Architecting the Future with Intelligence

Hi, I'm Asfandyar

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Behind the Intelligence

Asfandyar

Asfandyar

Full Stack AI Engineer

I specialize in bridging the gap between complex human requirements and autonomous digital systems. My expertise lies in architecting scalable AI infrastructures using LangChain, RAG, and Agentic Workflows.

Continuous Learning95%
Problem Solving90%
System Architecture85%

AI & Automation Stack

95%

LLMs & RAG (GPT-4, Claude)

ProficiencyAI Core
92%

React & Next.js 14

ProficiencyFrontend
88%

Node.js & NestJS

ProficiencyBackend
85%

PostgreSQL & MongoDB

ProficiencyDatabase
90%

Python & Automation (n8n)

ProficiencyAutomation
85%

AI Agents & MCP Servers

ProficiencyAI Ops
88%

Express & REST / GraphQL

ProficiencyWeb APIs
80%

AWS & Cloud (GCP/Azure)

ProficiencyCloud

Neural Showcase

Exploring the frontier of autonomous intelligence and agentic workflows.

Agentic Support System
Project 01

Agentic Support System

Autonomous AI support agent built with LangChain, Next.js 14, and NestJS, featuring a sub-second RAG search over PostgreSQL data.

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Engineering Timeline

2024 - Present

Full Stack AI Engineer

AI Frontiers

  • Architecting end-to-end AI systems with Next.js, NestJS, and advanced LLM orchestrators.
  • Developing sophisticated agentic workflows that integrate directly with enterprise ERPs.
  • Leading technical strategy for full-stack AI integrations across multiple platforms.
2022 - 2024

Full Stack AI Engineer

CloudFlow Systems

  • Built and optimized full-stack cloud infrastructures to support high-scale AI inference workloads.
  • Engineered real-time data flow pipelines for large-scale sentiment analysis engines.
  • Refined cloud environments to increase system reliability and reduce operational overhead.
2020 - 2022

Full Stack Developer (AI Focus)

ZypZap Solutions

  • Developed high-performance SaaS applications with deeply integrated GPT capabilities.
  • Mastered the transition from monolithic architectures to scalable, AI-ready microservices.
  • Optimized front-to-back performance for AI-rich user interfaces.