HANAN.OS — AI + FULLSTACK TERMINAL v2.6.0
ONLINEAI:ACTIVEFS:READY
[AGENT:01] Executing RAG pipeline → latency: 234ms · [FASTAPI] POST /api/agents/invoke → 200 OK 12ms · [BEDROCK:claude-3-5-sonnet] token throughput: 2,847/s · [REACT] Component hydrated — streaming LLM response · [AGENT:02] Tool call: search_documents() · [POSTGRES] Query optimised idx_scan: 3.2ms · [LANGRAPH] State checkpoint: {"step":7, "tools_called":12} · [REDIS] Cache hit rate: 94.3% · [PINECONE] Similarity search k=5 score:0.947 · [NEXTJS] SSR page built in 48ms · [STRANDS] Spawning sub-agent for financial analysis · [WEBSOCKET] Streaming tokens to client: 38 tok/s · [LANGSMITH] Tracing run_id: 7f4a9b2c-ae81 · [DOCKER] Container healthy — replicas: 3 · [STATUS] All systems operational · Uptime: 99.97% · [AGENT:01] Executing RAG pipeline → latency: 234ms · [FASTAPI] POST /api/agents/invoke → 200 OK 12ms · [BEDROCK:claude-3-5-sonnet] token throughput: 2,847/s · [REACT] Component hydrated — streaming LLM response · [AGENT:02] Tool call: search_documents() · [POSTGRES] Query optimised idx_scan: 3.2ms · [LANGRAPH] State checkpoint: {"step":7, "tools_called":12} · [REDIS] Cache hit rate: 94.3% · [PINECONE] Similarity search k=5 score:0.947 · [NEXTJS] SSR page built in 48ms · [STRANDS] Spawning sub-agent for financial analysis · [WEBSOCKET] Streaming tokens to client: 38 tok/s · [LANGSMITH] Tracing run_id: 7f4a9b2c-ae81 · [DOCKER] Container healthy — replicas: 3 · [STATUS] All systems operational · Uptime: 99.97% ·
▶ BOOTING HANAN.OS v2.6.0...
▶ NEURAL MODULES............... OK
▶ AGENT FRAMEWORK.............. OK
▶ FULLSTACK RUNTIME............ OK
▶ CLOUD INFRASTRUCTURE......... OK
▶ OPERATOR PROFILE LOADED...... READY

Senior AI Engineer & Full-Stack Developer
Multi-Agent Systems · LLM Architectures · React / Next.js · FastAPI · Cloud
◈muhammadhananasghar@gmail.com◈+92 326 966 7137◈linkedin.com/in/muhammadhananasghar◈Lahore, Pakistan · Open to Remote
0+
YEARS EXP
0+
AI + WEB APPS
0%
JOB SUCCESS
0+
FULLSTACK SAAS
● ONLINE✓ REMOTE⬡ FULL STACK★ TOP-RATED PLUS↗ OPEN TO HIRE
NEURAL ARCHITECTURE
● INPUT● HIDDEN● OUTPUT
hanan@neural-core:~$ cat summary.txt

Results-driven Senior AI Engineer & Full-Stack Developer with 6+ years of experience building production-grade multi-agent systems, LLM-powered applications, and end-to-end full-stack platforms. Deep expertise across the full AI agent ecosystem — OpenAI Agents SDK, Anthropic Claude SDK, AWS Strands Agents, LangChain, LangGraph, CrewAI, and AutoGen — building autonomous pipelines with complex multi-step reasoning, tool orchestration, and agent-to-agent collaboration. Expert in MCP, RAG architectures, PEFT/LoRA fine-tuning, and scalable LLM deployment on AWS Bedrock and SageMaker. Alongside AI depth, brings strong full-stack capability — React / Next.js frontends with real-time LLM streaming UIs, FastAPI / Django backends exposing AI agent endpoints, PostgreSQL, MongoDB & Redis data layers, and Docker / GitHub Actions CI/CD pipelines — to ship complete, production-ready AI products.

hanan@neural-core:~$ run diagnostics --ai-stack
── AI MODEL PROFICIENCY
GPT-4o / o1 / o3
OpenAI
EXPERT
Claude 3.5 Sonnet / Opus
Anthropic
EXPERT
Llama 3 / Mistral
Meta / Mistral AI
ADVANCED
Gemini 1.5 / 2.0
Google DeepMind
PROFICIENT
AWS Bedrock Stack
Amazon
ADVANCED
Command R+
Cohere
PROFICIENT
── FRAMEWORK PROFICIENCY
Multi-Agent Orchestration
96%EXPERT
RAG Architectures + MCP
94%EXPERT
LangChain / LangGraph
95%EXPERT
LlamaIndex / CrewAI
88%ADVANCED
PEFT / LoRA / QLoRA
83%ADVANCED
AWS Bedrock / SageMaker
87%ADVANCED
LangSmith / Observability
85%ADVANCED
Vector DBs (Pinecone, etc)
91%EXPERT
── FULL STACK PROFICIENCY
React 18 / Next.js
91%EXPERT
TypeScript
89%ADVANCED
FastAPI / Django REST
93%EXPERT
Node.js / Express
83%ADVANCED
REST / GraphQL / WebSockets
92%EXPERT
PostgreSQL / MongoDB
89%ADVANCED
Redis / Caching Layers
86%ADVANCED
Docker / GitHub Actions
85%ADVANCED
hanan@neural-core:~$ ls -la experience/
── WORK HISTORY
HORIZON DIGITALAustralia
Senior AI Engineer & Full-Stack Developer//Nov 2024 → Present
▸Architected production-grade multi-agent systems using OpenAI Agents SDK, Anthropic Claude SDK, and AWS Strands Agents for enterprise automation workflows.
▸Designed end-to-end RAG pipelines with LangChain, LangGraph & LlamaIndex, integrating Pinecone / ChromaDB / Faiss vector stores at scale.
▸Built Model Context Protocol (MCP) servers for seamless tool & data integration into autonomous LLM agents.
▸Developed Next.js / React frontends with real-time LLM streaming UIs using Server-Sent Events and WebSockets, delivering live AI assistant dashboards to enterprise clients.
▸Engineered FastAPI microservices exposing AI agent endpoints with PostgreSQL + Redis for session state, auth, and response caching; containerised with Docker and deployed on AWS ECS.
▸Led AI transformation: mentoring teams on prompt engineering (CoT, ReAct, ToT), agentic design patterns, and responsible AI deployment.
◆ KEY ACHIEVEMENTS
→Secured multiple enterprise clients delivering full-stack AI POCs with GPT-4o & Claude 3.5 Sonnet within days, accelerating the sales pipeline significantly.
→Cut client operational costs by 40% via LangGraph & Strands Agents multi-agent automation pipelines.
9EXGEN SOLUTIONSLahore, Pakistan
Senior AI Engineer & Full-Stack Developer//Jan 2022 → Oct 2024
▸Built LLM applications using OpenAI SDK, Anthropic Claude SDK & Hugging Face Transformers for NLP, code generation & document intelligence.
▸Architected multi-agent orchestration with LangGraph, CrewAI & AutoGen for complex, stateful autonomous business workflows.
▸Developed full-stack SaaS products — React / TypeScript frontends, Django REST & FastAPI backends, PostgreSQL + MongoDB data layers — serving AI features to thousands of end users.
▸Engineered real-time data pipelines using WebSockets and SSE to stream LLM outputs to live frontend dashboards; integrated GraphQL APIs consumed by web and mobile clients.
▸Fine-tuned GPT, Llama & Mistral models using PEFT/LoRA/QLoRA for domain-specific enterprise deployments.
▸Integrated AWS Bedrock (Claude, Titan, Llama) & SageMaker for scalable production LLM inference and evaluation pipelines.
▸Mentored a team of developers on agentic AI patterns, full-stack architecture, cloud infrastructure, and MLOps best practices.
◆ KEY ACHIEVEMENTS
→Reduced client manual effort by 60% through multi-agent decision-making pipelines for high-profile enterprise clients.
→Improved information retrieval accuracy by 85% over keyword search via advanced RAG pipeline architecture.
UPWORKRemote / Global
Senior AI Engineer & Full-Stack Developer (Freelance)//Sep 2019 → Present
▸Delivered 50+ end-to-end AI + full-stack projects: RAG systems, conversational AI, autonomous agents, and complete AI-powered SaaS applications.
▸Built full-stack AI products from scratch — Next.js / React frontends, FastAPI / Node.js backends, PostgreSQL + MongoDB databases — deployed on AWS, GCP, and Vercel.
▸Built custom agents using OpenAI Agents SDK, Claude SDK, LangChain & AWS Strands across fintech, healthcare, and e-commerce verticals.
▸Implemented REST and GraphQL APIs, real-time WebSocket layers, and CI/CD pipelines via GitHub Actions and Docker for autonomous, always-on AI services.
▸Implemented real-time observability for LLM systems using LangSmith, Arize Phoenix, and custom evaluation pipelines.
◆ KEY ACHIEVEMENTS
→Top-Rated Plus with 100% job success score across 50+ AI/LLM and full-stack projects.
→Full-stack AI SaaS platforms deployed to thousands of users, operating autonomously 24/7.
hanan@neural-core:~$ cat skills.json
── FULL TECH STACK
{
AGENT_SDKS:
OpenAI Agents SDKAnthropic Claude SDKAWS Strands AgentsGoogle ADKAutoGen
LLM_FRAMEWORKS:
LangChainLangGraphLlamaIndexCrewAIHaystackSemantic Kernel
MODELS:
GPT-4o / o1 / o3Claude 3.5 SonnetLlama 3MistralGeminiCommand R+
AGENTIC:
RAG PipelinesMCPReAct / CoT / ToTA2A ProtocolTool UseMemory & State
FINE_TUNING:
PEFTLoRAQLoRAHugging FaceLangSmithArize PhoenixW&B
VECTOR_DBS:
PineconeChromaDBFaissQdrantWeaviatepgvector
FRONTEND:
React 18Next.js 14TypeScriptTailwind CSSReduxReact QueryZustandFramer Motion
BACKEND_APIs:
PythonFastAPIDjango/DRFFlaskNode.jsExpressRESTGraphQLWebSocketsgRPC
DATABASES:
PostgreSQLMongoDBDynamoDBRedisSupabaseElasticsearch
CLOUD_DEVOPS:
AWS BedrockSageMakerLambdaEC2GCPAzureVercelDockerGitHub ActionsCI/CD
}
hanan@neural-core:~$ cat education.cert
── EDUCATION & CERTIFICATIONS
B.Sc. Electrical Engineering
University of Engineering & Technology, Lahore//2018 – 2022
◈Deep Learning Specialization — DeepLearning.AI2020
◈Applied AI Certificate — IBM2019
hanan@neural-core:~$ ls awards/
── AWARDS & RECOGNITION
🏆
AI/ML Reactor Competition
AWS & Epiphany — 2022
⭐
Top-Rated Plus
Upwork · 100% Job Success Score
🎉
Hacktoberfest Contributor
GitHub — 2020
HANAN.OS v2.6.0
SESSION ACTIVE✓ REMOTE READY★ TOP-RATED PLUS⚡ AGENTS ONLINE⬡ FULLSTACK READY
Lahore, PK · 2026