4+
Years Exp.
3
Certifications
3
Domains
Available for Opportunities
Software Engineer  ·  AI & Customer Support Platforms  ·  USA

Akshay
Potta

AWS and Azure Certified Software Engineer designing and building scalable backend systems, APIs, microservices, and cloud-native applications. Specialized in Python, distributed systems, and event-driven architectures, with hands-on experience integrating LLMs and Agentic AI for intelligent automation.

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Python FastAPI & Django Agentic AI & LangGraph Anthropic Claude RAG & MCP Microservices React & TypeScript AWS & Azure PostgreSQL & Redis Docker & Kubernetes Kafka & RabbitMQ Terraform & Helm Python FastAPI & Django Agentic AI & LangGraph Anthropic Claude RAG & MCP Microservices React & TypeScript AWS & Azure PostgreSQL & Redis Docker & Kubernetes Kafka & RabbitMQ Terraform & Helm
01 / About

The Engineer

An AWS and Azure Certified Software Engineer with 4+ years of experience designing and developing scalable backend systems, APIs, microservices, and cloud-native applications. From agentic AI customer-support platforms 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 enterprise environments demand."

Currently at Zendesk, I build Python backend services and event-driven microservices for an Agentic AI customer-support platform, collaborating with AI engineers on Claude-powered LLM workflows using LangGraph, RAG, and MCP to drive intelligent automation across global support operations.

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 distributed systems and data processing to security, CI/CD, containers, and observability.

02 / Experience

My Journey

Jan 2025 — Present
Software Engineer — Agentic AI Platform
Zendesk  ·  Hybrid, USA
  • Engineered Python backend services with FastAPI, Django, PostgreSQL, Redis, and AWS for Zendesk's AI customer support platform, delivering scalable APIs, asynchronous workflows, and reliable enterprise integrations across global support operations.
  • Architected event-driven Python microservices using Kafka, RabbitMQ, asyncio, Celery, Docker, and Kubernetes, enabling real-time ticket routing, SLA automation, agent handoffs, customer notifications, and distributed processing while increasing platform throughput by 14% globally.
  • Collaborated with AI engineers through Google Colab to build Agentic AI workflows using Claude, LLMs, LangGraph, RAG, MCP, and tool orchestration, reducing average ticket resolution time by 11% through intelligent automation and contextual response generation.
  • Implemented secure Python services with OAuth 2.0, JWT, mTLS, AWS IAM, and PostgreSQL row-level controls, while integrating lightweight C components for high-performance token validation and encryption, strengthening enterprise data protection across Zendesk.
  • Built responsive support operations dashboards using React, TypeScript, Redux, and Python APIs to visualize ticket queues, agent productivity, SLA risks, AI resolution rates, and customer sentiment, enabling real-time decisions for service teams.
  • Modernized Python delivery using GitHub Actions, Kubernetes, Terraform, Helm, Docker, AWS, and OpenTelemetry, implementing automated testing, canary releases, observability, tracing, and autoscaling while reducing deployment failures by 16% and improving release reliability across services.
PythonFastAPIDjangoKafkaRabbitMQCeleryClaudeLangGraphRAGMCPOAuth 2.0JWTmTLSAWS IAMReactTypeScriptReduxKubernetesTerraformHelmOpenTelemetry
Mar 2021 — Apr 2023
Software Engineer
Cognizant (Client: Cigna Healthcare)  ·  Hyderabad, India
  • Engineered Python-based claims-processing services using FastAPI, Pydantic, SQLAlchemy, and PostgreSQL, optimizing asynchronous execution and query plans to support 500K+ monthly transactions with 30% faster processing.
  • Architected Python microservices and secure REST APIs with FastAPI, OAuth2, JWT, Redis, and OpenAPI, integrating provider ecosystems while reducing manual processing by 35% through intelligent automation.
  • Implemented event-driven Python processing with RabbitMQ, Celery, Docker, Kubernetes, Jenkins, and GitLab CI/CD, accelerating deployment cycles by 40% while improving fault isolation, horizontal scalability, and release reliability.
  • Instrumented 18 production services using Python logging, OpenTelemetry, ELK, Prometheus, and Grafana, establishing distributed tracing, service-health metrics, and proactive alerting to strengthen observability and accelerate incident diagnosis.
  • Modernized backend engineering practices with Python 3.x, pytest, asyncio, Pandas, boto3, Redis, SQL optimization, Git, SonarQube, and secure API patterns, collaborating across QA, DevOps, and architecture teams.
PythonFastAPIPydanticSQLAlchemyPostgreSQLRedisRabbitMQCeleryDockerKubernetesJenkinsGitLab CI/CDOpenTelemetryELK StackPrometheusGrafanapytestSonarQube
Feb 2020 — Mar 2021
Programmer Analyst
Cognizant (Client: Royal & Sun Alliance Insurance Group)  ·  Hyderabad, India
  • Developed a credit risk and market intelligence platform using Python microservices and domain-driven architecture, improving data processing efficiency by 13%, enabling faster issuer performance evaluation and exposure trend analysis across financial datasets.
  • Built backend services using Python, FastAPI, and Django REST Framework for financial data processing and risk scoring, reducing API latency by 22% through asynchronous execution, optimized orchestration, and high-performance architecture patterns.
PythonFastAPIDjango REST FrameworkDomain-Driven DesignAsynchronous Programming
03 / Skills

Technical Arsenal

01
Programming & Backend Engineering
PythonCSQLFastAPIDjangoDjango REST FrameworkPydanticSQLAlchemyasyncioCeleryREST API DevelopmentOpenAPIMicroservices ArchitectureDomain-Driven DesignAsynchronous ProgrammingDistributed Systems
02
Frontend
ReactTypeScriptRedux
03
AI, Data & Intelligent Automation
LLMsClaudeAgentic AILangGraphRAGModel Context Protocol (MCP)Tool OrchestrationGoogle ColabPandasNumPyScikit-learnData PreprocessingFeature EngineeringAnomaly DetectionFraud DetectionModel Evaluation
04
Databases, Messaging & Performance
PostgreSQLRedisApache KafkaRabbitMQSQL OptimizationQuery OptimizationEvent-Driven ArchitectureHigh-Performance ComputingPerformance OptimizationFault IsolationDistributed Processing
05
Cloud, DevOps & Infrastructure
Amazon Web Services (AWS)Microsoft AzureAWS IAMboto3DockerKubernetesTerraformHelmGitHub ActionsJenkinsGitLab CI/CDCanary ReleasesContinuous IntegrationContinuous DeploymentAutoscalingHorizontal ScalingRelease Automation
06
Observability & Quality Engineering
OpenTelemetryELK StackPrometheusGrafanaDistributed TracingApplication LoggingService MonitoringAlertingPytestAutomated TestingDebuggingSonarQubeGit
07
Security
OAuth 2.0JWTMutual TLS (mTLS)EncryptionSecure API DesignToken ValidationPostgreSQL Row-Level Security
04 / Impact

By the Numbers

500K+
Monthly Transactions
Processed
40%
Faster Deployment
Cycles
35%
Reduced Manual
Processing Effort
16%
Reduction in
Deployment Failures
14%
Platform Throughput
Increase
11%
Faster AI Ticket
Resolution
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 AI/ML Engineer roles across AI-driven platforms, healthcare, and fintech. I'm especially interested in high-impact, distributed systems and agentic AI/LLM-integration challenges.

Send Me a Message