Ayush Goyal
Senior Software Engineer at Cloudera
Jaipur, Rajasthan, India
Summary
🤩
Rockstar🎓
Top SchoolAyush Goyal is a Senior Software Engineer with 8 years of experience building full-stack systems at Cloudera, where he progressed from Associate to Senior Engineer. Trained as an electrical engineer at IIT (BHU) Varanasi, he blends strong analytical foundations with hands-on expertise in backend services, UI visualization, and task orchestration. His open-source work includes a load-forecasting project that applies ARIMA and deep learning models to electricity demand and demonstrates practical skills integrating server code, databases, Celery tasks, and front-end libraries like c3.js. Based in Jaipur, he excels at shipping end-to-end features that connect data science models to production interfaces, and he often bridges the gap between ML prototypes and scalable engineering solutions.
8 years of coding experience
4 years of employment as a software developer
mathematics and Science, mathematics and Science at Shiv Jyoti Senior Secondary School (Kota)Bachelor of Technology, Electrical Engineering, Bachelor of Technology, Electrical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
English, Hindi
Github Skills (18)
back-end-development10
python10
django10
time-series-forecasting10
front-end-development10
arima9
bootstrap9
gru9
javascript9
lstm9
bootstra9
html8
celery8
machine-learning8
data-engineering7
Programming languages (3)
Github contributions (5)
pyaf/load_forecasting
Feb 2018 - Oct 2018
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:26 commits, 43 PRs, 18 pushes in 7 months
Contributions summary:Ayush primarily contributed to the front-end and back-end aspects of the project. Their contributions involved adding and modifying server-side code, including implementing a new server folder. They integrated and updated front-end libraries such as c3.js and Bootstrap, and also made changes to template files, indicating UI and visualization work. Furthermore, the commits show involvement in updating the database and setting up a celery task.
forecastingpythonelectric-load-forecastingwmatime-series
agl29/hue
May 2024 - Mar 2025
Open source SQL Query Assistant service for Databases/Warehouses
Contributions:2 PRs, 42 pushes, 2 branches in 10 months
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