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Usman SiddiquiUS
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Usman Siddiqui

@usmansiddiqui3

Founding Engineer at Lumida Wealth who cut mobile load times by 90% and infrastructure costs by 85%.

Pakistan
Message

At Lumida Wealth, I architected an automated trade execution engine that generates broker-specific trade sheets in under 30 seconds, and re-architected the mobile platform to cut per-user infrastructure costs by approximately 85% and load times by 90%.

I also engineered an in-house equity factor analytics engine that saves $50K+ annually in enterprise software fees, and a market data streaming engine processing 7,000+ live price ticks per second. As a founding engineer, I helped scale the engineering team from 0 to 10 and delivered internal financial modules and a B2C mobile app.

Experience

Work history, roles, and key accomplishments

LW
Current

Founding Engineer & Software Architect

Lumida Wealth

Nov 2024 - Present (1 year 11 months)

Architected an automated trade execution engine and re-architected the mobile platform to an edge-first CDN model, cutting per-user infrastructure costs by 85% and load times by 90%. Scaled the engineering team from 0 to 10 and delivered 50+ internal modules and a 10+ module B2C mobile app.

BE

Senior Software Engineer

Beam.ai

Apr 2024 - Nov 2024 (7 months)

Coached a high-performing development team, boosting productivity by 40% through targeted feedback and pairing. Resolved critical platform-integration issues for Carbon and delivered scalable software solutions for the agentic process automation platform, improving system reliability and performance by 35%.

WL

Software Engineer

Wordfibre Ltd.

Apr 2021 - Jun 2022 (1 year 2 months)

Architected scalable solutions that improved system reliability by 30% and increased throughput by 25%. Mentored engineering talent, boosting team productivity by 40% and improving code quality.

NF

Associate Software Engineer

NVIDIA-Syslab, FAST-NUCES

Nov 2020 - Apr 2021 (5 months)

Managed clusters with high-performance GPUs, enabling efficient training of multiple deep learning models. Automated deep learning model training via fog-layer computing, implementing FIFO and priority-based scheduling across clusters for optimal resource utilization.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computer and Emerging Sciences logoFS

FAST National University of Computer and Emerging Sciences

Bachelor of Science, Computer Science

2018 - 2022

Grade: 3.5+ GPA

Activities and societies: Dean's List (3.5+ GPA), 3 of 8 semesters; Winner, Coders Cup 2018 and 2021

Bachelor of Science in Computer Science. Dean's List (3.5+ GPA) for 3 of 8 semesters; winner of Coders Cup 2018 and 2021.

FAST National University of Computer and Emerging Sciences logoFS

FAST National University of Computer and Emerging Sciences

Web Programming with ReactJS, Web Programming

2021 - 2021

Completed a certification in Web Programming with ReactJS from January to July 2021.

FAST National University of Computer and Emerging Sciences logoFS

FAST National University of Computer and Emerging Sciences

Server-Side Development (Node.js/NestJS), Server-Side Development

2021 - 2021

Completed a certification in Server-Side Development (Node.js/NestJS) from April to June 2021.

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