Hemanth Koppaka Portfolio — 2025
0
Senior Software Engineer · AI · Data · Cloud
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Houston, TX  ·  Open to opportunities

Hemanth
Koppaka

Senior Software Engineer with 7+ years building enterprise AI systems, full-stack applications, data pipelines, and cloud-native architectures across healthcare and finance.

7+
Years exp.
3
Cloud platforms
8
Certifications
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Python· LangGraph· LangChain· Azure OpenAI· RAG Pipelines· FastAPI· React.js· Angular· PySpark· Databricks· Kafka· Kubernetes· Terraform· AWS· Azure· GCP· Delta Lake· PostgreSQL· Docker· Python· LangGraph· LangChain· Azure OpenAI· RAG Pipelines· FastAPI· React.js· Angular· PySpark· Databricks· Kafka· Kubernetes· Terraform· AWS· Azure· GCP· Delta Lake· PostgreSQL· Docker·

Building AI systems that work in production, not just demos.

I'm a Senior Software Engineer specializing in AI engineering, full-stack development, data infrastructure, and cloud-native systems. Over 7 years I've delivered enterprise solutions across healthcare, finance, and credit risk — driving real operational impact.

Currently at Cigna – Evernorth, I architect HIPAA-compliant GenAI workflows using LangGraph, GPT-4, and Azure OpenAI — while also building full-stack applications with React.js and FastAPI that give clinicians transparent, auditable AI-driven insights.

From backend APIs and responsive frontends to distributed data pipelines and multi-agent AI systems — I work across the full stack, most energized at the intersection of AI engineering and modern web development.

Location Houston, TX, USA
Education MS Computer Science — UMass
Specialization AI · Full Stack · Data · Cloud
Email hemanthdpk@gmail.com
Status Open to opportunities
01
Cigna — Evernorth
Senior Software Engineer — AI
LangGraph Azure OpenAI RAG FastAPI React.js Databricks AKS HIPAA
  • Built LangGraph multi-agent workflows on Azure OpenAI & AI Foundry to automate eligibility, claims validation, and clinical insight generation
  • Developed React.js dashboards giving clinicians transparent, auditable views of AI responses and retrieved context
  • Designed hybrid RAG pipelines (LangChain + FAISS + Pinecone) unifying retrieval across FHIR/HL7, EOBs, PDFs, and SQL — improving contextual accuracy by 29%
  • Automated document summarization with Azure Form Recognizer + GPT-4, saving 1,200+ analyst hours annually
  • Implemented MCP servers and AI Foundry tool registries for secure, schema-validated agent tools
  • Containerized microservices on AKS with Helm, HPA, and blue-green rollouts for zero-downtime updates
  • Built Databricks ETL pipelines with Delta Lake and Unity Catalog for HIPAA-grade lineage and governance

41% improvement in eligibility throughput  ·  33% reduction in claim backlog  ·  45% less manual chart-review time

Jul 2024 — Present
02
Hearst
Senior Software Engineer
FastAPI React.js Vue.js Databricks Kinesis EKS OpenTelemetry
  • Built FastAPI microservices exposing credit-risk model inference as low-latency REST endpoints for real-time scoring
  • Developed responsive financial dashboards and healthcare data portals using React.js and Vue.js with real-time interactivity
  • Migrated legacy ML pipelines into Databricks, integrating Oracle ADW as a core source with measurable runtime improvements
  • Implemented Kinesis Data Streams + Analytics for near real-time rating updates to PostgreSQL dashboards
  • Deployed on Amazon EKS via GitHub Actions with OpenTelemetry traces, metrics, and SLO alerting
  • Introduced Redis caching for lookup-heavy datasets, stabilizing API latency under bursty traffic
Oct 2023 — Jul 2024
03
TransUnion
Software Engineer
Django REST Angular NgRx Kafka RabbitMQ ECS Fargate PySpark
  • Built Python backend APIs (Django REST / Flask) for borrower onboarding, KYC, eligibility, and partner integrations
  • Developed Angular SPAs with NgRx state management and WebSocket real-time data updates across financial dashboards
  • Designed responsive HTML5/CSS3/Bootstrap interfaces with cross-browser compatibility and mobile-first approach
  • Processed KYC and credit events through Kafka and RabbitMQ with DLQ, retry, and TTL configurations
  • Created PySpark pipelines aggregating onboarding events and bureau responses for compliance reporting
  • Containerized services with Docker, deployed on ECS Fargate with GitHub Actions CI/CD
Sep 2019 — Jul 2023
04
Arete IT Services
Software Developer
Python Django Java Spring Boot AWS EC2 PyTorch
  • Designed and built backend modules in Python/Django and Java/Spring Boot, deployed on AWS EC2 and EKS
  • Developed predictive models with PyTorch for logistics forecasting and cost minimization via SciPy
  • Implemented CI/CD with Jenkins and AWS CodeDeploy following TDD practices
  • Collaborated across finance, logistics, and retail domains on enterprise cloud solutions
May 2018 — Jul 2019
AI & ML
LangChain LangGraph GPT-4 Azure OpenAI Bedrock RAG FAISS Pinecone CrewAI HuggingFace SageMaker TensorFlow PyTorch
Backend
Python 3.11 FastAPI Django REST Flask GraphQL Node.js Java Spring Boot Celery Pydantic
Full Stack & Frontend
React.js Angular Next.js Vue.js Redux NgRx Tailwind CSS TypeScript HTML5 CSS3 WebSockets
Data Engineering
PySpark Databricks Delta Lake Kafka AWS Glue Azure ADF Kinesis Event Hubs Apache NiFi Snowflake
Cloud & Infra
AWS Azure GCP Kubernetes Docker Terraform Helm AKS EKS GKE CloudFormation
Databases & Streaming
PostgreSQL MongoDB DynamoDB Redis Oracle Redshift BigQuery Elasticsearch RabbitMQ
Microsoft
Azure AI Fundamentals
AI-900
Microsoft
Azure Fundamentals
AZ-900
Databricks
Generative AI Fundamentals
Verified credential
AWS
Solutions Architect — Associate
SAA-C03
Network
Multicloud Network Associate
Verified credential
University of Minnesota
Software Development Lifecycle Specialization
Coursera specialization
UC Davis
Search Engine Optimization (SEO) Specialization
Coursera specialization
ISC2
Cryptography
Verified credential

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7+ years of experience · AI Engineering · Full Stack Development
Data Engineering · Cloud Architecture · Healthcare & Finance

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