Md Aziz

Md Aziz

Backend & ML Engineer | Building 10x Faster Systems with Agentic AI

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About

Backend & ML Engineer with 4+ years building scalable APIs, SaaS platforms, and AI integrations. I build production-ready systems using FastAPI, Python, and practical ML (NLP / TensorFlow). I focus on performance, clean architecture, and deploying systems that scale and deliver measurable impact.

FastAPI Python NLP TensorFlow MySQL Docker SaaS Architecture SQL Optimization

Projects

Daily Hisab • 10K+ users

Personal finance manager rebuilt with a modern FastAPI backend and Flutter frontend. Focused on performance, secure APIs, and real-time analytics.

FastAPI Flutter MySQL Docker
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Daily Hisab

FastAPI Middleware Engine

Offloaded heavy PHP tasks to async Python engine — queueing, ML inference, and background processing.

FastAPI Async Redis
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SafeNet Guardian

AI-driven safety system to detect harmful content and provide real-time risk scoring for children’s browsing.

FastAPI NLP Next.js
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Ticket Intelligence (NLP)

Duplicate detection and sentiment analysis using SentenceTransformer to reduce manual ticket handling.

NLP SentenceTransformer scikit-learn
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Dog Vision Classifier

TensorFlow CNN model achieving ~90% accuracy across 120+ dog breeds.

TensorFlow CNN Data Augmentation
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Face Recognition Engine

Flask-based face registration & matching pipeline using deep embeddings.

Flask OpenCV Embeddings
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Experience

Skoodle Learning Pvt Ltd

Full Stack Developer — Sept 2023 – Present | Bengaluru

  • Architected multi-tenant SaaS modules and integrated PHP systems with FastAPI middleware.
  • Built async job & ML inference engine to offload heavy workloads (40% load reduction).
  • Implemented NLP-based ticket intelligence and modular permission systems.

Attractive Web Solutions

Full Stack Developer — Feb 2021 – Aug 2023 | New Delhi

  • Built CRM, E-commerce and portal systems with Laravel/CodeIgniter.
  • SQL optimization and caching reduced response times by ~30%.
  • Automated deployments and improved monitoring & security practices.

Contact

Email: mdaziz6632@gmail.com

GitHub: Md-Aziz-Developer

LinkedIn: linkedin.com/in/md-aziz-developer