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Laksh Gehani

@lakshgehani

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Physics graduate and software engineer specializing in quantitative models, ML, and cloud-native systems.

United Kingdom

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What I'm looking for

I seek hands-on roles applying ML and cloud engineering to financial or data products, with collaborative teams and measurable impact opportunities.

I am a Physics BSc graduate from Imperial College London with hands-on experience building cloud-native software, machine-learning models, and quantitative trading systems. I have led projects that improved option-pricing accuracy, deployed full-stack web products, and reduced production incident resolution and resource overheads through automation and profiling.

I combine strong quantitative training with practical engineering skills — Python, React, AWS, Kubernetes — to deliver performant systems and data-driven products. I seek roles where I can apply ML, cloud engineering, and financial modelling to produce measurable business impact.

Experience

Work history, roles, and key accomplishments

Webmaster

Imperial Physics Society

Jun 2024 - May 2025 (11 months)

Rebuilt and deployed the departmental website using React and AWS, improving load speeds by 27% and managing content for ~300 monthly users through cross-functional coordination.

React AWS JavaScript HTML CSS Web Performance Content Management CI CD

Software Intern

TSYS Card Tech

Aug 2024 - Sep 2024 (1 month)

Automated root-cause analysis for a Kubernetes-based production system with Dynatrace, reducing incident resolution time by 30% and built AWS anomaly detection dashboards that cut downtime by 20%.

Kubernetes Dynatrace AWS Monitoring Python Microservices Performance Profiling Docker

Finance Intern

MineralTree

Jul 2023 - Sep 2023 (2 months)

Developed a real-time trading insights dashboard using Python, Dash and SQL with <200ms streaming latency and deployed momentum-based trading signals that outperformed baselines by 15% ROI in backtests.

Python Dash SQL WebSockets Data Pipelines Financial Modelling

Education

Degrees, certifications, and relevant coursework

Imperial College London

Bachelor of Science, Physics

2022 -

Grade: 2:1 (Upper Second Class)

Activities and societies: Relevant coursework: Data Science, Machine Learning, Computational Physics, Advanced Calculus, Differential Equations, Real & Complex Analysis, Corporate Finance, Accounting.

Pursuing a Bachelor of Science in Physics with coursework in data science, machine learning, computational physics, advanced calculus, differential equations, real and complex analysis, corporate finance, and accounting; achieved 2:1 (Upper Second Class).