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Software Engineer

Software Engineer building scalable enterprise systems and intelligent workflows.

I design and build production-grade applications across FinTech, distributed systems, workflow automation, and AI-enabled platforms using Java, Spring Boot, React, PostgreSQL, and cloud-native technologies.

View selected workDownload résumé
JAVA · SPRING BOOT · REACT · POSTGRESQL · KAFKA · AWS · DOCKER
0M+
Financial records processed
0%
Throughput improvement
0%
Reduction in manual document processing
0+
Microservices coordinated

Selected Engineering

Systems I've built and shipped.

3 case studies
01

Payment Hub

Enterprise payment infrastructure designed for BFSI workloads, with high-throughput processing, distributed services, secure APIs, and optimized batch execution.

JavaSpring BootSpring BatchKafkaPostgreSQLDockerAWS
Outcome

Processed 400M+ financial records in under 5 hours while improving throughput by 70%.

02

Workflow Engine

AI-native workflow orchestration platform for configurable enterprise automation, combining workflow execution, document processing, AI services, and vector-based intelligence. Inspired by n8n.

JavaSpring BootSpring AIReactKafkaPostgreSQLDockerKubernetes
Outcome

Built configurable automation workflows that reduced manual document-processing effort by 80%.

03

Low-Code API Engine

Configurable API orchestration platform for secure data transformation and multi-endpoint workflows across enterprise systems.

JavaSpring BootSpring CloudDockerPostgreSQLJenkins
Outcome

Improved large-scale batch I/O efficiency by 75% and reduced manual deployment effort by 70%.

Experience

Where I've built.

4 roles · 2023 — present

Senior Software Engineer

Rhythmflows Solution Pvt. Ltd. · Pune, Maharashtra

Active

Sep 2024 — Present

  • Designed and delivered enterprise microservices for a Payment Hub and Workflow Engine used by 6+ BFSI clients, built with Java 17, Spring Boot, and React.
  • Engineered a high-throughput financial transaction system processing 400M+ records in under 5 hours, improving throughput by 70% through parallel processing and Spring Batch optimization.
  • Developed an AI-native workflow orchestration platform using Spring AI, vector stores, embeddings, and OCR pipelines, powering 10+ configurable automation workflows and reducing manual document processing by 80%.
  • Architected an API orchestration layer using Spring Cloud Gateway, Eureka, and Config Server, enabling communication across 9+ microservices with centralized configuration.
  • Implemented security enhancements using Spring Security, session validation, and RBAC, and coordinated VAPT remediation closing 22+ security findings.
Java 17Spring BootSpring SecuritySpring BatchSpring CloudSpring AIReactKafkaPostgreSQLDockerKubernetesNginxSonarQubeAWS

Software Engineer

Rhythmflows Solution Pvt. Ltd. · Pune, Maharashtra

Complete

Mar 2024 — Sep 2024

  • Architected a Low-Code API Engine using Java and Spring Boot to enable secure data transformation and multi-endpoint orchestration across BFSI workflows.
  • Improved large-scale batch I/O efficiency by 75% through parallelization and resource tuning.
  • Containerized services with Docker and standardized builds and deployments with Jenkins, reducing manual deployment effort by 70%.
JavaSpring BootDockerJenkins

Software Engineer

Arisan Global Enterprises Ltd. · Remote

Complete

Sep 2023 — Mar 2024

  • Built a cloud-native restaurant billing system using Node.js and Python, supporting real-time synchronization for 100+ users across multiple restaurant locations.
  • Optimized REST APIs and database interactions through SQL tuning, indexing strategies, and Redis caching, reducing response latency by 40%.
  • Contributed to an AI-powered workflow and case-management platform, building intelligent document automation pipelines and following clean architecture principles.
Node.jsPythonPostgreSQLRedisReact

Product Engineering Intern

Kylas · Pune, Maharashtra

Complete

Jan 2023 — Jun 2023

  • Built a real-time service monitoring and incident management tool with Java 8 and Spring Boot.
  • Developed 100+ unit and integration tests using JUnit and Mockito, improving release confidence.
  • Implemented event-driven integrations using AWS SNS and S3 for asynchronous processing and notifications.
JavaSpring BootAWSDocker

Engineering Stack

Tools I reach for.

Languages

JavaJavaScriptTypeScriptSQLPythonBash

Frontend

React.jsThymeleafCSS

Backend

Spring BootSpring SecuritySpring BatchSpring CloudSpring Data JPANode.jsSpring MVC

Architecture

MicroservicesREST APIsEvent-Driven ArchitectureAPI OrchestrationDistributed SystemsClean ArchitectureCQRS

Cloud & Infrastructure

AWSEC2S3LambdaLinuxDockerKubernetesNginxJenkinsGit

Data & Messaging

PostgreSQLOracleMySQLApache KafkaRedisSQL

AI & Intelligent Systems

Spring AIOCR PipelinesVector EmbeddingsVector StoresLLM IntegrationRAGAI Workflow Automation

Quality & Security

JUnitMockitoPostmanJMeterSonarQubeSecure CodingVAPT RemediationTDD

How I Engineer

Principles I build with.

01

Design for scale

Build systems that remain predictable as traffic, data, and complexity grow.

02

Measure before optimizing

Use actual bottlenecks and measurable outcomes to guide performance work.

03

Secure by default

Treat authentication, authorization, validation, and secure communication as architectural concerns.

04

Automate repetitive work

Use automation to reduce operational friction and manual processing.

Research, Education & Certifications

Background.

Research

Fake Review Detection using Support Vector Machine

Published research on machine-learning-based fake-review detection using supervised classification.

80% classification accuracyIJECS Journal, 2022

Education

B.Tech, Computer Engineering

MIT Academy of Engineering, Pune

Aug 2019 — Jun 2023CGPA 8.86 / 10

Certifications & Open Source

  • NPTEL — Cloud ComputingTop 1% nationally
  • Python for Everybody SpecializationCoursera
  • Open source contributor3 merged contributions on GitHub

About

Background.

I'm a software engineer focused on building reliable, scalable systems for enterprise and FinTech environments. My work spans backend engineering, distributed systems, workflow automation, cloud infrastructure, and AI integration.

I enjoy working on problems where performance, architecture, security, and operational reliability matter — from high-volume transaction processing to configurable workflow platforms and intelligent document automation.

Let's build something useful.

Interested in scalable systems, intelligent automation, or solving difficult engineering problems?

LinkedInamdhanwate07@gmail.com