Shubham Yadav

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and algorithmic optimization.
Proven track record in High-Frequency Trading strategies.
Strong background in backend engineering and distributed systems.

Stackforce AI infers this person is a Fintech expert with strong backend engineering and algorithmic optimization skills.

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Skills

Other Skills

AlgorithmsArtificial IntelligenceCC++Cascading Style Sheets (CSS)CompilersData AnalysisData StructuresDistributed SystemsEngineeringFunctional ProgrammingHTMLHTML5JavaJavaScript

About

Hey there, I am interested in Machine Learning, algorithmic optimization and distributed systems, along with anything that will send me days into thinking about the problem and designing a solution. Always interested in an entrepreneurship opportunity, especially if you have a viable business plan and solves a problem in real world.

Experience

Google

Senior Software Engineer

Nov 2022 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India

Nirvana insurance

Software Engineer - Backend

Jan 2022 – Sep 2022 · 8 mos · India

Worked as a backend engineer on the product and data engineering platform.

A.p.t. portfolio private limited

2 roles

Quantitative Trader

Mar 2019 – Dec 2021 · 2 yrs 9 mos

Worked and deployed profitable High-Frequency Trades in NSE and BSE.

Software Engineer

Jun 2017 – Mar 2019 · 1 yr 9 mos

Worked on improving and adding features to the low-latency HFT trading infrastructure.

Goldman sachs

Summer Analyst

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

My work was to implement auto differentiation for faster market calibration for cross stocks
Reduced the execution time by upto 2x for two-cross Stock-cross.
Reduced the execution time by upto 30% for single-cross Stock-cross.
Implemented automatic differentiation on the MultiFX model to get the Jacobian faster than analytical method.

Infurnia

Software Engineering Intern

May 2015 – Jul 2015 · 2 mos · Mumbai, Maharashtra, India

Reduced the execution time of 3D assembly solver from ~1 minute to under 1 second.
Implemented clustering of vertices on graphs which reduces the exponential algorithm to practically linear if all clusters are of less than 3 vertices.
Used networkx for back end and FreeCAD for front end, and used graph clustering for optimization.
Converted the constraints from FreeCAD constraints to our preferable type to solve faster and more efficiently.