wassay sajjad | Founding AI ML Engineer

AI Startup

On-siteOn-siteFull-time$140k – $220k / year

About this role

Wassay Sajjad AI/ML Engineer @ ActualAIz | LLMs, NLP, Applied AI | LUMS CS Lahore, Punjab, Pakistan (PK) 500 connections • 1,113 followers About I build ML and LLM systems that have to survive production, not just hit benchmarks. I'm the founding ML engineer at Actualaiz, where I own the model layer end-to-end: data pipelines, training, retrieval and agents, evaluation, deployment, and the on-call that comes with all of it. Building from zero with a small team has been a fast way to learn how ML systems actually behave once they meet real users. I like building from zero, taking a vague AI problem and choosing the right tool for it, whether that's a simple baseline or a more complex system. Most of what I ship is LLM-application work: RAG, agents, fine-tuning, the evals that catch regressions, and the serving infra that keeps latency honest. Right now I'm spending more time on agentic systems, post-training, and ML-infra problems, where reliability matters as much as accuracy. I'm open to ML Engineer, AI Engineer, and Applied Research / Applied Scientist roles at companies serious about getting AI into production. Happy to talk about LLM systems, evals, or what breaks in production. Reach out anytime. Total Experience: 4 years and 3 months Experience Founding AI ML Engineer - Actualaiz(https://www.linkedin.com/company/actualaiz) (Current) Jun 2024 - Present (2 years and 1 month) in Lahore, Punjab, Pakistan Actualaiz is a Generative AI consultancy and product studio building tailored LLM products, internal tools, and AI integrations for B2B and B2C clients across enterprise, education, and healthcare. - Architected and deployed production-grade LLM systems as the founding ML hire, owning end-to-end design, implementation, and deployment of multiple internal and client-facing products - Engineered scalable LLM pipelines spanning retrieval-augmented generation (RAG), structured output generation, few-shot prompting, and fine-tuning of language m

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