Muhammad Rameez

H O M E

Hi, I'm

Muhammad Rameez

AI/ML Engineer

Speech AI | RAG | Multi-Agent Systems | Computer Vision

A B O U T

ABOUT ME

Introduction

AI/ML Engineer specializing in low-latency conversational speech pipelines, edge model optimization, production RAG architectures, and multi-agent execution loops. Hands-on experience across the machine learning lifecycle — from INT8 model quantization and ONNX runtime profiling to asynchronous WebSocket microservices in FastAPI and production Docker deployment — built through AI and software engineering internships at Arch Technologies and Maqminds.

Agentic Orchestration

LLM Fine-Tuning & Optimization

Advanced RAG Systems

Multi-Agent Architectures

Computer Vision

Backend AI Integration

Projects completed

Repositories

Working Hours

STUDY

ABOUT ME

Education

Bachelor of Science in Software Engineering

Punjab Tianjin University of Technology | CGPA: 3.43 / 4.00

AI & INTELLIGENCE

Generative AI & NLP
Deep Learning & Computer Vision
Machine Learning & Predictive Modeling
Multi-Agent Systems

CORE ENGINEERING

OS & Database Systems
Software Architecture & Design
IoT & Embedded Systems
API Design & Microservices

Featured Project: Actuator AI

Autonomous enterprise automation engine with a supervisor–worker hierarchy: an intent classifier orchestrating 8 specialized sub-agents:

• Relational state persistence across Realtime PostgreSQL tables
• Core services exposed through documented asynchronous FastAPI endpoints
• Docker containerization for deterministic cross-platform execution

PROGRAMMING

Present

SELF LEARNING

I am not good at any of the language in programming.I am just a noob coder.I know nodejs,bash,html,mongodb.

C A R E E R

ABOUT ME

Career

Jun 2025 - Aug 2025

Maqminds — Junior Software Engineer Intern

Profiled and refactored backend ingestion endpoints across PostgreSQL databases, boosting analytics query throughput by 23% and cutting execution latency. Built validated ETL routines with strict schema constraints and maintained continuous delivery standards in an Agile team through automated Git workflows, peer code reviews, and production bug triage.

Mar 2025 - May 2025

Arch Technologies — AI Engineer Intern

Engineered computer vision inference pipelines integrating YOLO and SAM2 for automated target localization and sub-pixel segmentation. Fine-tuned LLaMA-3.2B using LoRA/QLoRA via Hugging Face (~15% gain in structured reasoning) and built automated evaluation and data-cleansing pipelines in PyTorch and Scikit-Learn.