Shubhanshu Saxena

Software Engineer

India3 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led development for Xbox with 1.4B+ users.
Created Alpha Engine enhancing trading strategies.
Boosted FFmpeg performance by 14%.

Stackforce AI infers this person is a Software Engineer with expertise in AI and Fintech.

Contact

Skills

Core Skills

Software DevelopmentWindowsQuantitative FinanceArtificial IntelligenceMachine Learning

Other Skills

.NET FrameworkAlgorithmic TradingAmazon Web Services (AWS)Artificial Neural NetworksC (Programming Language)C#C++Cascading Style Sheets (CSS)Computer VisionDartData StructuresDatabasesDebuggingDeep LearningDjango

About

Hello, I'm Shubhanshu Saxena, a computer science enthusiast with a background in tinkering with computers since grade 7. My interest in low-level Windows features, such as the registry, led me to discover my love for computer science, and I have been building my skills ever since. I am particularly interested in building software that provides a solid infrastructure for user-facing applications. My goal is to give fellow developers the freedom to create new and exciting features on top of our work, ultimately improving the overall customer experience. In addition to my professional work, I am an active contributor to open-source projects and have been exploring various technologies such as web development, mobile development, and machine learning. Recently, I've been focusing on deep learning, and I'm excited to see where this journey takes me. You can also find me on GitHub as shubhanshu02. Let's connect and explore opportunities to collaborate and build innovative solutions together.

Experience

3 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr 11 mos

Current Experience

Graviton research capital llp

Software Engineer

Jul 2024 – Present · 1 yr 11 mos

Problem SolvingTypeScriptC++WindowsReact NativeSoftware Infrastructure+2

Microsoft

Software Engineer

Jul 2023 – Jul 2024 · 1 yr · Hyderabad, Telangana, India · On-site

◦ Windows India Engineering: Led the Xbox inline purchase experience on Windows 11 Settings Homepage, with over 1.4B+ monthly active users and automated the payload testing for Xbox alerts using Power Automate
◦ Collaborated with four teams in Redmond, authoring technical design specifications, contributing to low-level design discussions, and reviewing pull requests across multiple projects to drive cohesive and strategic development efforts

Quantitative ResearchQuantitative Finance

Worldquant

Quant Research Consultant

Apr 2023 – Sep 2023 · 5 mos

◦ Analyzed the impact of fundamental, options, and analyst datasets alongside various Barra risk factors on stock performance, contributing over 100+ alphas for the US region to enhance the trading strategies
◦ Created Alpha Creation Engine on Jupyter notebooks to backtest alpha ideas over 1000+ datafields and perform automated search using the WorldQuant Brain APIs

Prompt EngineeringProblem SolvingPython (Programming Language)Large Language Models (LLM)Artificial Intelligence

Pi school

School of Artificial Intelligence Fellow

Mar 2023 – Apr 2023 · 1 mo · Rome, Latium, Italy · Hybrid

Selected among 10 other engineers around the world for the School of AI Fellowship to work on a business problem for Pi School in a team of 3
Improving Chatbot Effectiveness: Designed a prototype to test the effectiveness of chatbots in a team of 3 using selenium and LLMs as human imitators while automating the process and saving around €833 per benchmarking session

Software DevelopmentProblem SolvingParserDatabasesMicrosoft AzureGit+6

Microsoft

Software Engineering Intern

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India · Remote

Interned with the Threat Defense Engineering team: Deprecated the third-party dependencies to make event ingestion pipelines more secure and operationally efficient while also expecting savings of around $30,000 per year across all regions
Designed a serverless Azure Function: Expected to process about 10 billion events a day across all instances and collaborated with various people from other teams to understand the APIs better and correct problems with documentation

Image ProcessingFfmpegSoftware DevelopmentProblem SolvingC (Programming Language)Machine Learning+9

Google summer of code

Student Developer at Intel Video and Audio for Linux

May 2021 – Aug 2021 · 3 mos

Google Summer of Code: Boosted the Deep Neural Networks filter performance of FFmpeg by over 14% in TensorFlow backend by developing an asynchronous inference mode using multi-threading.
Refactored existing code: Converted to a task-based mechanism and unified execution modes in all three backends using a task-based mechanism and resolved memory leaks.

Image ProcessingFfmpegSoftware DevelopmentProblem SolvingC (Programming Language)Machine Learning+9