Ayush Jasuja

Co-Founder

San Francisco, California, United States9 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-Founder of innovative AI-driven rebate management platform.
Pioneered ML-based recommender system at Nextdoor.
Expert in demystifying machine learning algorithms.

Stackforce AI infers this person is a SaaS and B2C Machine Learning specialist with a focus on revenue optimization.

Contact

ayush@speedybrand.io LinkedIn

Skills

Core Skills

Machine LearningSoftware As A Service (saas)Feed RankingSoftware DevelopmentNlpCloud Computing

Other Skills

AB TestingAI AgentsAdaptive TestingBackup and Data RetentionC#C++ERP IntegrationHadoopID ManagementJavaKafkaLinuxMonitoringNatural Language Processing (NLP)Object-Oriented Programming (OOP)

About

Bringing AI to Rebate Management. As the Co-Founder of Speedy, I'm passionate about make rebate and deduction management easy for manufacturers, distributors and buying groups! I started my tech journey at Microsoft working with big data backup and data retention, later venturing into feed ranking and personalization at Nextdoor as one of the first engineers in content ranking team. I love demystify the "black-box" nature of ML, explaining the hows and whys behind AI algorithms.

Experience

9 yrs 2 mos

Total Experience

2 yrs

Average Tenure

3 yrs 4 mos

Current Experience

Speedy labs

Co-Founder

Jan 2023 – Present · 3 yrs 4 mos · San Francisco Bay Area · On-site

AI Agents for Revenue Management
Speedy provides manufacturers, distributors and buying groups tools to track, optimize, and forecast rebate programs—turning complexity into revenue. We build workflows that analyze vendor agreements, spending patterns, and compliance risks to surface hidden rebate opportunities.
Our platform
Automates rebate tracking, claims and reconciliation; reducing manual work by 80%.
Integrates with ERPs to centralize siloed data, uncovering missed rebates opportunities.
Deliver real-time dashboards that track annual rebate revenue per customer, with alerts for deadlines and compliance gaps.
Use predictive analytics to forecast rebate outcomes and adapt strategies to market trends.

AI AgentsRebate ManagementPredictive AnalyticsERP IntegrationMachine LearningSoftware as a Service (SaaS)

Vetan | free hrms for msmes

Co-Founder

Apr 2020 – Apr 2021 · 1 yr · San Francisco Bay Area · Hybrid

'Vetan' is a Hindi term that translates to 'wage' or 'salary'. Living up to its name, Vetan is a comprehensive employee management solution designed for MSMEs, with a special focus on those in South East Asia.
The app is crafted to simplify and streamline a range of HR and administrative tasks, enabling businesses to concentrate on their primary operations. It assists businesses in efficiently managing their employees' attendance, salary, and advance payments (known as 'khatas'). Proudly, the app has catered to over 30K SMBs in South East Asia.

Nextdoor

Machine Learning Engineer

Oct 2018 – Jan 2023 · 4 yrs 3 mos · San Francisco Bay Area

As part of the founding feed ranking team we built and deployed the first ML based recommender system for Nextdoor. I built and iterated ML models - from feature engineering, model training and buildingAB testing infrastructure for feed ranking. I was also part of observability and explainability platform for the project,unboxing the black-box that's ML based models can often become.

Feed RankingMachine LearningAB TestingMonitoringPythonNatural Language Processing (NLP)

Adobe marketo

Software Engineer

Apr 2018 – Oct 2018 · 6 mos · San Mateo

Account Based Marketing using technologies like Spark, Kafka, Hadoop, Scala and Java.

ScalaJavaSparkKafkaHadoopSoftware Development

Epianalytics, part of j.d. power

NLP Engineer

Nov 2017 – Apr 2018 · 5 mos · San Diego County, California, United States · Remote

Enhanced document clustering solutions using Natural Language Processing.

Natural Language Processing (NLP)NLP

Adobe marketo

Software Development Intern

Jul 2017 – Sep 2017 · 2 mos · San Francisco Bay Area

Team: Account-Based Marketing.
Integrated Marketo's Lead to Account Matching solution with that of Lean Data.
Used technologies like Spark, Kafka, Scala and Java to implement the solution.

ScalaJavaSparkKafkaSoftware Development

Microsoft

2 roles

Software Engineer

Jul 2015 – Aug 2016 · 1 yr 1 mo · Hyderabad, India

Team: Microsoft Azure Backup
Developed backup and data retention policy of IaaS VMs registered with Azure Backup.
Worked on ID Management as a service.

Backup and Data RetentionID ManagementCloud Computing

Intern

May 2014 – Jul 2014 · 2 mos · Greater Hyderabad Area

Worked on Adaptive Testing Using Telemetry.
Project aimed at automating the testing of SaaS web applications using telemetry data
Made testing efficient, dynamic and adaptive to customer usage patterns

Adaptive TestingTelemetry