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Johnny TranJT
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Johnny Tran

@baots

Lead Engineering at Miss Money Penny who built a production RAG platform and cut LLM-layer latency by 10–20%.

Vietnam
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What I'm looking for

I’m looking for a product-focused role in a collaborative, psychologically safe engineering culture with strong code-review and design-review practices. I’m especially interested in low-latency distributed systems, large-scale data platforms, and applied LLM research and evaluation.

At Miss Money Penny, I own the architecture and delivery of a production RAG platform for customer-submitted insurance documents and internal knowledge bases. I built its document-to-answer pipeline, including query routing and insurance-specific entity extraction, and reduced LLM-layer latency by 10–20% through prompt and context optimization, caching, and request batching.

At Amanotes, I developed BigQuery and Dataflow pipelines that prepared game-event data for recommendation systems, and built subscription and revenue-reconciliation flows. Earlier, I delivered features for TRUCKONNECT and backend APIs for Blueplate Hong Kong; my AI projects include a real-time eKYC solution that placed second in the Data4Life national competition and is used in production identity verification.

Experience

Work history, roles, and key accomplishments

MC

Senior Full-Stack Developer

Mitsubishi FUSO Truck and Bus Corporation

Jan 2017 - Oct 2019 (2 years 9 months)

Delivered features and refactoring for TRUCKONNECT, a connected-vehicle telematics platform for commercial fleet operators, working in a distributed Japan–India engineering organization.

Education

Degrees, certifications, and relevant coursework

UG

University of Greenwich

Bachelor of Science (Honours), Computing

Grade: Upper Second-Class Honours (2:1)

Bachelor of Science (Honours) in Computing with Upper Second-Class Honours (2:1).

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