IT engineer building scalable full-stack web applications, Flutter mobile apps, and machine learning models.
Seeking Software Engineer, Full-Stack, & ML engineering opportunities.
From AI routing engines to Flutter mobile apps to ML models — a snapshot of what I've shipped across domains.
Conduit
AI Decision Routing Engine
High-throughput intelligent triage for unstructured payloads.
Dukan Sathi
Flutter E-Commerce Mobile Platform
Bridging local retail shops with nearby customers.
Aero Guard
Predictive ML Jet Engine Analytics
Forecasting engine degradation before it happens.
TravelDost
Atomic relational itineraries at sub-45ms.
Sentiment Analysis DL
85.1% accuracy. 626KB model. 100% offline.
A curated stack across full-stack web, mobile, and machine learning — tools I've shipped real production projects with.
Frontend
Backend
ML / AI
Mobile
Tools & Infra
I'm Durgesh Kanzariya, a B.Tech IT engineer at RK University, Rajkot (2023 cohort), building production systems across the full software stack — from responsive React dashboards and FastAPI backends to Flutter mobile apps and deep learning models.
My work focuses on real-world engineering challenges: atomic Firestore transactions with physical handover verification, dual-model AI triage pipelines combining local BERT routers with cloud LLMs, and predictive degradation forecasting on aerospace sensor telemetry.
I believe the best engineers learn by building. Every project in this portfolio was conceived as a solution to a concrete problem and engineered to production standards.
“Engineer by craft. Builder by passion.”
Full-Stack Engineering
React, Next.js, Node.js, FastAPI — end-to-end scalable product engineering with atomic data pipelines.
Machine Learning & AI
XGBoost, TensorFlow, ModernBERT local routers, Groq LLM pipelines, and predictive telemetry models.
Mobile Development
Production Flutter + Dart apps, Riverpod state management, atomic Firebase transactions, and Cloudinary CDN.
Undergraduate IT Engineer
B.Tech Information Technology at RK University, Rajkot (2023 cohort) — shipping production systems while studying.