springcommerce
7
Production-grade microservices e-commerce platform built with Spring Boot, secured with Keycloak, orchestrated on Kubernetes, and monitored via Grafana + Prometheus.
Spring BootKubernetesGrafanaKeycloak+1
View on GitHub
0%Triage
automated
$0.00MCost
avoidance
0%Debug time
reduced
Rahul Reddy Talatala
Iautomatethe complex.ImakeAIwork at scale.
GenAI Engineer building production-grade LLM systems, multi-agent pipelines, and AI infrastructure that ships with real, measurable impact.
About
Building AI that ships,
not just demos.
I'm a GenAI Engineer who turns cutting-edge AI research into systems that actually ship. I've automated millions of dollars in operational waste, fine-tuned LLMs for production inference, and built agentic pipelines that work at enterprise scale, not just in notebooks. I care about real impact over cool demos.
Whether it's orchestrating multi-agent pipelines, fine-tuning LLMs for inference efficiency, or building telecom-scale RAG systems, I live at the intersection of research and production. Currently at Verizon, previously at Apple.
🧠
Agentic Systems
LangGraph, MCP, multi-agent orchestration at enterprise scale
📊
RAG & Knowledge Graphs
Hybrid Graph RAG with Neo4j, Elastic, and pgvector
⚡
MLOps & LLMOps
NVIDIA Triton, LoRA fine-tuning, LangFuse observability
☁️
Cloud Infrastructure
AWS, GCP, Azure: Kubernetes, Terraform, CI/CD at scale
Experience
Where I've shipped.
GenAI Engineer
CurrentInfinite Computer Solutions·Client: Verizon
Aug 2025 – PresentTampa, FL
LangGraphNeo4jLlamaIndex
- Designed a LangGraph multi-agent system with LlamaIndex and hybrid RAG to automate 60% of network triage, reclaiming 47,068 hours annually and creating $2.46M in cost avoidance.
- Built a Neo4j knowledge graph with hybrid Graph RAG (Cypher + vector embeddings) for telecom root cause analysis, reducing first-pass investigation time by 40%.
- Deployed a gradient-boosted outage prediction model on 5,000+ daily alarms, cutting Mean Time To Detect by 40%.
- Engineered a multimodal audit pipeline with Gemini extraction and 70+ automated guardrails to address $114M+ in financial exposure.
- Established end-to-end agent observability with LangFuse tracing and confidence scoring, reducing debugging cycles by 30%.
Software Engineer – GenAI Infra
Apple Inc.·Data Platform Efficiency
Apr 2025 – Aug 2025Dallas, TX
LangGraphNVIDIA TritonApache Spark
Software Engineer
Eminent Services Corporation
May 2024 – Apr 2025Frederick, MD
ReactNode.jsAzure DevOps
ML Research Assistant
University at Buffalo
Jan 2024 – May 2024Buffalo, NY
PyTorchPythonTransformers
Solutions Engineer
Swym Corporation
Sept 2022 – July 2023Bangalore, India
REST APIsJavaScriptE-commerce
Projects
Things I've built.
secure-stack
End-to-end DevSecOps pipeline implementing a three-tier architecture on AWS EKS with ArgoCD, GitOps workflows, and automated security scanning.
AWS EKSArgoCDGitOpsDevSecOps+1
View on GitHubatmo-flow
Real-time weather and air quality data pipeline on GCP using Cloud Composer (Airflow), PySpark transformations, and interactive visualizations.
GCPAirflowPySparkData Pipeline
View on GitHubWriting
Things I've written.
Mar 6, 2025
I Got Tired of Filling Out the Same Form 50 Times, So I Built an AI to Do It
Built ApplyAI, a Chrome extension that automates job application form filling using a LangGraph agent and Gemini AI, cutting the process from 10 minutes to under 10 seconds.
AI AgentsAutomationPython
Read on dev.to
Jan 20, 2025
AtmoFlow: Real-Time Weather and Air Quality Insights
End-to-end data pipeline on GCP using Cloud Functions, Pub/Sub, Dataproc, and BigQuery to ingest, process, and visualize environmental data with Looker dashboards.
Data EngineeringGoogle CloudPySpark
Read on dev.to
Mar 12, 2025
Spring Commerce: Building a Resilient E-commerce System with Spring Boot Microservices
A complete microservices e-commerce system with four core services communicating via REST and Kafka, secured with Keycloak, and monitored through the Grafana observability stack.
Spring BootMicroservicesKubernetes
Read on dev.to
Mar 12, 2025
Spring Core Fundamentals: A Beginner Guide
A practical guide to Spring's core concepts: dependency injection, inversion of control, bean management, and aspect-oriented programming for building maintainable Java apps.
JavaSpring BootBackend
Read on dev.to
Skills
The toolkit.
Years of building at the frontier, from LLM fine-tuning to distributed data pipelines to cloud-native deployments.
Agentic & ML
LangGraphLangChainCrewAIAutogenPyTorchTensorFlowGoogle ADKMCPA2A
RAG & Knowledge
Hybrid RAGLlamaIndexNeo4jElastic Vector DBpgvectorCohere RerankSemantic Search
MLOps & LLMOps
RayONNXMLflowNVIDIA TritonLangSmithLangFuseKubeflowW&BAxolotl
Data Engineering
SparkAirflowKafkadbtSnowflakeTimescaleDBETL/ELT
Cloud & DevOps
AWSGCPAzureKubernetesTerraformDockerArgoCDCI/CD
Programming
PythonTypeScriptJavaSQLFastAPISpring BootNode.jsReactNext.js
Education
Where it started.
MS, Computer Science
University at Buffalo
Buffalo, NY2023 – 2025
GPA 3.8 / 4.0
BTech, Computer Science
Vellore Institute of Technology
Vellore, India2019 – 2023
GPA 3.9 / 4.0
Contact
Let's work
together.
I'm open to full-time roles and interesting collaborations. If you're building something ambitious in the AI space, I want to hear about it.
Or just chat with my AI. It knows everything about me.
© 2026 Rahul Reddy Talatala.
Tampa, FL · Open to relocation