Yash Choudhary

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Python, JavaScript, and React.
Experience in developing scalable backend systems.
Strong foundation in machine learning and data analysis.

Stackforce AI infers this person is a Fintech and Web Development specialist with strong expertise in Machine Learning.

Contact

yashchoudhary52003@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsJavaMachine LearningDeep LearningWeb DevelopmentEvent ManagementQuantitative ResearchFinancial ModelingAngularNode.jsAlgorithmic TradingData Analysis

Other Skills

High-Level DesignConvolutional Neural Networks (CNN)Multimodel SystemsProbability and StatisticsAgentic AI DevelopmentMLOpsArtificial Neural NetworksTransformersOnline AdvertisingAdobe PhotoshopMicroservicesBusiness AnalysisAnalytical SkillsOrganization SkillsFutures and Options (F&O)

About

I love continuously learning and advancing my skills in software development. I enjoy exploring new ideas and working on innovative projects. With proficiency in Python, JavaScript, React, Node.js, Core Java, Java frameworks, C++, and Docker, AWS, I am proficient in web development and DevOps. Passionate about creating scalable, efficient solutions and contributing to impactful tech projects. Always eager to learn more.

Experience

3 yrs 8 mos

Total Experience

1 yr 8 mos

Average Tenure

10 mos

Current Experience

Phonepe

Software Engineer

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India · On-site

Distributed SystemsJavaHigh-Level Design

Lexsi labs

AI Research Intern

Feb 2025 – Jul 2025 · 5 mos · Mumbai · Remote

Convolutional Neural Networks (CNN)Multimodel SystemsProbability and StatisticsDeep LearningAgentic AI DevelopmentMachine Learning+3

Kaggle

Kaggle Competition Expert

Jan 2024 – Sep 2024 · 8 mos

Convolutional Neural Networks (CNN)Probability and StatisticsMachine Learning

Amazon

Amazon ML School

Sep 2023 – Oct 2023 · 1 mo · Virtual · Remote

Gained hands-on experience implementing various machine learning algorithms using Python and deepened my understanding of deep learning concepts. Worked with Amazon experts, applying best practices in model development, optimization, and real-world data analysis.

Convolutional Neural Networks (CNN)Probability and StatisticsDeep LearningMachine LearningData ScienceArtificial Neural Networks

Radicalx

Software Engineer Intern

Apr 2023 – May 2023 · 1 mo · United States · Remote

Developed reusable Angular components, streamlining the development process and improving user engagement by 10%.
Assisted in building scalable server-side logic using Node.js and Java, enhancing system scalability and response times by 15%.
Collaborated on API integration projects, improving communication between front-end and back-end systems.
Contributed to optimizing AWS infrastructure, reducing provisioning time by 20% and enhancing real-time data streaming.

Distributed Systems

Girlscript summer of code

Contributor

Mar 2023 – Jul 2023 · 4 mos · Remote

ScalaRedisPython (Programming Language)DockerGitGolang

Worldquant

Reasearch Consultant

Sep 2022 – Dec 2023 · 1 yr 3 mos · Remote

Developed and executed alpha strategies for the European and Southeast Asian markets. Employed a multi-faceted approach incorporating fundamental analysis, price-volume dynamics, options analytics, sentiment evaluation, and social media trends. Utilized systematic risk scoring to enhance strategy accuracy and effectiveness.

Financial ModelingProbability and StatisticsFutures and Options (F&O)BacktestingQuantitative ResearchMachine Learning+6

E-cell, iit-ism

Member

May 2022 – Nov 2023 · 1 yr 6 mos · On-site

Entrepreneurship

Quantify capital

Quantitative Research Associate

May 2022 – Jun 2022 · 1 mo · Mumbai, Maharashtra, India

Developed quantitative trading algorithms and performed backtesting to optimize performance.
Extracted, analyzed, and interpreted financial data to uncover trading opportunities.
Analyzed large datasets to identify patterns and generate alpha.
Designed and implemented strategies for real-time trading execution.

Probability and Statisticsoption trading strategiesMachine Learningmarket micro structureData Analysis and ModellingAdvanced Statistics for Quant+2

Fintech club, iit ism

Fintech(IIT ISM) Member

Mar 2022 – Jan 2025 · 2 yrs 10 mos · Dhanbad, Jharkhand, India

Collaboratively organized and managed events of the Fintech Club in Technical Fest of IIT (ISM) Dhanbad Concetto 2022 including Tradathon (40k+ participants) and Businellytics (10k+ participants).

Online AdvertisingProbability and StatisticsAdobe PhotoshopMicroservicesWeb DevelopmentBusiness Analysis+5