Software Engineer, Machine Learning (Ads)
Ranking, retrieval, and machine learning systems for ads.
Software Engineer
Aviral Upadhyay
I build machine learning and software systems. This site is a simple collection of my work, projects, and links.
About
Projects, work, and a few things I like building.
I work across machine learning, backend systems, and data infrastructure.
Most of my recent work has been in ads, ranking, retrieval, and large-scale production systems.
Outside work, I like building ML, vision, and graphics projects and keeping technical notes on GitHub.
Work
Recent roles.
Software Development Engineer
LLM pipelines, data systems, and infrastructure for ads.
Software Engineer
Real-time systems for live-streaming and traffic management.
Data Solution Engineer Intern
ETL pipelines, analytics, and reporting systems.
Projects
A few projects from GitHub and my resume.
GitHub Repository
PyTorch Basic
Small PyTorch examples and notes for learning deep learning concepts.
View on GitHubResume Project
Vision-Based RL Agent for FIFA
A reinforcement learning project that learns to play from raw pixels using CNN and LSTM models.
See on resume CNN + LSTM + RLResume Project + GitHub Work
Stick Man Human
A 3D human model project using OpenGL, motion capture, and MediaPipe pose tracking.
View related GitHub repoResume Project
Human Gait Analysis and Parkinson's Detection
A gait analysis project using sensor data, Random Forest, and computer vision baselines.
See on resume Random Forest + CVTools
Languages, ML, and infrastructure.
Languages
- Python
- Go
- Java
- C/C++
- SQL
Machine Learning
- PyTorch
- Ranking systems
- Multi-task learning
- LLM inference
- Regression
Data + Infra
- Spark / PySpark
- BigQuery
- Presto
- AWS
- Linux
Links
GitHub, LinkedIn, and resume.
The best place to see more is GitHub. You can also find me on LinkedIn or download my resume here.