Hi, I’m Srinivas Kadalal, a Java Full Stack Developer with 4+ years of experience delivering scalable enterprise applications in banking and fintech. I specialize in Spring Boot microservices, React, and distributed systems, with hands-on work in AWS, Docker, CI/CD, Redis, Azure, SQL Server, and WebSockets. I also contribute to AI-driven analytics platforms and have collaborated on Claude AI integrations and agentic AI systems to enhance predictive analytics and automation. I’m passionate about secure APIs, performance optimization, and real-time data processing in high-volume environments. I enjoy collaborating with cross-functional teams—including analytics, operations, and client stakeholders—to translate complex needs into reliable technical solutions that drive business outcomes.

Srinivas Kadalal

Hi, I’m Srinivas Kadalal, a Java Full Stack Developer with 4+ years of experience delivering scalable enterprise applications in banking and fintech. I specialize in Spring Boot microservices, React, and distributed systems, with hands-on work in AWS, Docker, CI/CD, Redis, Azure, SQL Server, and WebSockets. I also contribute to AI-driven analytics platforms and have collaborated on Claude AI integrations and agentic AI systems to enhance predictive analytics and automation. I’m passionate about secure APIs, performance optimization, and real-time data processing in high-volume environments. I enjoy collaborating with cross-functional teams—including analytics, operations, and client stakeholders—to translate complex needs into reliable technical solutions that drive business outcomes.

Available to hire

Hi, I’m Srinivas Kadalal, a Java Full Stack Developer with 4+ years of experience delivering scalable enterprise applications in banking and fintech. I specialize in Spring Boot microservices, React, and distributed systems, with hands-on work in AWS, Docker, CI/CD, Redis, Azure, SQL Server, and WebSockets. I also contribute to AI-driven analytics platforms and have collaborated on Claude AI integrations and agentic AI systems to enhance predictive analytics and automation.

I’m passionate about secure APIs, performance optimization, and real-time data processing in high-volume environments. I enjoy collaborating with cross-functional teams—including analytics, operations, and client stakeholders—to translate complex needs into reliable technical solutions that drive business outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Java Full Stack Developer at Fiserv
June 1, 2025 - Present
Engineered an AI-driven Client Risk Insights platform by integrating transactional, account, and CRM data; coordinated stakeholders and authored specifications to improve workflow efficiency across enterprise systems globally. Architected scalable backend APIs for risk summary, transaction alerts, and client profiles using Java Spring Boot, enabling real-time risk data access and reducing retrieval latency by 5%. Collaborated with Data Science to implement Claude AI models and agentic AI agents for autonomous risk scoring and transaction alerts automation, improving prediction accuracy by 18%. Built React dashboards for risk visualization with real-time backend integration, speeding decision-making by 20%. Orchestrated microservices for risk scoring, notifications, and ETL pipelines using Spring Batch, PL/SQL, and OAuth 2.0/JWT security; managed CI/CD pipelines on AWS and Docker. Enhanced observability with distributed logging and monitoring, achieving 99.9% uptime and faster incident
System Engineer (Backend Engineer) at TCS – Bank of America
August 1, 2021 - December 1, 2024
Developed and maintained large-scale web applications using React and Java Spring Boot services, improving user experience, responsiveness, and platform performance. Engineered Java Spring Boot microservices for real-time investment analytics, handling high-volume market and trade data with low latency, reliable processing, and fault tolerance, supporting thousands of concurrent users. Optimized asynchronous services using Redis and Azure Cache for Redis, improving microservice communication, reducing API latency by 15%, and enabling high-throughput, event-driven processing for thousands of real-time trade events. Designed fault-tolerant backend systems with service discovery, circuit breakers, load balancing, and WebSocket support, handling 50K+ concurrent events. Implemented secure database solutions using SQL Server, optimizing schemas, indexing, and queries, enforcing encryption-at-rest and in-transit, leveraging dynamic RBAC and JWT for authentication. Developed interactive React

Education

Master of Science in Computer Science at Kent State University
January 1, 2024 - December 1, 2025
Bachelor of Technology in Electronics and Communication at MLR Institute of Technology
August 1, 2017 - May 1, 2021

Qualifications

Automation Specialist Level 2 – (Tricentis Tosca)
January 11, 2030 - June 11, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services