Divpreet Dhingra

Software Engineer

United States0 mo experience

Key Highlights

  • Developed an Instagram feature for 140M+ users.
  • Created a chrome extension for job referrals.
  • Boosted ML model accuracy by 54% in cybersecurity.
Stackforce AI infers this person is a Software Engineer with expertise in AI/ML and frontend development for social media and cybersecurity.

Contact

Skills

Core Skills

Software DevelopmentFrontend DevelopmentApi IntegrationMachine LearningData Analysis

Other Skills

KotlinJetpack ComposeReact.jsTypeScriptTailwind CSSGitsoftware development lifecycle (SDLC)unit testingPythonScikit-learnNumPyPandasTensorFlowFigmaPostgreSQL

About

Hey there! I'm Div, a CMPE Senior @ SJSU and I'm actively recruiting for New Grad SWE opportunities! Don't hesitate to reach out πŸ‘¨β€πŸ’»: divpreet.dhingra@sjsu.edu

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Meta

Software Engineer

May 2025 – Aug 2025 Β· 3 mos Β· Menlo Park, CA

  • πŸ’¬ Instagram Creator Fandom (Stories, Lives, Broadcast Channels)
  • Owned end-to-end development of a new Instagram Channels feature enabling interactive polling experiences for πŸ­πŸ°πŸ¬π— + π˜‚π˜€π—²π—Ώπ˜€, leveraging frontend UI implementation & design, scalable data modeling, low-latency client-server API integration, and user-testing & validation.
KotlinJetpack ComposeSoftware DevelopmentFrontend Development

Bank of america

Global Technology Early Insights Fellow

Jan 2024 – Jan 2024 Β· 0 mo

  • β€’ Mobile & AI Technologies, Agile Methodologies, Grow Your Career

Refer me

Software Engineer Intern

Dec 2023 – Mar 2024 Β· 3 mos Β· Seattle, Washington, United States Β· Remote

  • Engineered a chrome extension in React.js and TypeScript to simplify the referral process for 100K+ job candidates
  • Spearheaded the Quick Referral feature, enabling one-click referral requests by querying refer.me’s internal database of referrers across 1K+ companies
  • Designed internal tooling that streamlined application development, e.g. a reusable React dropdown component
  • Relevant skills / technologies: React.js, TypeScript, Tailwind CSS, Git, software development lifecycle (SDLC), unit testing
React.jsTypeScriptTailwind CSSGitsoftware development lifecycle (SDLC)unit testing+2

San jose state university

Artificial Intelligence Intern

Aug 2022 – May 2023 Β· 9 mos Β· San Jose, California, United States

  • Trained and Tested a supervised Machine Learning Model to bypass Malware Obfuscation techniques by using Python libraries to classify API-calls across 121 Malware Families in Google Colaboratory
  • Boosted ML-Model Accuracy by 54% via ML algorithm refactorization and data extraction, collaborating w/ Team of 9
  • Retrieved Malware API-call data sets of ∼240 - 250 API calls by sandboxing a 31K Malware-file folder
  • Constructed C++ program to map Malware Files to Families by parsing 8 csv-sheets of 590K file-family combinations
  • Relevant skills / technologies: Python, Scikit-learn, NumPy, Pandas, TensorFlow, Virtual Box, collaboration, software development
PythonScikit-learnNumPyPandasTensorFlowMachine Learning+1

Education

San JosΓ© State University

Bachelor of Science - BS β€” Computer Software Engineering

Jan 2022 – Jan 2026

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