Khelan Patel
Founder And CTO at 1871
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolKhelan Patel is a founder and CTO with nine years of experience building scalable web and cloud-native systems for startups and enterprises from the Greater Seattle Area. He blends hands-on engineering—spanning DevSecOps, cloud integrations, and GenAI/LLM projects—with practical delivery leadership, having driven high-availability services at AWS and secure DoD-focused cloud solutions at Oracle. As founder of Techlusion he offers offshore/nearshore teams and developer augmentation to accelerate product roadmaps, and as a mentor at 1871 he helps startups move from 0-to-1 and scale teams and platforms. His background in data science and migration work (from SAP BW and VMware to modern cloud stacks) gives him a rare mix of data, infrastructure, and application-level insight. Notably, he has shipped large-scale microservices and introduced CDK-based IaC practices that materially improved team productivity and launch timelines.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science (Specialization in Data Science), Master’s Degree Computer Science (Specialization in Data Science) at North Carolina State UniversityBachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at Dharmsinh Desai University
Gujarati, Hindi, English
Github Skills (58)
percentage8
python8
ansible8
ssh7
userland6
automation6
devops6
distributions6
traffic5
jenkins5
pipeline5
kernel5
selinux5
linux-kernel5
provisioning5
Programming languages (4)
Github contributions (5)
patelkhelan11/BusinessIntelligence
Jul 2017 - Apr 2019
Click-Through Rate Prediction: The aim is to understand revenue dynamics in projecting Adwords to customers. Pre-processing Data: As the size of the dataset is 6GB, we might need to apply some feature selection/reduction techniques. Understanding various data-mining algorithms for binary classification problems. Implement Generalized Linear Models (logistic regression and Logistic Regression Model with SGD and L2 regularization) Comparison of various data-mining models (Using Log-loss and RMSE)
Contributions:2 PRs, 1 push, 2 branches in 1 year 9 months
data-mining-algorithmspythonaimproblemsdata-mining
patelkhelan11/patelkhelan11.github.io
Nov 2019 - Nov 2019
Contributions:12 pushes in 1 day
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