-management platform with FHIR R4 interoperability, HIPAA controls, a lab classification engine, and automated document ingestion. I also built MedQuick, connecting patients, doctors, pharmacies, and riders through AI-assisted healthcare and real-time medicine delivery workflows.
Previously, I developed native iOS applications with Swift, SwiftUI, UIKit, MVVM, REST APIs, and Apple's Screen Time APIs. During my AI/ML internship, I trained a YOLOv8 object-detection model on 4,000 annotated images and ran real-time inference on surveillance video streams.
