5+
Years Exp.
3
Certifications
2
Domains
Available for Opportunities
Software Engineer  ·  Fintech & Healthcare  ·  USA

Akshay
Potta

Building scalable distributed systems and AI-driven platforms. Specialized in Java, Spring Boot microservices, and cloud-native architectures on AWS.

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Java Spring Boot AWS Bedrock Microservices React & TypeScript Python & FastAPI PostgreSQL & Redis Docker & Kubernetes OpenTelemetry Event-Driven Architecture Java Spring Boot AWS Bedrock Microservices React & TypeScript Python & FastAPI PostgreSQL & Redis Docker & Kubernetes OpenTelemetry Event-Driven Architecture
01 / About

The Engineer

A Software Engineer with 5+ years of experience building the infrastructure that powers modern financial and healthcare applications. From real-time underwriting systems to enterprise claims processing — I turn complex requirements into elegant, scalable solutions.

"I architect systems that handle millions of transactions with the precision and reliability that regulated industries demand."

Currently at Affirm, I lead the development of AI-driven credit risk intelligence platforms, integrating AWS Bedrock models with event-driven microservice architectures to deliver real-time fraud detection at scale.

I hold an M.S. in Computer Science from Auburn University at Montgomery and am AWS and Azure certified, with deep expertise across the full engineering stack — from database schema design to CI/CD pipelines and distributed systems observability.

02 / Experience

My Journey

Jun 2024 — Present
Software Engineer
Affirm  ·  Remote, USA
  • Architected an AI-driven credit risk intelligence platform using Spring Boot microservices and event-driven architecture, enabling real-time underwriting, fraud detection, and transaction risk scoring — improving detection efficiency by 13%.
  • Engineered secure REST APIs for consumer credit decisioning and merchant onboarding using Spring Boot, PostgreSQL, and Redis with caching, pagination, and optimized authentication layers, improving response accuracy by 9%.
  • Built scalable fraud detection pipelines integrating AWS Bedrock models and agentic AI workflows for automated investigation and decisioning, improving anomaly detection precision and predictive accuracy by 18%.
  • Developed responsive financial analytics dashboards with React, TypeScript, and Redux Toolkit delivering real-time visualization of repayment behavior, credit utilization, delinquency trends, and merchant performance.
  • Implemented CI/CD pipelines using JUnit, Mockito, and GitHub Actions to automate containerized deployments on AWS EKS, improving release stability by 22%.
  • Enhanced system observability with ELK stack logging and distributed tracing via OpenTelemetry across distributed microservices ensuring high availability for financial transactions at scale.
JavaSpring BootAWS BedrockReactTypeScriptPostgreSQLRedisAWS EKSOpenTelemetry
Mar 2021 — Apr 2023
Software Engineer
Cognizant (Client: Cigna Healthcare)  ·  Hyderabad, India
  • Engineered and maintained enterprise healthcare applications for claims processing, supporting 500K+ monthly transactions — enhancing processing efficiency by 30% via optimized service workflows and backend performance tuning.
  • Architected RESTful APIs enabling secure data exchange between internal healthcare systems and external provider platforms, reducing manual processing effort by 35% and improving interoperability.
  • Orchestrated event-driven processing using RabbitMQ and automated CI/CD pipelines with Jenkins and GitLab, reducing deployment cycles by 40% and improving system reliability for production releases.
  • Established application monitoring and logging using ELK stack dashboards, enabling proactive issue detection and reducing production incidents by 20%.
JavaSpring BootRabbitMQJenkinsGitLab CIELK StackREST APIs
Feb 2020 — Mar 2021
Programmer Analyst
Cognizant (Client: Royal & Sun Alliance Insurance)  ·  Hyderabad, India
  • Developed a credit risk and market intelligence platform using Python microservices and domain-driven architecture, improving data processing efficiency by 13% and enabling faster issuer performance evaluation.
  • Built backend services using Python, FastAPI, and Django REST Framework for financial data processing and risk scoring logic, reducing API latency by 22% through asynchronous execution.
  • Developed React.js analytical dashboards with reusable components and role-based access control, improving analyst productivity by 18% through real-time visualization of credit risk metrics.
PythonFastAPIDjango RESTReact.jsMicroservicesDDD
03 / Skills

Technical Arsenal

01
Backend & APIs
JavaPythonSpring BootSpring CloudHibernateFastAPIDjango RESTRESTful APIsAsync Processing
02
Frontend
ReactTypeScriptRedux ToolkitReact.jsJavaScript
03
AI & Data Systems
AWS BedrockAgentic AIFraud DetectionRisk ScoringPredictive AnalyticsML IntegrationNLP
04
Databases & Caching
PostgreSQLMySQLRedisMongoDBQuery OptimizationSchema Design
05
Cloud & DevOps
AWS EKSAWS RDSDockerKubernetesGitHub ActionsJenkinsGitLab CI
06
Observability & Security
ELK StackOpenTelemetryOAuth 2.0JWTSpring SecurityRabbitMQ
04 / Impact

By the Numbers

18%
Improved Anomaly
Detection Precision
30%
Healthcare Claims
Processing Efficiency
40%
Faster Deployment
Cycles
22%
Release Stability
Improvement
35%
Reduced Manual
Processing Effort
500K+
Monthly Healthcare
Transactions Supported
05 / Education

Academic Foundation

Graduate Degree
Master of Science in Computer Science
Auburn University at Montgomery, Alabama, USA
05/2023 — 12/2024
Undergraduate Degree
Bachelor of Technology in Information Technology
Sreenidhi Institute of Science and Technology, Hyderabad, India
08/2016 — 05/2020
Available for Opportunities

Let's Build
Something Great

Open to Software Engineer, Backend Engineer, and Senior Engineer roles in fintech, healthcare, or AI-driven systems. I'm especially interested in high-impact, distributed systems challenges.

Send Me a Message