5+ Years of Systems Engineering

Architecting High-Throughput Backend & Cloud Infrastructure

Specializing in fintech full-stack development, distributed systems execution, and automated cloud infrastructure. Ex-Clearwater Analytics, Ex-Apple. Led AWS migrations and Kafka streaming integrations.

Explore Architecture Work Experience

$17M Annual AWS Savings Led full cloud migrations & infrastructure optimizations

99.99% Platform Availability Designed Kafka clusters and auto-scaling Kubernetes nodes

50% API Latency Reduction Optimized complex Django-based financial caching layers

01 / EXPERTISE

Technical Competence

A balanced stack built around performance, reliability, and security.

I design enterprise-grade backend engines with Python, Django, and Java/Spring Boot, operating on low-latency streaming layers powered by Kafka and Redis. My work focuses on building robust billing and forecasting engines, handling high-volume transaction loads, and creating infrastructure automation scripts.

Education & Credentials

2019 – 2021

M.S. in Computer Science

California State University – San Marcos

GPA 3.70 • Graduate Non-Resident Scholar

2015 – 2019

B.Tech in Information Technology

CHARUSAT University, India

GPA 3.35 • MYSY Scholar

Core Systems & Devops

AWS (EC2, RDS, IAM)

Kubernetes & Docker

Terraform & CloudFormation

Apache Kafka & Redis

Backend & Architecture

Python (Django, FastAPI)

Java (Spring Boot, Hibernate)

SQL & NoSQL (MongoDB, Cassandra)

CI/CD & Splunk Monitoring

02 / HISTORY

Professional Milestones

Leading migrations and engineering core banking and systems automation platforms.

Software Engineer @ Clearwater Analytics

New York, NY

High-Throughput Pipelines: Engineered distributed backend architectures using Kafka, Redis, and hybrid MySQL/MongoDB, cutting API latencies by 50%.
Financial Algorithms: Productionized Django-based core algorithms powering LPx (Private Equity) and MLx (Mortgage Loan) products, dropping manual review rates by 65%.
Scale & Revenue: Developed an enterprise billing/forecasting module handling $60M+ quarterly flows, directly supporting an 18% revenue lift.
Cloud Architecture: Migrated legacy platforms to AWS using Terraform and CloudFormation, achieving 30% reduction in downtime and $17M annual cost savings.
Resiliency: Scaled applications using auto-scaling Kubernetes nodes and integrated health monitoring engines for proactive error mitigation.

03 / ARCHITECTURE

Production Repositories

Showcasing algorithmic depth and system design from public repositories.

dhruval@systems:~/career-ops

$ cat architecture_config.json

{
  "project": "career-ops",
  "engine": "Go Dashboard v1.4",
  "agent_framework": "Claude Code Integration",
  "capabilities": {
    "skill_modes": 14,
    "pdf_generator": "active",
    "batch_processing": true,
    "async_workers": 8
  },
  "hosting": "AWS Local / Containerized (Docker)"
}

$ _

#01

career-ops

AI-powered job searching engine featuring 14 custom automation modes, structured PDF compilation pipelines, and a real-time tracking interface written in Go.

Go Python LLM APIs PDF Rendering

#02

Alpha-Beta Pruning Animation

A graphical animation interface visualizing algorithmic game theory and branch state-reduction routines in JavaScript.

JavaScript HTML5/CSS3 Game Algorithms

#03

Camera Object Detection

A Python-based deep learning inference application capturing live camera feeds to detect, highlight, and segment object classes.

Python OpenCV Deep Learning TensorFlow

#04

Correlated Words Algorithm

A semantic data-mining parser computing document co-occurrences and proximity indexes to construct related term graphs.

Python NLP Graph Theory Parsing

04 / DISCUSS

Initiate Collaboration

Let's discuss distributed architecture, high-frequency transactions, or system leadership roles.

Contact Information

I operate on East Coast (NYC) and West Coast hours depending on project demands. Feel free to reach out via direct channels.

EMAIL shahdhruval10@gmail.com

PHONE +1 (760) 410-2676

NETWORKS