👋 Hello, I'm

Ankit Hriday

📍 Denver, Colorado

Lead Software Engineer

Lead Software Engineer at Nike, building scalable APIs, data platforms, and cloud infrastructure. Specializing in Python, FastAPI, AWS, and Kubernetes, with a focus on GenAI solutions.

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About Me

Lead Software Engineer at Nike with a unique journey from Aerospace Engineering to full-stack development and cloud architecture. Passionate about building scalable systems, APIs, and data platforms that power innovation and business decisions.

My Journey

Started with Aerospace Engineering at UC Boulder, then discovered my passion for software engineering and cloud technologies. Over the past 6+ years, I've built scalable APIs, data platforms, and cloud infrastructure at Nike.

Promoted to Lead Software Engineer in 2023, I design enterprise-scale software solutions, from FastAPI backends to Kubernetes infrastructure, and lead AI/ML initiatives including demand forecasting systems using DeepAR and Delta Live Tables.

Currently transitioning to Nike's GenAI team, where I'm excited to apply my full-stack engineering and infrastructure expertise to cutting-edge AI solutions.

Cloud Architecture

AWS expert with deep expertise in scalable infrastructure design

Data Engineering

Building robust data pipelines and ML platforms at enterprise scale

DevOps & Kubernetes

Managing 40+ EKS clusters and automated deployment pipelines

Innovation

Leading GenAI initiatives and cutting-edge ML solutions

Technical Expertise

6+ years of experience building enterprise-scale infrastructure and data platforms at Nike, with expertise spanning cloud architecture to machine learning deployment.

Software Engineering

Python & Go90%
FastAPI & Node.js85%
API Development88%
SQL & NoSQL Databases88%

Data & ML Platform

Apache Spark & Hadoop90%
AWS SageMaker & DeepAR85%
Databricks & Delta Live Tables82%
EMR & Data Pipelines88%

Cloud & Infrastructure

AWS (EC2, EKS, VPC, S3)95%
Kubernetes & Docker92%
Terraform (IaC)90%
Jenkins CI/CD88%

Featured Projects

Enterprise-scale solutions and open-source contributions that demonstrate expertise in cloud architecture, data engineering, and ML platform development.

Pterradactyl

Heavy contributor to Nike's open-source Terraform wrapper that abstracts TF configuration from environment setup. Built with Python, it enables hierarchical YAML-based infrastructure management with secrets support.

PythonTerraformAWSYAMLInfrastructure as Code

AI Demand Forecasting Platform

Led development of ML platform using DeepAR for demand sensing and forecasting. Deployed on AWS with Databricks for data processing and SageMaker for model hosting.

DeepARAWS SageMakerDatabricksApp RunnerPython
Enterprise Project

Enterprise EKS Automation

Designed and implemented automated deployment system for 40+ EKS clusters using Terraform and Helm. Custom Kubernetes controllers for cross-account automation.

KubernetesEKSTerraformHelmCustom Controllers
Enterprise Project

Nike Data Architecture

Architected scalable data infrastructure supporting multiple teams. Built Jenkins pipelines, managed EMR clusters, and implemented Spark-on-Kubernetes solutions.

Apache SparkEMRJenkinsPythonKubeflow
Enterprise Project

Let's Connect

Interested in discussing cloud architecture, data engineering, or GenAI opportunities? I'm always open to connecting with fellow engineers and exploring innovative projects.

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Location

Denver, CO 80238

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