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Hassan Ali Khan  ·  CS Graduate, NUML (2nd FYP)  ·  Islamabad, PK

Agentic
AI Architect

Bridging the gap between large language models and measurable business ROI.

I design and ship autonomous AI systems that actually work in production — from multi-agent orchestration pipelines to full-stack SaaS platforms. Currently building at Tango Systems and freelancing globally.

LangGraph LangChain RAG Pipelines FastAPI React Azure AI Supabase Python

I'm a Full-Stack AI Developer with a specialization in agentic systems — autonomous AI architectures that reason, plan, and execute multi-step workflows without human intervention.

My path from infrastructure at SNGPL to AI engineering at Kartoa Technologies gave me an engineering discipline that most AI developers lack: I understand the operational constraints that make or break a production system, not just the model that powers it.

At Tango Systems, I build systems where LLMs are components in larger, verifiable pipelines — not magic boxes. I treat every agent as a software engineering challenge: deterministic inputs, measurable outputs, and auditable state.

As President of the NUML CSR Society, I led cross-functional teams and community-scale initiatives — the same leadership model I bring to client engagements. Proven track record of delivering industrial-grade AI solutions across FinTech, HR, AgriTech, and civic platforms.

4+
Production AI Systems
3+
Years Engineering
2nd
Position in FYP, NUML
Agentic Possibilities
Full-Stack Developer
TANGO SYSTEMS · CURRENT
Building production AI systems with multi-agent orchestration, FastAPI microservices, and React frontends for global clients.
Freelance AI Developer
INDEPENDENT · ONGOING
RAG pipelines, LangGraph agents, and SaaS platforms for clients across FinTech, HR, and AgriTech verticals.
AI Engineer
KARTOA TECHNOLOGIES
Specialized in LLM integration and intelligent automation. Built the AI foundation for multiple client-facing products.
Infrastructure Engineer (Intern)
SNGPL
Industrial-scale infrastructure experience — instilled the operational discipline underpinning my software engineering approach.
President, CSR Society
NUML UNIVERSITY
Led university-wide technology and community initiatives. 2nd Position in Final Year Project — AI-first graduation research.
01
Agentic Workflow Design
I architect and build autonomous multi-agent systems using LangGraph — stateful, fault-tolerant agents that execute complex business workflows end-to-end. From research pipelines to decision-making agents, I engineer autonomous systems that replace entire manual processes.
LangGraph LangChain Multi-Agent State Machines Tool Calling
02
Custom RAG Pipelines
Knowledge-grounded AI systems with semantically precise retrieval. I build production RAG architectures with vector databases, hybrid search, re-ranking, and hallucination guardrails — so your AI gives accurate, citable answers from your proprietary data.
Vector DBs Supabase pgvector Azure AI Search Embeddings Re-ranking
03
Full-Stack SaaS Development
End-to-end SaaS platforms built with React frontends and FastAPI backends, deployed on Azure/Supabase. I handle auth, billing, multi-tenancy, and AI feature integration — delivering a complete, scalable product, not just a prototype.
React FastAPI Supabase Azure Multi-tenant
04
AI Automation Consulting
Strategic GenAI implementation for organizations seeking measurable operational ROI. I audit existing workflows, identify high-leverage automation opportunities, and deliver production-ready systems — not slide decks. Focused exclusively on solutions that reduce cost or generate revenue.
Workflow Audit GenAI Strategy Process Automation ROI Modeling
PROJECT_01
Investment Analyst Agent
Multi-Agent · FinTech
A 3-agent LangGraph orchestration system that automates institutional-grade investment research. The Data Agent retrieves live market data and financials; the Sentiment Agent processes news and social signals through NLP models; the Synthesis Agent reconciles signals from both upstream agents to generate a structured investment thesis with confidence scoring. The architecture uses LangGraph's stateful graph model to handle branching logic, retries, and conditional routing — eliminating analyst hours per report cycle.
LangGraph LangChain FastAPI Azure AI Python
PROJECT_02
AI-Powered HR Parser
Automation · HR Tech
An intelligent resume processing pipeline that automates the top-of-funnel hiring workflow. CVs ingested in any format are parsed, normalized, and scored against configurable job criteria using LLM-based extraction with structured output validation. Automated scoring logic ranks candidates on technical fit, experience alignment, and keyword density — results are persisted to Supabase with real-time recruiter dashboards. Reduced initial screening time from days to under 4 minutes per batch.
LangChain Supabase FastAPI React PDF Parsing
PROJECT_03
Shikayat.pk
Civic Tech · Sentiment AI
A civic complaint resolution platform for Pakistan with an AI backbone for real-time sentiment analysis and urgency classification. Complaints submitted by citizens are automatically triaged by an NLP pipeline that scores emotional intensity, categorizes issue type, and flags escalation-worthy cases — routing them to the appropriate authority tier. The sentiment tracking layer surfaces aggregate dissatisfaction trends by region and department, giving administrators an operational intelligence layer that manual review never could.
NLP Sentiment Analysis React FastAPI Supabase
PROJECT_04
Agro World
AgriTech · FinTech Hybrid
A dual-vertical platform operating simultaneously as a FinTech marketplace and AgriTech ecosystem. Farmers access microfinancing tools, crop insurance modules, and commodity price intelligence alongside an AI-assisted advisory layer that delivers localized recommendations based on soil data, weather patterns, and market signals. The FinTech layer handles digital payments and lending workflows; the AgriTech layer ingests real-world sensor and satellite data — demonstrating that the most defensible AI products sit at the intersection of two established verticals.
React Native FastAPI AI Advisory FinTech APIs Azure
Layer 01
Intelligence
LangGraph
LangChain
RAG / Vector DBs
Azure OpenAI
NLP / Embeddings
Prompt Engineering
Layer 02
Core
Python
FastAPI
React
TypeScript
React Native
REST / WebSockets
Layer 03
Cloud / Data
Azure AI Services
Supabase
PostgreSQL
Docker
CI/CD Pipelines
Redis / Queues

Let's build
something autonomous.

If you have a business problem that deserves an agentic solution — a workflow to automate, a knowledge base to make intelligent, or a product to ship — I want to hear it. I take on a limited number of engagements per quarter to ensure delivery quality.

Available for new projects — Q3 2025
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