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Malik Haroon Khokhar

@malikharoonkhokhar

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Applied AI Engineer building production LLM/RAG, computer vision, and RL systems across domains.

Pakistan

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What I'm looking for

I want to build production-grade applied AI—LLM/RAG, agentic workflows, and computer vision—paired with strong MLOps and cloud deployment. I’m excited by teams that value architecture ownership, fast iteration, and measurable impact.

I’m an Applied AI Engineer with 2+ years of building production LLM/RAG pipelines, computer vision systems, and reinforcement learning agents across domains like Healthcare, Gaming, and Legal Tech—deploying on GCP and AWS. I focus on turning research-grade ideas into reliable, scalable systems with strong architecture, fast iteration, and measurable outcomes.

As a Co-founder & AI Engineer, I lead full-cycle engineering for international clients and own AI architecture decisions across LLM integrations, agentic workflows, and deployment infrastructure. I led a full rebuild of a consumer voting-information app—shipping voice agents, RAG systems, and intelligent automation tooling to production on major mobile platforms.

In prior roles, I led end-to-end AI solutions and managed mission-critical model development and deployment. I built RAG-style and multi-agent pipelines, designed and trained RL models (PPO and Imitation Learning) for complex 3D environments, and delivered high-performance Python backends (FastAPI, async patterns) with robust MLOps, CI/CD, and cloud scaling. I’ve also delivered real-time CV using PyTorch/OpenCV and integrated cutting-edge components like Segment Anything and PaddleOCR, plus built offline voice assistant and multimodal pipelines for privacy-focused, low-latency experiences.

Experience

Work history, roles, and key accomplishments

Current

Co-founder & AI Engineer

Current

OudenX

Dec 2025 - Present (5 months)

Co-founded and led AI engineering for a US voting-information app, rebuilding Votcen and shipping it on iOS and Android. Delivered voice agents and RAG systems and owned LLM integration, agentic workflows, and deployment architecture for client engagements.

LLM Integrations AI Architecture GCP AWS

AI/Ml Engineer

Geniteam Solutions

Apr 2025 - Feb 2026 (10 months)

AI Leadership: Led full-cycle AI delivery across Healthcare, Gaming, Legal Tech.
Game AI/RL: Trained RL agents (PPO, Imitation Learning) in Unity ML-Agents; automated testing.
LLMs/RAG: Built RAG and multi-agent pipelines on Transformer fundamentals.
MLOps: Large-scale data, eval pipelines; CV in real-time tooling.
Backend: Python, FastAPI, async, Linux, CI/CD.
Cloud: GCP, AWS, Bedrock.

Associate Software Engineer

OPUS AI

Jan 2024 - Dec 2024 (11 months)

Developed fully parametrized interactive assets using UE Blueprints and C++. Implemented complex physics systems from scratch to ensure high functionality and performance standards.Engineered advanced CV solutions using PyTorch and OpenCV for real-time tracking, segmentation, and pattern recognition. Integrated state-of-the-art models like SAM and PaddleOCR for object detection and encoders.