Qazi Talha
@qazitalha
I build production LLM, retrieval, and backend platforms that improve cost, latency, accuracy, and growth.
What I'm looking for
At Metal, a Y Combinator-backed startup, I've built production LLM platforms for investor research, ranking, search, and meeting intelligence. I launched an explainable recommendation engine ranking 3,000+ investors across 12 dimensions and created incremental recomputation that reuses about 90% of prior work.
I've also improved LLM cost observability, uncovered a 10–25× lower-cost routing path, and built NestJS/TypeScript orchestration for 24+ LLM tools while cutting latency 40%. Previously at 10Pearls, I developed anomaly-detection models, data and NLP workflows, and Power BI dashboards that reduced report-generation time by 30%.
Experience
Work history, roles, and key accomplishments
Software Engineer II
Metal
Aug 2025 - Present (1 year 1 month)
Led the design and launch of an explainable investor-recommendation engine, and established backend-wide LLM cost observability. Architected a multi-source investor-intelligence platform and replaced hourly calendar polling with a webhook-driven synchronization service.
Education
Degrees, certifications, and relevant coursework
Habib University
Bachelor of Science, Computer Science
2018 - 2022
Bachelor of Science in Computer Science from Habib University, Karachi, Pakistan, from 2018 to 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/qazitalha-112Job categories
Skills
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