MSc CS | AI + MLOps

accelerate  . Building production AI systems that accelerate Efficiency.

Muhammad Zain is an AI/ML Engineer focused on RAG, agentic systems, NLP pipelines, and scalable ML APIs. I build reliable AI products for healthcare, legal, recruiting, and workflow automation use cases.

Working on: AI/ML Engineer
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About

AI/ML Engineer building production AI systems that automate workflows and drive measurable business outcomes. Specialized in NLP, RAG, agentic AI, and scalable ML APIs across healthcare, legal, recruiting, and business automation domains.

Focused on transforming complex data and workflows into reliable AI products that improve efficiency, support better decisions, and deliver practical value through scalable engineering and modern machine learning technologies.

Technical Skills

Programming
Python
Backend & APIs
FastAPI, REST APIs
Databases
PostgreSQL, MS SQL, Redis
Vector Databases
Qdrant, Pinecone, PGVector, FAISS
LLMs & Agentic Systems
Transformers, RAG Pipelines, Prompt Engineering, LoRA/QLoRA Fine-tuning, LangChain, LangGraph, LangSmith, HuggingFace, Ollama, OpenAI, Llama
Computer Vision
OpenCV, OCR, VLMs
Speech Processing
Speech-to-Text (STT), Text-to-Speech (TTS)
Data Processing
Pandas, NumPy, PDF and text data parsing
Machine Learning & Deep Learning
Scikit-learn, PyTorch, TensorFlow
Infrastructure & Tools
Docker, AWS (EC2, S3), Git, Linux (Ubuntu)

Services

Focused AI engineering support for teams that need working systems, not experiments.

RAG & Agent Workflows

Retrieval systems, tool-using agents, and workflow automation for document-heavy operations.

RAG & Knowledge Systems

Document aware AI assistants powered by vector search and retrieval augmented generation.

AI Workflow Automation

Pipelines for resume screening, content operations, intake processing, and internal team workflows.

Production LLM APIs

FastAPI services with evaluation, monitoring, vector search, and deployment-ready architecture.

NLP & Document Intelligence

Extraction, classification, summarization, OCR, and reasoning over messy business documents.

Domain AI Systems

Healthcare, legal, recruiting, and operations-focused AI systems built around measurable outcomes.

Selected Projects

The strongest proof of the portfolio: deployed systems, applied AI workflows, and domain-specific ML products.

AI Medical Encoder screenshot

AI Medical Encoder

Clinical Intelligence Suite

2024

An AI-based medical encoder built on LLaMA 3.2 (3B) that automates ICD-10 code assignment, cutting manual effort and reducing time complexity by ~50% in pilot evaluations.

  • Reduced manual review time by 45% for pilot customers.
Ollama LLaMA 3.2 (3B) PyTorch Hugging Face Finetuning
Legal AI Agent screenshot

AI LegalAgent

Law.co

2024

Law.co designs and deploys secure legal AI infrastructure for law firms, legal departments, and regulated organizations — including private LLMs, agentic AI workflows, legal document intelligence, and enterprise-grade automation systems.

  • Cut research hours by 60% for compliance teams during pilots.
LLMs RAG Hugging Face Django FastAPI
Talent Intelligence Pipeline screenshot

AI Recruiter

Talent Intelligence Pipeline

2025

Recruiting assistant that ranks candidates and extracts interview insights from resumes.

  • Aim to improve shortlist quality by 30% in trial deployments.
LangChain FastAPI OpenAI Prompting Postgres
SEO + Marketing Agent screenshot

SEO + Marketing Agent

Growth Automation Studio

2025

Automated content and SEO pipelines that draft, optimize, and publish scaled content with analytics.

  • Drove 3x more indexed pages within 3 months for a marketing pilot.
Agents Automation Analytics
ASD Detector screenshot

ASD Detector

Autism Spectrum Disorder Detector (Research Project)

2026

Built an AI powered image classification pipeline for Autism Spectrum Disorder detection, automating feature extraction and inference to support scalable early screening workflows.

Computer Vision Model Deployment

Experience

Xeven Solutions, Pakistan

Machine Learning Engineer

Developed and deployed end-to-end AI solutions for multiple clients at an AI-focused engineering firm.

2024 - 2025

AI Freelance | Self-employed

AI Engineer & Consultant

Currently focusing on building production-grade AI systems, RAG pipelines, and scalable model APIs for startups and SMEs.

2026 - Present

Education

University of Tartu, Estonia

MSc Computer Science

2025 - Present

Focus on machine learning, distributed systems, and applied AI research.

University of Engineering and Technology, Pakistan

BSc Computer Science

2020 - 2024

Core coursework in algorithms, databases, and software engineering.

Certifications

Corvit Systems, Pakistan

Certified AI Engineer

Completed hands-on certification in applied AI, model deployment, and production best-practices.

3+

Years Experience

10+

AI Projects

Always

Shipping

Let us build something useful.

Open to full-time AI roles, freelance builds, and practical AI consulting.