# Sushant Ganesh Bhat

> Full Stack Developer (5+ Years) | React, TypeScript, Node.js | Scalable APIs & High-Performance UIs | AWS, PostgreSQL | Healthcare & Enterprise Systems

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

Full Stack Developer with 5+ years of experience building fast, reliable, and scalable web applications across healthcare, retail, and enterprise platforms. I specialize in React, TypeScript, Node.js, and modern cloud-driven architectures that streamline workflows and improve performance end-to-end.

I’ve developed modular and high-performing UIs, virtualized large datasets, improved load times from seconds to milliseconds, and engineered stable API layers using Express.js, PostgreSQL, MongoDB, and Redis. My work consistently reduces processing steps, accelerates user tasks, and strengthens system reliability.

On the backend, I’ve built decision engines, async workers, optimized data pipelines, and event-driven integrations using AWS (Lambda, S3, SQS). On the frontend, I focus on responsive UI/UX, state optimization, and schema-driven forms using React, TypeScript, Tailwind, and Next.js.

I’m passionate about transforming messy, slow, or manual workflows into clean, fast, and user-friendly digital experiences. Whether improving load times by 80%, cutting rework cycles by 30%, or enhancing dashboard performance, I bring a product mindset and strong attention to detail.

## Work Experience
### Full Stack Developer @ Humana
Jan 2024 – Present | United States
Developed distributed member workflow platform consolidating eligibility and claims data across 5+ systems usingNode.js, TypeScript, AWS ECS, improving support resolution speed by 30%.

Implemented multi-state eligibility rules engine processing 2M+ monthly requests using Redis caching and rules abstraction, reducing incorrect determinations by 35%.

Migrated legacy monolith into containerized microservices using AWS ECS, API Gateway, and Auto Scaling,
enabling 3x peak Medicare enrollment traffic handling.

Engineered React dashboards used by 300+ coordinators, reducing cross-system navigation time by 25% through API aggregation and client-side caching.

### Frontend Developer @ Cardinal Health
Jan 2023 – Jan 2024 | United States
Built real-time supply chain visibility APIs integrating warehouse and shipment systems using event-driven Node.js and AWS SQS, improving inventory accuracy by 30%.

Implemented async order lifecycle services handling 100K+ daily transactions, reducing order delays by 28% using Lambda + SQS decoupled processing.

Optimized time-series order analytics queries in PostgreSQL, improving response latency by 45% through indexing and partitioning redesign.

Delivered logistics dashboards used by 200+ operations users, cutting manual reconciliation effort by 35% via streaming update architecture.

### Full Stack Engineer @ Sage Softtech
Jan 2020 – Jan 2021 | India
Led development of a digital loan origination and customer risk decision platform supporting 500K+ monthly loan applications, improving approval processing time by 32% using Node.js & React customer workflow interfaces.

Built React customer onboarding and loan tracking interfaces used across multiple retail banking products, improving customer application completion rate by 22% through guided workflow UX improvements.

Implemented loan eligibility decision services processing real-time credit bureau and internal risk signals, reducing manual underwriting dependency by 28% using Node.js rule evaluation engines.

Improved transaction and loan history retrieval performance by 38% by optimizing SQL query design and indexing strategy across high-volume financial transaction tables.

### Software Engineer @ Crisil Limited
Jan 2017 – Jan 2019 | India
Constructed an enterprise credit risk analytics platform generating rating insights across 10K+ financial entities, improving model evaluation turnaround time by 40% using Java Spring Boot microservices & Angular dashboards.

Built Angular risk visualization interfaces used by 150+ financial analysts, reducing manual risk report preparation effort by 30% through dynamic portfolio and rating model dashboards.

Developed credit risk computation services processing 1M+ financial data records per batch cycle, improving model scoring consistency by 25% using Java multithreaded processing and batch optimization.

Established financial data ingestion pipelines integrating 8+ external market and financial data providers, reducing data latency by 35% using Java ETL services + message queue processing.


## Education
### Master's degree in Computer Science
Stevens Institute of Technology
Jan 2021 – Jan 2023

### Master of Computer Applications - MCA in Computer Science
SIES College of Management Studies - India
Jan 2014 – Jan 2017

### Bachelor's degree in Information Technology
University of Mumbai
Jan 2011 – Jan 2014


## Contact & Social
- LinkedIn: https://linkedin.com/in/sushantbhat22
- Website: https://sushantbhat.dev/

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Source: https://flows.cv/sushantganeshbhat
JSON Resume: https://flows.cv/sushantganeshbhat/resume.json
Last updated: 2026-03-23