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Muhammad Anas KhanMK
Looking for a job

Muhammad Anas Khan

@muhammadanaskhan2

AI Engineer at Tkxel building production LLM agents and multi-agent workflows, with 20+ AI applications delivered.

Pakistan
Message

What I'm looking for

Looking for a remote and onsite AI/GenAI Engineer role focused on LLM agents, RAG, AI automation, and voice AI. Open to worldwide opportunities and distributed teams, with a focus on building and deploying production-grade AI solutions.

At Tkxel, I design and ship autonomous LLM-powered agents and multi-agent workflows for enterprise clients. I build RAG pipelines and semantic search, and harden production agents with validation, fallback handling, and prompt-injection defenses.

I’ve delivered 20+ production AI applications and built projects including NovaMart, a multi-agent e-commerce automation platform, and an AI teaching copilot with 85% response accuracy. My work also includes fine-tuning and distilling YOLOX models for edge deployment, and I’m published in Elsevier’s Machine Learning with Applications.

Experience

Work history, roles, and key accomplishments

TK
Current

AI Engineer

Tkxel

Jul 2025 - Present (1 year 3 months)

Design and ship autonomous LLM-powered agents and multi-agent workflows for enterprise clients using LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen. Evaluate AI-generated code for correctness, hallucinations, and reasoning quality, and apply advanced prompt engineering to improve agent behavior.

RE

Junior AI Engineer

Reporteq

Sep 2025 - Jun 2026 (9 months)

Designed, developed, and deployed agentic AI and LLM solutions for real-world business use cases, from experimentation through production deployment. Built LLM-integrated pipelines and reporting automations, iteratively evaluating agent outputs and refining prompt design for consistency and accuracy.

Education

Degrees, certifications, and relevant coursework

Namal University logoNU

Namal University

Bachelor of Science, Computer Science

Grade: 3.2/4.0

Pursued a BS in Computer Science with a focus on artificial intelligence, machine learning, and natural language processing, graduating in 2025 with a CGPA of 3.2/4.0.

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