# Ashish k

> Backend / Full Stack Engineer | Java, Spring Boot, AWS, Kafka | Healthcare & Enterprise Systems | Scalable Cloud APIs | 6+ Years

Location: Jersey City, New Jersey, United States
Profile: https://flows.cv/ashishk

Senior Backend and Full Stack Engineer with 6+ years of experience building scalable, secure, cloud-native systems across healthcare and enterprise technology environments.

I specialize in designing Java & Spring Boot microservices, event-driven architectures (Kafka, RabbitMQ), and AWS-based data platforms that handle high-volume, regulated data with strong reliability and performance guarantees.

At Cardinal Health, I’ve contributed to platforms processing $80M+ in annual healthcare claim signals, improving API throughput, reducing processing latency, and deploying AI/ML inference services that increased anomaly detection accuracy while cutting manual review effort.

I bring strong experience across:

Backend systems (Java, Spring Boot, Python, REST APIs)

Cloud & DevOps (AWS, Docker, Kubernetes, CI/CD)

Data engineering & streaming (Kafka, ETL, PostgreSQL)

Full-stack development (React, TypeScript, Next.js)

Compliance-driven systems (HIPAA, secure data workflows)

I thrive in fast-paced US product teams, working closely with engineering, data, and business stakeholders to deliver production-ready, high-impact solutions.

📌 Currently open to: Backend Engineer / Software Engineer / Full Stack Engineer roles in the US market (On-site / Hybrid / Remote).

## Work Experience
### Back End Engineer @ Cardinal Health
Jan 2024 – Present | New Jersey, United States
Architected Java & Spring Boot microservices supporting healthcare supply chain and payer analytics platforms, processing $80M+ annualized claim data.

Improved API throughput by 17% through performance tuning, concurrency optimization, and efficient service design.

Built event-driven data pipelines using Apache Kafka, increasing near-real-time data availability by 22%.

Deployed AI/ML inference services on AWS SageMaker, improving anomaly detection accuracy by 15% and reducing manual claims review.

Designed secure PostgreSQL persistence layers, optimizing schemas and queries to cut processing latency by 20%.

Developed cloud-native ETL pipelines using AWS Glue, Lambda, and S3, enabling $150M+ medical spend reporting.

Implemented HIPAA-compliant security controls (encryption, RBAC) and maintained 99.9% production uptime.

### Java Full Stack Developer @ Infinite Infolab
Jan 2019 – Jan 2022
Built backend modules using Java, Spring MVC, and MySQL, supporting 120,000+ monthly transactions under concurrent load.

Developed React.js & Next.js frontend interfaces, improving user task efficiency by 18%.

Implemented asynchronous messaging with RabbitMQ, reducing synchronous processing load by 30%.

Integrated Python-based ML models (scikit-learn) via REST APIs, improving classification accuracy by 15%.

Containerized services with Docker & Kubernetes and automated CI/CD with Jenkins, reducing deployment issues by 25%.

### Software Engineer @ Vivma Software Inc
Jan 2018 – Jan 2019
Developed backend services using Python & Flask, supporting 15,000+ monthly records.

Built Angular & TypeScript UI components, improving reporting accuracy and turnaround time.

Collaborated in Agile teams using Git, SQL, and sprint-based delivery, increasing release consistency by 15%.


## Education
### Master's degree in Computer Science
New Jersey Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/ashishk99

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Source: https://flows.cv/ashishk
JSON Resume: https://flows.cv/ashishk/resume.json
Last updated: 2026-04-16