Looking for a job

Abdul Haseeb Shaikh

@abdulhaseebshaikh2

AI Engineer at Turing’s Frontier AI Labs building RL environments and evaluation systems used to assess 10 frontier models.

Pakistan

Message

What I'm looking for

I’m looking for a remote role in RL environments, LLM evaluation or applied AI engineering.

At Turing’s Frontier AI Labs, I build reinforcement learning environments and evaluation infrastructure that frontier labs use to train and assess models. I’ve written the first Dockerized Harbor environments on projects, reviewed more than 2,000 tasks and trajectories, and helped evaluate 10 models.

Before Turing, I ran Cloud Mesh Solutions and led engineering across SaaS and marketplace products, after starting in backend engineering. I also compete in national CTFs, a perspective I bring to reward design and checks for answer leakage and reward hacking.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer, RL Team

Current

Turing

Nov 2024 - Present (2 years)

Member of Turing's RL team in the Frontier AI Labs department, building RL environments and evaluation infrastructure for frontier labs. Reviewed over 2,000 tasks and trajectories for verifier correctness, answer leakage, and reward hacking.

Reinforcement Learning Environments LLM Evaluation Docker fastAPI Redis PostgreSQL Docker Compose React Python TypeScript NodeJS Harbor BrowseComp SkillsBench Pytest CI CD EC2 Git

CEO and Head of Engineering

Cloud Mesh Solutions (Pvt) Ltd

Nov 2022 - Dec 2024 (2 years 1 month)

Ran a company of around 30 people and led its engineering team across several SaaS and marketplace products for international clients. Owned architecture, delivery, hiring, and client relationships.

NodeJS TypeScript Python Django Next.js Flutter Wallee CI CD Docker Code Review Mentorship

Lead Software Engineer

Ripple Intra Technologies

Aug 2021 - May 2022 (9 months)

Worked on apps for Concord Healthcare Group, owning backend and DevOps with Python (Flask) and TypeScript (Express), Docker-based microservices, and AWS EC2. Promoted to lead in March 2022, setting up delivery pipelines and engineering workflow.