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Results-driven AI & ML Engineer with a strong foundation in building production-grade AI systems. Specializes in Agentic AI, real-time voice agents, LLM fine-tuning (LoRA / QLoRA / PEFT), RAG pipelines, and computer vision. Proven ability to architect end-to-end solutions from model training and optimization to cloud deployment on GCP, using Docker-based CI/CD pipelines. Comfortable delivering both research-oriented and client-facing projects across full-time roles and freelance engagements.…Results-driven AI & ML Engineer with a strong foundation in building production-grade AI systems. Specializes in Agentic AI, real-time voice agents, LLM fine-tuning (LoRA / QLoRA / PEFT), RAG pipelines, and computer vision. Proven ability to architect end-to-end solutions from model training and optimization to cloud deployment on GCP, using Docker-based CI/CD pipelines. Comfortable delivering both research-oriented and client-facing projects across full-time roles and freelance engagements.

Hamza Masud

AI Engineer, AI Developer, AI Strategy Consultant, +2

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Results-driven AI & ML Engineer with a strong foundation in building production-grade AI systems. Specializes in Agentic AI, real-time voice agents, LLM fine-tuning (LoRA / QLoRA / PEFT), RAG pipelines, and computer vision. Proven ability to architect end-to-end solutions from model training and optimization to cloud deployment on GCP, using Docker-based CI/CD pipelines. Comfortable delivering both research-oriented and client-facing projects across full-time roles and freelance engagements.…Results-driven AI & ML Engineer with a strong foundation in building production-grade AI systems. Specializes in Agentic AI, real-time voice agents, LLM fine-tuning (LoRA / QLoRA / PEFT), RAG pipelines, and computer vision. Proven ability to architect end-to-end solutions from model training and optimization to cloud deployment on GCP, using Docker-based CI/CD pipelines. Comfortable delivering both research-oriented and client-facing projects across full-time roles and freelance engagements.

Available to hire

Results-driven AI & ML Engineer with a strong foundation in building production-grade AI systems. Specializes in Agentic AI,
real-time voice agents, LLM fine-tuning (LoRA / QLoRA / PEFT), RAG pipelines, and computer vision. Proven ability to
architect end-to-end solutions from model training and optimization to cloud deployment on GCP, using Docker-based CI/CD
pipelines. Comfortable delivering both research-oriented and client-facing projects across full-time roles and freelance
engagements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Urdu

Advanced

Work Experience

AI Engineer at Self-employed - Lahore, Pakistan

April 1, 2025 - Present

Architected end-to-end AI solutions including a low-latency AI voice agent streaming audio frames directly into a language model, achieving near-human response times. Integrated Twilio PSTN for outbound calling at scale, handled concurrent call sessions, and automated speed-to-lead workflows with GoHighLevel. Built CRM automation to update contact tags and pipeline stages in real time from live conversations. Developed an AI-driven cafe management platform with a FastAPI backend on GCP, plus Odoo ERP and Square POS integrations for unified inventory and sales reporting.

Freelance ML & Computer Vision Engineer at Upwork

January 1, 2024 - Present

Delivered real-time appointment scheduling agent (Flossie) integrated with clinic telephony to automate patient scheduling. Built a dynamic availability engine with instant two-way calendar synchronization to resolve conflicts. Implemented Stripe payments for subscriptions and loyalty referrals, driving patient retention. Created AI-driven bundles and inventory-aware backend workflows to support service platforms.

Research Engineer at Gujrat, Pakistan

September 1, 2024 - December 31, 2024

Sound Source Localization for Humanoid Robots: developed real-time sound-source localization using Time Difference of Arrival (TDOA), enabling humanoid robots to orient toward audio cues. Integrated TD OA outputs with OpenCV-based face detection and tracking to create a unified audio-visual attention system for human-robot interaction.