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Available for Q4 2026
Principal AI Engineer

Architecting Intelligence
at Enterprise Scale.

I design and build highly concurrent, fault-tolerant backend systems and production-grade RAG pipelines. Stop building wrappers—start building resilient AI infrastructure.

system_health.log
> [SYSTEM] Initializing LLM Orchestrator...OK
> [RAG] Connecting Vector DB (Pinecone)...24ms
> [API] WebSocket Gateway...10k C/s
SYSTEM STATUSONLINE
0+Years Experience
0+Projects Shipped
0.9%Uptime Delivered
0+Tech Stacks
Capabilities

Engineering Solutions

Transforming complex business requirements into scalable, fault-tolerant technical architectures.

Backend Engineering

High-performance microservices, API gateways, and distributed databases built with Go and Python.

AI/ML Engineering

Custom LLM orchestration, model fine-tuning, and production-grade agentic workflows.

RAG Pipelines

Advanced vector search, semantic chunking, and contextual retrieval for enterprise knowledge bases.

Full Stack Web Apps

End-to-end web applications utilizing Next.js, React, and robust serverless architectures.

Voice & Call Agents

Real-time conversational AI pipelines with sub-second latency for telephony integrations.

Data Automation

ETL pipelines, workflow automation, and structured data extraction systems.

Portfolio

Flagship Architecture

PythonFastAPIPineconeLangChain

Enterprise RAG Engine

Problem

Legacy documentation systems caused 40% support ticket bloat due to unsearchable, siloed data.

Solution

Architected a distributed vector search pipeline with dynamic metadata filtering and semantic chunking.

Impact

Reduced MTTR by 60% and automated 15,000+ support queries monthly.

Node.jsWebSocketsTwilioOpenAI

Real-time Voice AI Gateway

Problem

High latency in LLM responses made telephony voice agents sound robotic and interruptive.

Solution

Built a custom streaming WebSocket server that chunks STT/TTS streams concurrently, achieving sub-400ms TTFB.

Impact

Scaled to handle 500+ concurrent inbound calls with a 98% human-retention rate.

Philosophy

Software is not just written. It is architected.

I believe in backend-first thinking. A flashy frontend cannot hide a brittle database schema or a synchronous bottleneck.

Security & Reliability

Every API endpoint assumes it is under attack. Rate limiting, input validation, and zero-trust architectures are not afterthoughts—they are the foundation. Systems must fail gracefully and log aggressively.

Scalable By Design

Monoliths are fine until they aren't. I design systems with bounded contexts, preparing for horizontal scaling and decoupled microservices when the business demands it. Statelessness is paramount.

Test Driven Reality

Code without tests is legacy code the moment it is committed. I enforce strict CI/CD pipelines with unit, integration, and load testing. Documentation is treated as executable code.

Stack

Technical Arsenal

Backend Core

PythonGoNode.jsFastAPIExpress

AI & Data

PyTorchLangChainPineconeMilvusOpenAI API

Cloud & DevOps

AWSGCPDockerKubernetesGitHub Actions

Databases

PostgreSQLRedisMongoDBElasticsearch

Frontend

ReactNext.jsTypeScriptTailwind CSS

Architecture

MicroservicesEvent-DrivenRESTGraphQLWebSockets
Methodology

Engineering Lifecycle

01

Discovery & Scope

Deep dive into business requirements, identifying constraints, scale expectations, and core data models.

02

System Architecture

Drafting the blueprint. Selecting the right databases, defining API contracts, and planning the infrastructure.

03

Agile Development

Writing clean, modular code with continuous integration. Building the core engine first, UI second.

04

Rigorous Testing

Automated unit tests, integration tests, and simulated load testing to guarantee fault tolerance.

05

Deployment & Ops

Containerized deployment to staging, blue-green production rollouts, and setting up observability dashboards.

Ready to scale your architecture?

Whether you need a fault-tolerant backend, a production-ready RAG pipeline, or a complete technical overhaul, let's discuss how we can build it right.