A role where the AI systems I build are directly tied to the product's core value, not a side initiative. I want to own the pipeline end-to-end, from architecture to production, and be measured on whether it works at scale, not whether it ships on time.
Muhammad Hassan
@mhassan
AI Automation Engineer building revenue-driving, production-grade LLM pipelines and agentic workflows.
What I'm looking for
I build production-grade AI systems that convert messy real-world inputs into structured outcomes companies can rely on. At FreeWill, I architected end-to-end AI scraping and LLM extraction pipelines that scaled the grant database from zero to 36,000+ opportunities, powering the company’s primary revenue product.
I’m obsessive about reliability and measurable business impact: multi-step prompt architectures with JSON schema validation reached 97%+ production accuracy, and agentic automation cut generation costs by 80%+ while increasing throughput by 30–50%. With a finance-to-AI background, I also built the operational and financial infrastructure (banking, payroll, audit, SECP compliance, cap table management) that lets teams scale with institutional rigor.
Experience
Work history, roles, and key accomplishments
Architected a dual-agent agentic pipeline across 70,000+ independently designed funder websites, each with no shared schema or predictable URL structure. Five conventional approaches failed before this architecture emerged. The result: FreeWill's grant database scaled from zero to 36,000+ structured opportunities, now the direct commercial backbone of the company's primary revenue product.
Built all financial and operational infrastructure from scratch across banking, payroll, external audit, SECP compliance, and cap table management, with no prior structure in place. Delivered institutional-grade operations from day one, enabling the company to scale with full regulatory rigor and strong financial discipline while entering a new, operationally complex overseas market.
Assistant Manager Finance
Nishat Group
May 2023 - Oct 2024 (1 year 5 months)
Core analytical role in the NCL/NCPL Scheme of Arrangement, a PKR 100B+ combined corporate restructuring. Built all valuation models and transaction materials used in board and regulatory approvals, each carefully stress-tested across multiple capital scenarios. Among the largest and most complex corporate restructurings completed in Pakistan's industrial and manufacturing sector.
Education
Degrees, certifications, and relevant coursework
Lahore University of Management Sciences (LUMS)
Bachelor of Science, Accounting & Finance
2019 - 2023
Activities and societies: Applied Corporate Finance; Fintech Revolution; Portfolio Management; Computational Problem Solving; Strategic Business Management.
Completed a BSc in Accounting & Finance at LUMS (2019–2023), covering Applied Corporate Finance, portfolio management, and strategic business management. Coursework also included computational problem solving.
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Location
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Salary expectations
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