Krunal Bhavsar

About Krunal Bhavsar

I am a Software Developer with 3+ years of experience designing, building, and scaling distributed systems and full-stack applications. My expertise spans Java, Python, and JavaScript, with hands-on proficiency in Spring Boot, Node.js, React.js, and AWS. I specialize in developing low-latency, high-availability, and cost-optimized solutions, with a strong background in API development, microservices architecture, and CI/CD pipelines.At MTA New York City Transit, I engineered Node.js microservices on AWS Lambda handling 1M+ daily requests under 100ms latency, built a React-based outage dashboard supporting 786+ escalators and elevators, and led the architecture of a scalable maintenance & safety audit platform adopted by multiple teams. I also scaled GTFS-Realtime APIs powering outage updates for 1M+ riders, reduced database query latency by 75%, and mentored junior engineers to accelerate onboarding and improve team velocity.Previously at Crest Data (client: Splunk), I developed Python backend services with 25% lower latency and 99.9% uptime, automated infra provisioning with Terraform/CloudFormation cutting setup time in half, and eliminated 10–15 hrs/week of manual ops through automation. I strengthened release stability with robust test automation and implemented observability solutions using Prometheus and Grafana, reducing incident detection time by 30%.I’m passionate about solving complex engineering problems, optimizing performance at scale, and mentoring engineers to build reliable, maintainable, and impactful systems.Core Skills:Languages & Frameworks: Java, Python, JavaScript, Spring Boot, React.js, Node.jsCloud & DevOps: AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CDDatabases: MySQL, PostgreSQL, MongoDBObservability & Tools: Prometheus, Grafana, GitHub, JIRA, Power BIEmail : K••••••••@gmail.com

Experience

1. Software Developer 2

   Metropolitan Transportation Authority

   Jun 2024 — Present · Brooklyn, NY, US

   Developed Node.js microservices on AWS Lambda handling 1M+ daily requests with sub-100ms latency, ensuring scalability.• Built React outage dashboard for 786+ escalators/elevators, enabling supervisor efficiency through SNS outage notifications and improving incident response ~25%, resulting in 99.8% system availability.• Led design reviews and architecture for the escalator/elevator maintenance & safety audit platform, standardizing onNode.js microservices, React, and AWS, creating a scalable system adopted by 5+ teams and improving reliability.• Owned and scaled GTFS-Realtime compliant APIs (Spring Boot + AWS), powering real-time outage updates for 1M+ riders.• Defined database optimization strategy (schemas, indexing, cleanup), reducing query latency 75% and improving scalability.• Mentored 3 junior engineers through pair programming, design reviews, and Agile onboarding, enabling production contributions within 6 weeks and improving overall team velocity.

Education

• Pace University - Seidenberg School of Computer Science and Information Systems

  Master's degree, Computer Science

• CHARUSAT

  Bachelor of Technology - BTech, Information Technology

  2017 — 2020