Portfolio

Mohammed Mahroz Uddin Hamza

Hyderabad, Telangana

Software Engineer | Backend Architecture & AI/ML Systems

Building Reliable ML Systems

Skills

A stack oriented around APIs, models, data, and tooling.

My core skill set combines backend engineering, ML integration, and practical deployment tooling for real-world service reliability.

Core Engineering

PythonFlaskDjangoJavaREST APIsMicroservices

AI / Model Integration

PyTorchHugging FaceModel ServingPrompt EngineeringLIMEFastSpeech2Whisper.cpp

System Architecture & Data

CeleryRedisMySQLAsynchronous WorkflowsFFmpeg

Dev Tools & Environment

DockerLinux/UbuntuGitPostmanConda

About

A practical software engineer with an ML deployment mindset.

I work across the full path from model integration to production ready APIs, including async processing patterns and deployment aware engineering decisions.

Software Engineer with strong foundations in Python backend design, microservices, and asynchronous systems. Experienced in packaging, serving, and deploying AI models—from speech synthesis models to LLM-powered applications.

Sports and hackathons sharpened my teamwork, speed, and problem solving.

Experience

Internships and training that show applied engineering work.

My internship work focused on architecting model-serving APIs and asynchronous pipelines that remain usable under realistic compute and latency constraints.

2025

Web Technology Intern

C-DAC, Hyderabad

  • Architected and developed Flask and Django APIs for ML model deployment, including services for PDF-to-audio conversion (FastSpeech2) and video transcription (Whisper.cpp).
  • Built asynchronous processing pipelines with Celery and Redis to handle long-running tasks without blocking API requests.
  • See resume for full details on system architecture and implementation.

Projects

Projects that connect model work to usable software.

These projects show how I structure end-to-end ML application flows: preprocessing, inference integration, asynchronous execution, and client-facing API design.

PDF to Audio Converter

A Flask web app that converts PDFs to audio using FastSpeech2, with asynchronous processing via Celery and Redis.

    FlaskFastSpeech2CeleryRedis

    Project

    Palm-Powered Course Generator

    Developed an intelligent LLM-based Flask platform to generate learning courses, and detailed explanations from simple user input. 22 stars and 12 forks from developers worldwide on GitHub.

      DjangoWhisper.cppCeleryRedisFFmpeg

      Project

      AI-Powered Multi-Modal Content Moderation System

      Architected a Flask-based multi-modal content moderation system integrating RoBERTa, OpenAI CLIP, and Whisper models with LIME for explainable AI transparency and justifications.

        FlaskRoBERTaLIMEOpenAI CLIP

        Education

        Academic background that supports the engineering story.

        My education in IT and AI & DS supports my practical focus on software engineering, model integration, and deployment-oriented systems thinking.

        2025

        B.E. in Information Technology

        Muffakham Jah College of Engineering & Technology (MJCET), Osmania University

        CGPA 8.81, First Class with Distinction

        2021

        Class XII, MPC

        Narayana Junior College

        98.4%, First Class

        Certifications

        Validating expertise through credentials.

        A collection of certifications that demonstrate my commitment to continuous learning and specialized knowledge in key technology areas.

        2026

        Technical Foundations in Machine Learning Operations, GenAI

        Qualcomm Academy

        View

        2025

        Web Development in Python (WBL Level-1)

        Centre for Development of Advanced Computing

        View

        2025

        Skill Assessment Certification in Problem Solving

        HackerRank

        View

        2024

        TalentNext Java Full Stack

        Wipro

        View

        Contact

        Open to roles in software, AI, and deployment.

        I am excited to contribute to ML systems, backend workflows, and practical product engineering. Hope to meet you in an interview.

        mahrozmohammed922@gmail.com

        +91 7893843184