Hello, World! 👋

Yash Patel

I build |

MS Computer Science @ Illinois Institute of Technology · Software Engineer & Data Scientist crafting distributed systems, cloud-native APIs, and real-time data infrastructure.

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$ whoami

Yash Patel
0+ Years Experience
0+ Projects Built
0 Certifications
0 Academic Degrees
yash.js 
const yash = {
  role:       "Software Engineer & Data Scientist",
  education:  "MS CS @ Illinois Institute of Technology",
  location:   "Concord, NC",
  focus:     [
    "Distributed Systems",
    "Cloud Architecture",
    "ML-Driven Pipelines"
  ],
  status:     "Open to SWE / MLE roles"
};

I'm a full-stack software engineer with a strong backend focus, experienced in building high-throughput, low-latency distributed systems at scale. From designing Kafka-driven microservices at IBM to deploying containerized FastAPI services at BISAG-N, I thrive at the intersection of data engineering and backend infrastructure.

Concord, NC AWS Certified Full-Stack Data Scientist Open to Work MS Computer Science

$ cat skills.json

Languages

Python Java JavaScript TypeScript Go C++ SQL Bash HTML5 CSS3

Frontend

React.js Next.js Vue.js Redux Tailwind CSS Material UI Bootstrap

Backend

Node.js Express.js Django FastAPI Flask Spring Boot GraphQL REST APIs WebSockets

Databases

PostgreSQL MySQL MongoDB Redis Cassandra DynamoDB Elasticsearch

Cloud & DevOps

AWS EC2 AWS S3 AWS Lambda AWS ECS/EKS GCP Docker Kubernetes Terraform GitHub Actions Jenkins Nginx

Architecture

Microservices Event-Driven Low-Latency TDD Agile/Scrum Secure API Design High Availability Kafka

$ git log --work

Data Scientist Intern

Softnice, Inc.

USA

Dec 2025 – Present Active
  • Developing data-driven and ML-enabled backend services using Python, SQL, and cloud-native tools to support enterprise and client-facing applications.
  • Designing and optimizing data pipelines and APIs for analytics and reporting, focusing on performance, scalability, and data reliability.
  • Collaborating with cross-functional engineering and product teams in an Agile environment to translate business requirements into production-ready solutions.
Python SQL Machine Learning Cloud-Native Agile

Data Scientist

BISAG-N (Bhaskaracharya National Institute)

Gujarat, India

Aug 2022 – Jan 2023
  • Developed scalable, low-latency microservices using Python and FastAPI, handling 10,000+ transaction-style API requests daily with 99.5% uptime.
  • Built secure RESTful APIs with authentication, authorization, rate limiting, and caching, reducing response latency by 60%.
  • Applied Test-Driven Development (TDD) and containerized deployments with Docker and Kubernetes to ensure high availability and fault tolerance.
Python FastAPI Docker Kubernetes REST APIs TDD

Data Scientist

IBM

India

Jan 2022 – Jul 2022
  • Designed and implemented enterprise-scale ETL pipelines processing 10M+ records, enabling data-driven financial and operational insights.
  • Developed internal analytics platforms using React and Node.js, supporting risk analysis and reporting for 50+ stakeholders.
  • Implemented CI/CD pipelines with automated testing (85% coverage) and worked in Agile/Scrum environments with global teams.
React Node.js ETL Pipelines CI/CD Agile/Scrum

$ ls -la ./projects

Real-Time Financial Transaction Monitoring

Banking-grade payment processing system with event-driven microservices, real-time risk checks, anomaly detection, and sub-200ms transaction latency.

10K TPS 99.9% uptime <200ms P99
JavaSpring BootKafka PostgreSQLRedisAWSDocker

Microservices E-Commerce Platform

SOA architecture with event-driven communication via Kafka. Transaction-oriented services for orders, payments, and inventory with banking-level reliability.

99.99% reliability P99 <200ms
Node.jsReactPostgreSQL RedisKafkaKubernetesStripe

DevOps Automation CLI Tool

Go-based CLI enabling automated provisioning of secure, cloud-native infrastructure. One-command deployment with Terraform IaC and CI/CD integration for enterprise workloads.

Multi-cloud IaC automation
GoTerraformAWS SDK DockerGitHub Actions

Real-Time Video Streaming Platform

High-throughput streaming platform supporting 50K+ concurrent events with low-latency live broadcasts, real-time chat via Redis Pub/Sub, and CDN-backed delivery.

50K+ concurrent 99.9% availability
Next.jsWebRTCNode.js RedisFFmpegAWS S3CloudFront

$ cat credentials.txt

AWS Academy Cloud Foundations

Amazon Web Services

Verified

Introduction to Networks

Cisco Networking Academy

Verified

Algorithmic Toolbox

UC San Diego via Coursera

Verified

MongoDB in Python

DataCamp

Verified

$ ./send_message.sh

Let's Build Something Great

I'm actively looking for Software Engineering, Machine Learning Engineering, and Data Engineering roles. Whether you have a question, opportunity, or just want to connect — my inbox is always open.

yashpatel4021@gmail.com
linkedin.com/in/yashpatel2104
github.com/yashpatel-py
Available for Opportunities