Hemanth Koppaka — Senior Software Engineer

About

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, 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 B.Tech Computer Science — KL University

Specialization AI · Full Stack · Data · Cloud

Email hemanthdpk@gmail.com

Status Open to opportunities

Work Experience

Cigna

Senior Software Engineer — AI

LangGraph Azure OpenAI RAG FastAPI React.js Databricks AKS HIPAA

Developed LangGraph-based multi-agent systems on Azure OpenAI and AI Foundry, routing between tool calls, FastAPI microservices, RAG pipelines, and structured LLM reasoning for end-to-end HIPAA-compliant provider and member workflows
Designed RAG as a dedicated agent tool with hybrid retrieval across Azure Cognitive Search, FAISS, and Pinecone — dynamically querying clinical documents (EOB, FHIR/HL7, PDFs) vs. live APIs, reducing GPT-4 hallucinations by 29%
Built FastAPI async microservices as the tool layer beneath LangGraph agents for eligibility lookups, claim status, provider search, and RAG orchestration with Pydantic-based structured output validation
Automated clinical document summarization with Azure Form Recognizer and GPT-4, eliminating manual review and saving 1,200+ analyst hours annually
Integrated MCP servers and AI Foundry tool registries for secure, schema-validated agent tools with strict role-based access controls
Built Databricks ETL pipelines (Delta Lake, Spark, Unity Catalog) for HIPAA-grade data lineage, increasing ingestion throughput by 40%
Containerized all microservices with Docker/Helm on AKS with HPA autoscaling and blue-green rollouts; governed API layers through Azure API Management with JWT auth and rate limiting
Built React.js compliance console surfacing full agent traces — prompts, retrieved context, tool calls, token counts — for HIPAA and HITRUST-auditable decision trails

29% increase in RAG contextual accuracy · 45% reduction in manual chart-review time · 1,200+ analyst hours saved annually

Jul 2024 — Present

Hearst

Senior Software Engineer

Django REST FastAPI GraphQL React.js Vue.js Databricks Apache Spark EKS

Developed scalable Django REST Framework APIs exposing ratings, issuer data, outlook changes, and portfolio metrics with robust validation and efficient pagination for large datasets
Built Python FastAPI microservices for credit-risk model inference as low-latency REST APIs supporting real-time scoring, risk flagging, and model-driven decision workflows
Built ML inference services using FastAPI and GraphQL, integrating models into underwriting and claim management platforms for interactive analytics and automated decision pipelines
Developed responsive financial dashboards and healthcare data portals using React.js and Vue.js with real-time data visualization
Migrated legacy ML pipelines to Databricks, integrating Oracle Autonomous Data Warehouse and refactoring workflows using Databricks ML APIs
Built distributed data processing pipelines using Apache Spark (Scala/PySpark) and real-time streaming with Apache Kafka and Spark Streaming
Designed async FastAPI services for financial simulations (rate shocks, spread movements) using NumPy and Pandas for near real-time interactive dashboard results
Containerized microservices on Amazon EKS with GitHub Actions CI/CD, Terraform infrastructure, and OpenTelemetry observability

Oct 2023 — Jul 2024

TransUnion

Software Engineer

Django REST Angular NgRx Kafka RabbitMQ PySpark PyTorch SageMaker

Built Django REST Framework and Flask APIs powering borrower onboarding, eligibility checks, and KYC flows with multi-step progress saving and partner integrations under high transaction volumes
Developed Angular SPAs with NgRx/Redux state management and WebSockets for real-time onboarding status updates across financial dashboards
Implemented async background processing using Celery, RQ, and RabbitMQ (DLQ, retry, TTL) for document verification, bureau callbacks, and KYC event processing
Processed 100TB+ of structured and unstructured claims data using Apache Spark and Hadoop, improving fraud detection accuracy by 20% and reducing alert latency by 50%
Developed deep learning models in PyTorch and TensorFlow for customer churn prediction and underwriting score calibration, improving decision precision by 18%
Applied NLP with Hugging Face Transformers, spaCy, and RoBERTa to analyze service chats and customer feedback for claim resolution improvement
Provisioned cloud infrastructure with Terraform and scaled model inference on Kubernetes, reducing AWS compute costs by 25% during peak hours
Built real-time portfolio and risk dashboards in Power BI and Looker, accelerating financial reviews and risk reporting cycles by 30%

Sep 2019 — Jul 2023

Arete IT Services

Software Developer

Python Django REST Java Spring Boot AWS EKS PyTorch Jenkins

Designed and developed backend modules using Python (Django REST Framework) and Java (Spring Boot), deploying scalable microservices on AWS EC2, Elastic Beanstalk, and EKS
Built RESTful APIs with secure JWT/OAuth2 authentication, API versioning, and clean JSON structures for cloud-native access patterns
Engineered real-time features including order management, workflow execution, and streaming analytics using multithreading and event-driven Java modules
Developed predictive models with PyTorch and applied SciPy linear programming for logistics forecasting and cost minimization
Implemented CI/CD pipelines with Jenkins and AWS CodeDeploy, managing PyTest/UnitTest executions, Docker image builds, and zero-downtime deployments
Collaborated across finance, logistics, and retail domains conducting sprint demos and aligning with enterprise cloud standards

May 2018 — Jul 2019

HemanthKoppaka

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