# Ayush Khandelwal

> AI Search Security @ Google

Location: San Francisco, California, United States
Profile: https://flows.cv/ayushkhandelwal

I'm a Security Software Engineer & Data Scientist looking to use my passion for technology to positively impact the world!

My leadership skills, combined with my strong technical ability and passion for building tools that can empower individuals make me an excellent fit for roles on customer facing teams.

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | San Francisco Bay Area
Gemini Model Weight Security
Infrastructure Existential Threats
Access Intelligence & Risk Reduction 
Technical Mentor, Google for AI Startups

### Industry Course Assistant - Performance Systems @ Massachusetts Institute of Technology
Jan 2022 – Jan 2023 | Cambridge, MA
Industry Course Assistant - MIT 6.107 with Professor Saman Amarsinghe & Professor Charles Leiserson

### Staff Software Engineer @ IBM
Jan 2022 – Jan 2022 | Cambridge, Massachusetts, United States
Security Innovation Team

### Software Engineer @ IBM
Jan 2021 – Jan 2022 | Cambridge, Massachusetts, United States
• Spearheading technical project development for a highly fault-tolerant security alerting system with reach over the company’s 350,000+ employees using Flask, Docker, Cloudant & RedHat OpenShift
• Developed a GitHub confidentiality scanning & remediation tool for all internal repositories using Python & Kafka to prevent exposed Cloud IAM tokens & secrets from being exploited
• Developed NLP models for data anonymization on IBM Guardium to protect & regulate sensitive data in log files
• Mentored & Judged HackMIT for MIT-Watson AI Labs & submitted 3 patent disclosures in the field of cybersecurity

### Chair of UMass ACM @ ACM, Association for Computing Machinery
Jan 2018 – Jan 2021
• Leader of the executive board of the largest student-run tech organization in Western Mass with 560 members
• Secured sponsorships and led programming workshops and tech talks with Google, Facebook, and Mathworks
• Spearheaded a 770% membership growth over 2 years & awarded the International ACM Student Excellence Award 2020 & Outstanding Leadership Award 2019 & 2020

### Software Engineer @ Reich Labs
Jan 2020 – Jan 2020 | Amherst, Massachusetts, United States
• Worked with the Center for Disease Control and Prevention (CDC) to develop scalable data architectures, visualizations, and data curation software for COVID-19 Forecasting at UMass Reich Labs.
• Empowering policymakers to make informed decisions regarding COVID-19 reopenings based on over 25 ensemble models for COVID-19 prediction
• Developed data ingestion & ETL pipeline for over 105 million rows of COVID forecast data.
• Developed ensemble visualizations using TypeScript & Vue.js.

### Teaching Assistant - CS397 Predictive Analytics with Python @ College of Information and Computer Sciences, UMass Amherst
Jan 2020 – Jan 2020 | Amherst, Massachusetts, United States
Fall 2020 - CS397A Predictive Analytics with Python

### Software Engineering Intern @ IBM
Jan 2020 – Jan 2020 | Austin, Texas, United States
• Created a distributed threat detection engine for real-time event processing of over 6 million logs a day
• Designed & deployed a highly scalable, low-latency architecture using Apache Kafka, Nifi, Flink & Java
• Delivered real-time analytics, anomalies, and metrics through dashboard visualizations using ElasticSearch & Kibana

### Teaching Assistant - CS326 Web Programming @ College of Information and Computer Sciences, UMass Amherst
Jan 2020 – Jan 2020 | Amherst, MA
Spring 2020 - CS326 Web Programming

### Software Engineering Intern @ IBM
Jan 2019 – Jan 2019 | Greater New York City Area
• Built an ETL Pipeline for 170k+ employees with Elastic Stack & Python to revamp insider threat detection with ML-based baselines for targeted action
• Won the “Rhonda Childress Award for Inventive Design” for prototyping a cloud security offering

### Blockchain Developer @ Adventure Corporation
Jan 2018 – Jan 2019 | Greater Los Angeles Area
• Designed a Blockchain-based Music Streaming service using Non-Fungible Tokens(NFTs) on the Ethereum Blockchain
• Developing interoperable, tradable, and saleable tokens on ERC20 and ERC721 frameworks using Solidity.

### Software Development Intern @ FREND
Jan 2018 – Jan 2018 | Gurgaon, India
• Developed and designed components for an internal dashboard to provide data analytics, visualizations, and vital metrics using AngularJS and TypeScript.
• Developed a data collection tool using Python to automate data transformation, saving the company up to 135 hrs/week.
• Collected and analyzed feedback from users and curated a list of functionality requirements and bug fixes with timeframes, delegating tasks among team members


## Education
### Bachelor of Science - BS in Computer Science
University of Massachusetts Amherst
Jan 2017 – Jan 2021

### High School Diploma
The Shri Ram School
Jan 2009 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/ayushkhd

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Source: https://flows.cv/ayushkhandelwal
JSON Resume: https://flows.cv/ayushkhandelwal/resume.json
Last updated: 2026-03-22