Sriram Akula

Software Engineer

United Kingdom1 yr 6 mos experience

Most Likely To Switch

Key Highlights

Developed AI classifiers for cancer diagnosis.
Implemented advanced features in gaming engines.
Optimized latency in trading systems.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Embedded Systems.

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Skills

Core Skills

Software Engineering PracticesEmbedded SystemsFront-end DevelopmentComputer GraphicsBack-end Web DevelopmentMachine Learning

Other Skills

C++Linux KernelPythonJavaScriptWebGLPyTorchLow Latency TradingProblem SolvingData AnalysisNumPyPCIeDMACompilersStatisticsNatural Language Processing (NLP)

About

I am an undergraduate computer science student at Cambridge interested in software engineering and machine learning.

Experience

1 yr 6 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Selini

Software Developer

Sep 2024 – Apr 2025 · 7 mos · London, United Kingdom

Exchange connectivity development (order entry and market data feeds)
Research and development across the stack for optimizing latency (algorithm, network, kernel etc.)

C++Linux KernelSoftware Engineering Practices

Amd

Software Developer Intern

Jul 2023 – Sep 2023 · 2 mos · Cambridge, England, United Kingdom · On-site

Worked on the firmware team for AMD's SmartNIC product line - received full time return offer
Designed and implemented a library for type safe pointer serialization/deserialization to support seamless firmware updates and then applied this library to the saving of firmware structures which facilitate DMA for PCIe devices.
Designed and built a robust unit-testing framework for C code in Python which decreased the setup required to run unit-tests across firmware.

C++Embedded Systems

Snap inc.

Software Engineer Intern

Jun 2022 – Sep 2022 · 3 mos · London, England, United Kingdom

Introduced mesh based ray-tracing using spatial acceleration data structures, which was a highly requested feature for the PlayCanvas engine.
Designed and built a new authentication system which makes it easier to add new providers to use for signing in and creating accounts on PlayCanvas.
Implemented new UI features in the PlayCanvas editor for searching, color customization, gradient customization and version control.

JavaScriptWebGLFront-End Development

Keele university

Machine Learning Researcher

Jan 2021 – Jan 2022 · 1 yr · Remote

Carried out a comprehensive study of a haematology dataset under the supervision of Professor Paul Cool and Professor Peter Andras. Used machine learning methods to extract relationships between blood tests and cancer diagnoses and build AI based cancer diagnosis classifiers.
Presented research results at the BOOS Annual Conference 2021, Bristol and published in the Methods Journal.

Machine LearningPyTorch