Ahmed Jalil
@ahmedjalil
AI engineer specializing in scalable RAG systems and production-ready ML infrastructure.
What I'm looking for
I am an AI engineer focused on building scalable, production-ready retrieval-augmented systems and ML infrastructure. I design and deploy vector search, caching, and API services to deliver low-latency conversational experiences and reliable data pipelines.
My work includes deploying large open-source models on cloud GPUs, optimizing inference costs, and engineering end-to-end data ingestion and analytics pipelines for cryptocurrency and product recommendation use cases. I prioritize robust architecture, performance optimization, and practical automation to drive measurable business impact.
Experience
Work history, roles, and key accomplishments
AI Engineer
Tangent
Mar 2025 - Present (11 months)
Built modular retrieval and API tooling enabling end-to-end membership plan recommendations, cut response latency by 40% with Redis caching, and deployed GPT-OSS 20B on GCP to reduce inference costs by 15% while maintaining sub-second responses.
AI Engineer
Authornate
Sep 2024 - Feb 2025 (5 months)
Developed a RAG chatbot and data ingestion pipelines for large-scale cryptocurrency datasets, automated market data extraction and risk analysis, and deployed scalable analytics endpoints on Google Cloud Functions.
Education
Degrees, certifications, and relevant coursework
FAST National University of Computer and Emerging Sciences (FAST-NU)
Bachelor of Science, Data Science
Bachelor of Science in Data Science from FAST National University of Computer and Emerging Sciences, Islamabad.
Availability
Location
Authorized to work in
Job categories
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