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

Akshay
Potta

Building distributed, cloud-native systems and AI-powered features across fintech and healthcare. Specialized in Java/Spring Boot microservices, Python/FastAPI services, and event-driven architectures on AWS, with hands-on experience integrating LLMs for fraud detection and agentic workflows.

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

The Engineer

A Software Developer with 5+ years of experience building distributed, cloud-native systems and AI-powered features across fintech and healthcare. From real-time underwriting systems to enterprise claims processing — I turn complex requirements into elegant, scalable solutions.

"I own services end-to-end — from API design and CI/CD through production observability — with the precision and reliability that regulated industries demand."

Currently at Affirm, I build AI-assisted fraud detection and RAG pipelines using AWS Bedrock, OpenAI, and Anthropic Claude, alongside secure credit-decisioning APIs and real-time analytics dashboards, working within event-driven microservice architectures.

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 Developer
Affirm  ·  Remote, USA
  • Built a Spring Boot microservice for real-time transaction risk scoring, integrating AWS Bedrock and OpenAI-based LLM models into the underwriting pipeline, lifting fraud-detection precision by 18%.
  • Designed REST APIs for consumer credit decisioning and merchant onboarding, adding Redis caching and query tuning that cut p95 API latency from 240ms to 140ms.
  • Built a RAG pipeline over internal policy documents using Anthropic Claude and AWS Bedrock, cutting fraud-analyst case-review time by 20%.
  • Improved fraud-review workflows by introducing event-driven processing with RabbitMQ, reducing manual investigation effort by 30%.
  • Developed React/TypeScript dashboards adopted by 150+ risk-team users, giving real-time visibility into repayment behavior, delinquency trends, and merchant performance.
  • Set up GitHub Actions CI/CD pipelines deployed to AWS EKS, reducing deployment time from 40 minutes to 9 minutes and raising release stability by 22%.
  • Increased automated test coverage from 68% to 90% using JUnit and Mockito, reducing production defects by 25%.
  • Implemented OAuth 2.0 and JWT-based authentication across 12+ microservices, strengthening API security and ensuring compliance with fintech data-protection standards.
JavaSpring BootAWS BedrockOpenAI APIsAnthropic ClaudePostgreSQLRedisRabbitMQReactTypeScriptAWS EKSGitHub ActionsJUnitMockitoOAuth 2.0JWT
Mar 2021 — Apr 2023
Software Developer
Cognizant (Client: Cigna Healthcare)  ·  Hyderabad, India
  • Architected the Claims Processing Modernization project, developing Java Spring Boot microservices to handle 500K+ monthly claims transactions, collaborating with product and compliance teams to ensure accurate, low-latency claims adjudication.
  • Engineered asynchronous services for Claims Event Processing, integrating Redis caching and connection pooling, optimizing microservice communication and reducing API latency by 25% for high-throughput claims workflows.
  • Designed fault-tolerant microservices with circuit breakers, service discovery, and load balancing for the Provider Integration project, enabling reliable RESTful integrations with external provider platforms and cutting manual processing effort by 35%.
  • Implemented secure database solutions for claims and member data management, optimizing PostgreSQL/MySQL schemas, indexing, and query tuning, enforcing encryption-at-rest and in-transit with RBAC and JWT, ensuring HIPAA compliance.
  • Stood up ELK-based monitoring and system health dashboards for Claims Platform Services, tracking throughput and failures, enabling proactive issue detection and cutting production incidents by 20%.
  • Automated CI/CD pipelines in Jenkins/GitLab with Docker and Kubernetes deployments, shortening deployment cycles from 50 minutes to 12 minutes.
  • Collaborated with QA, DevOps, and business analysts on Claims Feature Deployments, containerizing legacy modules and orchestrating with Kubernetes, reducing infrastructure costs by 15%.
JavaSpring BootSpring CloudRabbitMQRedisPostgreSQLMySQLDockerKubernetesJenkinsGitLab CI/CDELK Stack
Feb 2020 — Mar 2021
Programmer Analyst
Cognizant (Client: Royal & Sun Alliance Insurance)  ·  Hyderabad, India
  • Built Python microservices for a credit-risk and market-intelligence platform, speeding up issuer performance evaluation and exposure-trend analysis.
  • Developed FastAPI and Django REST Framework backend services for risk-scoring logic, cutting API latency by 22% through asynchronous processing.
  • Built React.js dashboards with role-based access control, adopted by 100+ analysts for real-time credit risk visualization.
  • Wrote JUnit and Mockito test suites for risk-scoring services, raising code coverage from 60% to 85% and reducing production defects by 20%.
  • Containerized microservices with Docker and streamlined local development environments, cutting new-engineer onboarding time from 5 days to under 2 days.
PythonFastAPIDjango RESTReact.jsPostgreSQLDockerJUnitMockito
03 / Skills

Technical Arsenal

01
Languages & Frameworks
JavaSpring BootSpring CloudPythonFastAPIDjango REST FrameworkHibernateRESTful APIsEvent-Driven Architecture
02
Frontend
ReactTypeScriptRedux Toolkit
03
AI & Machine Learning
AWS BedrockOpenAI APIsAnthropic ClaudeLangChainRAGPrompt EngineeringAgentic AI WorkflowsPredictive AnalyticsGitHub Copilot
04
Data
PostgreSQLMySQLMongoDBRedis
05
Cloud & DevOps
AWS EKSAWS RDSAWS LambdaDockerKubernetesGitHub ActionsJenkinsGitLab CI/CD
06
Observability & Messaging
ELK StackOpenTelemetryRabbitMQ
07
Security & Testing
OAuth 2.0JWTSpring SecurityJUnitMockitoPostman
04 / Impact

By the Numbers

18%
Improved Fraud-Detection
Precision
90%
Automated Test Coverage
(Up from 68%)
22%
Release Stability
Improvement
500K+
Monthly Claims
Transactions Processed
35%
Reduced Manual
Processing Effort
150+
Risk-Team Dashboard
Users
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 Developer, Backend Engineer, and AI/ML Engineer roles in fintech, healthcare, or AI-driven systems. I'm especially interested in high-impact, distributed systems and LLM-integration challenges.

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