MUHAMMAD NOMAN RIAZ
Full-Stack AI Engineer
Lahore, Pakistan • +92 308 5744303 • muhammadnomanriaz599@gmail.com • LinkedIn • GitHub
Professional Summary
Full-Stack AI Engineer specializing in building intelligent automation systems, conversational AI agents, and production-grade machine learning solutions. Expert in designing RAG pipelines, autonomous agent orchestration with LangChain, and scalable AI-powered applications using Python, FastAPI, and modern LLM frameworks. Proven track record in developing end-to-end AI systems from data collection and model training to deployment and monitoring. Skilled in web scraping, data engineering, and creating intelligent assistants that solve real-world business problems.
Technical Skills
AI & Machine Learning
- Large Language Models (LLMs): GPT-4, Claude, Gemini, Qwen, LLaMA, OpenRouter, Prompt Engineering
- RAG Systems & Vector Databases: LangChain, LlamaIndex, Qdrant, semantic search, document retrieval
- Agent Orchestration & Frameworks: LangGraph, OpenClaw, MCP (Model Context Protocol), multi-agent systems
- Conversational AI: Voice agents, chatbots, natural language understanding, dialogue management
- ML Operations: Model deployment, monitoring, MLflow, experiment tracking, production ML pipelines
Python & Backend Development
- Python Frameworks: FastAPI, Django, Flask, RESTful APIs, async programming, WebSockets
- ML Libraries: Scikit-Learn, XGBoost, LightGBM, Pandas, NumPy, Matplotlib, Plotly, Seaborn, SciPy
- API Development: OpenAPI/Swagger, authentication (JWT, OAuth2), rate limiting, API gateway, microservices
Data Engineering & Web Scraping
- Web Scraping & Crawling: Crawlee, Playwright, Selenium, BeautifulSoup, Scrapy, Puppeteer, anti-bot bypass
- Data Processing: ETL pipelines, data cleaning, feature engineering, exploratory data analysis (EDA), data validation
- Workflow Automation: n8n, Make.com, Celery, Prefect, scheduled jobs, event-driven architectures
Databases & Data Storage
- Relational Databases: PostgreSQL, MySQL, SQLite, database design, query optimization, indexing
- NoSQL Databases: MongoDB, Redis, Firebase, Airtable, document stores, caching strategies
- Vector Databases: Qdrant, Pinecone, Weaviate, Milvus, embedding storage, similarity search
Frontend & Full-Stack Development
- JavaScript/TypeScript: React.js, Next.js, Node.js, Express.js, responsive design, state management
- Data Visualization: Chart.js, Plotly, D3.js, Streamlit dashboards, interactive analytics
DevOps & Cloud Infrastructure
- Containerization & Deployment: Docker, Docker Compose, CI/CD (GitHub Actions), serverless
- Cloud Platforms: Azure (Storage, Functions), AWS (EC2, S3, Lambda), Linux administration
Professional Experience
ABC TEKNOLOGY | Ottawa, Canada (Remote)
AI Engineer & Web Scraping Developer (Part-time) | Jan 2026 - Present
- Designed and developed a production AI shopping assistant for UAE grocery price comparison, using a FastAPI backend and LangGraph agent architecture to interpret natural-language shopping requests, search retailers in parallel, filter results, and rank products by relevance and value.
- Built parallel web-crawling and data-ingestion services for major UAE grocery retailers, supporting live product, price, availability, and catalog data for AI-powered shopping workflows.
- Developed a cross-platform React Native / Expo mobile application for iOS and Android with TypeScript, multi-provider OAuth, secure session management, and real-time backend communication.
- Extended the same AI backend to WhatsApp, enabling users to interact with the shopping assistant through multiple channels using Twilio.
- Implemented LLM-driven product ranking, availability filtering, relevance filtering, live progress streaming, and multi-step agent orchestration using LangGraph and OpenAI.
- Designed backend services with PostgreSQL and Redis for persistent data, caching, session management, and scalable request handling.
- Worked across AI architecture, backend APIs, web scraping, mobile development, authentication, integrations, and production deployment.
STECHAI | Lahore, Pakistan
AI / ML Engineer | July 2025 - Present
Full-time at a services company. One client at a time, in this order: Turing, Sila Insights, Hyly, then TheSixth.AI.
TheSixth.AI | AI / ML Engineer · current
- Marketing-research product for brands. Built the analytics and statistics dashboard on social data.
- Generated trends from that social data.
- Built AI assistants that answer from a knowledge base and a live database through live tool calls.
Hyly | AI Researcher · short engagement
- Worked with the team lead to extract statistics from Google Ads data.
- Presented the findings. The team built the product from that research.
Sila Insights | Data Scientist
- Described source data and produced the statistics the team used.
- Built the TrendGen pipeline: trends predicted from social posts, and emerging trends from those posts, current trends, and a large knowledge base.
- Built Prefect ETL pipelines for that processing, including embeddings, topic modelling, LLM-assisted trend naming, asynchronous jobs, and the admin console.
Turing | Data Annotation
- Completed assigned data-annotation projects with the StechAI team.
- Produced training data used to train Gemini.
FREELANCE AI ENGINEER | Remote
Independent AI Consultant | 2023 - Present
- Designed and delivered production AI, automation, CRM, marketing, conversational AI, and full-stack products for international clients across service, sales, marketing, and technology use cases.
- Built Tap Connect, a production digital identity and networking platform using Next.js, FastAPI, PostgreSQL, Redis, HubSpot, NFC, and QR workflows, including live profiles, card management, connection capture, analytics, team governance, and CRM integrations.
- Developed Communication AI Hub, a production CRM and communications operations platform integrating lead intake, automated nurture flows, email, SMS, voice, call review, inbound AI agents, human review queues, and CRM workflows.
- Built Marketing AI Hub, a multi-brand content and advertising platform that transforms field videos into AI-generated social content, campaigns, organic posts, and Meta advertising workflows with human approval and brand controls.
- Designed and deployed AI voice agents and omnichannel booking systems using VAPI, OpenAI, Twilio, FastAPI, n8n, and Airtable for automated phone, SMS, and web booking.
- Developed intelligent document-processing and knowledge systems using RAG, vector databases, LLMs, and MCP-based agent workflows for automated extraction, retrieval, validation, and reporting.
- Built full-stack AI applications combining Python/FastAPI backends with React, Next.js, and React Native frontends, integrating third-party APIs, automation platforms, databases, and cloud services.
- Worked directly with international clients on architecture, technical planning, implementation, integrations, debugging, deployment, and production optimization.
Key AI Projects
AI Shopping Assistant | Agentic AI
Python, FastAPI, LangGraph, OpenAI GPT-4o, React Native, Expo, TypeScript, PostgreSQL, Redis, Twilio
- Built a conversational grocery price-comparison assistant for the UAE supporting iOS, Android, and WhatsApp.
- Designed a multi-step LangGraph agent that interprets natural-language shopping requests, searches four major retailers in parallel, filters unavailable or off-topic products, and ranks the best matching products.
- Implemented parallel crawling, LLM-driven product ranking, live progress streaming, persistent sessions, and multi-channel delivery through a shared FastAPI backend.
TheSixth.AI Assistants and Social Analytics | Agentic AI
Social analytics, trend generation, knowledge base, live database, tool-calling assistants
- Built an analytics and statistics dashboard over social data for a marketing-research product used by brands.
- Generated trends from that social data and shipped AI assistants that answer from a knowledge base and a live database through live tool calls.
TrendGen for Sila Insights | ML / NLP
Python, Prefect, FastAPI, BERTopic, Sentence Transformers, MongoDB, Qdrant, OpenAI, React, TypeScript
- As data scientist, described the source data, produced the statistics, and built the pipeline that predicts trends from social posts.
- Produced emerging trends from posts, current trends, and a large knowledge base, with Prefect ETL pipelines for the data processing.
- Shipped embeddings, topic modelling, LLM-assisted trend naming, asynchronous jobs, and an admin console for generation, monitoring, and analysis.
AI Voice Agent & Booking Automation | Conversational AI
VAPI, OpenAI, Twilio, FastAPI, n8n, Airtable, Next.js
- Built an always-on conversational booking system handling phone, SMS, and web interactions.
- Implemented real-time availability checks, stateful booking flows, Airtable synchronization, and human handoff for edge cases.
- Optimized conversational turn-taking and backend orchestration for responsive interactions.
Education
Bachelor of Science in Computer Science
Arid Agriculture University Rawalpindi | 2021 - 2025
- Gold Medalist | Merit-Based Scholarship recipient for academic excellence
- Relevant Coursework: Artificial Intelligence, Machine Learning, Data Structures & Algorithms, Database Systems, Software Engineering, Distributed Systems, Natural Language Processing
Additional Information
Languages
- English (Professional working proficiency), Urdu (Native)
Core Competencies
- End-to-end AI system development from data collection to production deployment
- RAG system architecture and vector database optimization for semantic search
- Agent orchestration and multi-step reasoning with LangChain and OpenClaw
- Production ML deployment with monitoring, A/B testing, and continuous improvement
- Remote collaboration with international teams across different time zones