Janak Chadha
Software Engineer at Cashmere
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJanak Chadha is a software engineer with nine years of experience who blends data engineering and applied machine learning expertise, currently working at Cashmere and pursuing graduate studies in Electrical and Computer Engineering at UCLA. He has built production data systems at Amazon and Fidelity and has taught MS Business Analytics cohorts hands-on data management, SQL, AWS, Python, and Tableau. His recent research and industry work targets clean energy applications, including optimal sizing of heavy-duty EV charging stations and a data science internship focused on energy systems. As an open-source contributor, he added TensorFlow-based ML examples and evaluation metrics to a widely used multi-language algorithms repo, demonstrating both practical model implementation and thoughtful code organization. Janak’s background spans the full lifecycle from model prototyping to scalable data pipelines, and he seeks roles applying ML and signal processing to renewable and clean technology ventures.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech) Electrical and Electronics Engineering, Bachelor of Technology (BTech) Electrical and Electronics Engineering at Visvesvaraya National Institute of TechnologyUniversity of California, Los Angeles
English, Hindi, Spanish
Stackoverflow
1reputation
239reached
0answers
1question
Github Skills (13)
tensorflow10
python10
scikit-learn9
computer-science9
scikit9
machine-learning9
algorithm9
regression9
algorithms9
data-structures8
data-structure8
nltk6
pos-tagger6
Programming languages (8)
Github contributions (5)
ZoranPandovski/al-go-rithms
Oct 2018 - Oct 2019
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 5 PRs, 1 comment in 1 year
Contributions summary:Janak primarily contributed to the machine learning aspects of the repository by adding examples of basic ML algorithms using TensorFlow. These additions included a logistic regression implementation, complete with training, evaluation, and sample usage, including code that was updated to include evaluation metrics. Furthermore, the user demonstrated an understanding of software design by renaming folders to reflect the updated codebase and problem definitions.
pythoncomputer-scienceprogramming-languagejavascriptalgorithms-and-data-structures
janakrajchadha/web-monitoring-processing
May 2017 - Oct 2017
Website Monitoring project: data processing, PageFreezer integration, and (eventually) diff filtering and processing
Contributions:10 PRs, 78 pushes, 12 branches in 5 months
pythondata-processingproject-monitoringwebsite-monitoringmonitoring
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