M. Muneer Asad

Data Scientist, Generative AI Engineer & Azure Expert

About Me

Empowering AI Innovation

Passionate Generative AI Engineer experienced in building and deploying Azure-based RAG systems and enterprise AI solutions. Skilled in ML, NLP, and the Python data stack, with a focus on scalable, secure, and compliant architectures.

Proficient in Azure OpenAI, Cognitive Search, Form Recognizer, and Content Safety. Committed to innovation and delivering impactful, enterprise-grade AI products.

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My Skills

Microsoft Azure Stack

Microsoft Azure AI

Vector Databases

AI & Machine Learning

Generative AI

Large Language Models

Data Science & Analytics

DevOps

Tools

My Experience

Visionet Systems Inc.

AI Engineer

Feb 2025 - Present

Built Azure-based RAG platforms with Generative AI and LLM integration.
Developed multimodal ingestion pipelines using FastAPI, Celery, Redis.
Implemented PII/PHI compliance with Microsoft Presidio.
Integrated Azure OpenAI, Cognitive Search, and Form Recognizer.
Designed semantic retrieval and token-optimized embedding workflows.
Delivered real-time tracking via Azure Service Bus.
Supported presales demos and enterprise GenAI architecture design.

Technologies

Systems Limited

Associate AI Engineer

Nov 2024 - Present

Worked on Generative AI initiatives under Sysgenius.
Learned & worked with cutting-edge AI tools & technologies as part of the SysGenius AI engineering program.
Built intelligent systems using LLMs, NLP, and ML for enterprise automation.
Developed prompt engineering workflows and scalable AI pipelines.
Used Python, SQL, and NumPy for AI data processing and retrieval.

Technologies

Allied Corporations

Family Owned Business

Feb 2024 - Nov 2024

Managed daily business operations, logistics, and vendor coordination.
Developed leadership and financial management skills.
Led planning and decision-making for business growth and customer relations.

Education

The University of Faisalabad

Bachelor's of Computer Science
Sep 2020 - July 2024

My Projects

PrivetLM

Enterprise GenAI Platform

Developed a secure, enterprise-grade RAG (Retrieval-Augmented Generation) platform on Azure that enables multimodal document ingestion, context-based Q&A, and compliance enforcement across sensitive sectors like healthcare, finance, and government. Integrated PII/PHI protection, content safety, and real-time ingestion tracking using Azure services.

PrivetLM

Enterprise GenAI Platform

AIR CARGO EFFICIENCY

Predictive Analytics System

Designed and implemented a machine learning–based predictive analytics system to improve air cargo operations by forecasting cargo weight, predicting efficiency, and detecting anomalies. Delivered interactive dashboards and a modular web interface for real-time insights.

AIR CARGO EFFICIENCY

Predictive Analytics System

AUTOMATED CAREER COUNSELOR

AI Chatbot

Built a privacy-first AI-powered chatbot for career guidance of individuals by using RAG architecture. Integrated Claude Sonnet 4.5 with context retrieval from Chroma DB and implemented sensitive data redaction through Microsoft Presidio, ensuring compliance and scalability.