Aayush Upadhyay

CEO

San Francisco, California, United States5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Founder of an AI talent management agency.
Expert in Machine Learning and GeoSpatial technologies.
Significant contributions to LinkedIn's backend systems.

Stackforce AI infers this person is a Backend Engineer with expertise in AI and Machine Learning.

Contact

aayush@usesnippet.app LinkedIn

Skills

Core Skills

Ai Talent ManagementMachine LearningGeospatial MlBackend EngineeringObservability

Other Skills

Artificial Intelligence (AI)C (Programming Language)Computer VisionDaskDeep LearningDistributed SystemsDistributed TracingEnglishEvent PlanningFirebaseFlutterGeospatial DataGo (Programming Language)GolangGoogle Maps API

About

Snippet is an AI talent management agency for content creators with 10K-1M followers. We automate brand deal discovery, outreach, negotiation, and contract review—so you stop spending 20+ hours a week on business development and get back to creating. Currently in closed beta.

Experience

Snippet

CEO, Co-founder

Dec 2025 – Present · 3 mos · San Francisco, California, United States · On-site

AI talent management for content creators with 10K-1M followers. We automate brand deal discovery, outreach, negotiation, and contract review—so you stop spending 20+ hours a week on business development and get back to creating.
Currently in closed beta.

AI talent managementbrand deal discoveryoutreachnegotiationcontract review

Illumio

Applied ML, Distributed Systems

May 2025 – Dec 2025 · 7 mos · Sunnyvale, California, United States · On-site

Solving for LLM Accuracy and input scaling.

MLDistributed SystemsMachine Learning

Texas a&m university

Graduate Research Assistant

Aug 2024 – May 2025 · 9 mos · College Station, Texas, United States · On-site

Developing a novel architecture combining multi-modal fusion and spatial attention mechanisms to predict Atlantic Ocean heat transport using satellite-derived sea surface height and temperature data. Engineered scalable data processing pipelines handling terabyte-scale ocean datasets through Dask-based distributed computing. Implemented custom attention visualization tools to interpret model decisions, providing insights into key oceanographic features influencing heat transport predictions.

Python (Programming Language)DaskHigh Performance Computing (HPC)PyTorchGeoSpatial MLMachine Learning

Software Engineer

Jul 2022 – Jul 2024 · 2 yrs · Bangalore Urban, Karnataka, India

Core contributor of LinkedIn's OS re-image pipeline suite for 500,000 servers.
Enabled the host life cycle suite serving 60,000 HDFS nodes
Automated zero-downtime Kubernetes plugin upgrades across a massive fleet of 15,000
machines

Go (Programming Language)gRPCDistributed SystemsBackend EngineeringKubernetes

Spenny

Growth

Oct 2021 – Jul 2022 · 9 mos · Bengaluru, Karnataka, India

Software Development Engineer Intern

May 2021 – Jul 2021 · 2 mos

Integrated Distributed Tracing deep into LinkedIn's compute allocation services handling 10,000+ QPS
Reduced Root Cause Analysis time for these services by 70%

ObservabilityPython (Programming Language)GolangDistributed SystemsDistributed Tracing