I build intelligent systems like RAG pipelines, multi-agent orchestration, voice AI, and no-code automation. End-to-end. Actually ships.
I'm an AI Engineer and BS AI graduate from COMSATS University Islamabad, passionate about building systems that work in the real world, not just in notebooks.
My core expertise spans end-to-end AI pipelines: fine-tuning open-source LLMs, building RAG-based production systems on AWS, and orchestrating multi-agent workflows with CrewAI.
I'm currently deep into voice AI agents (Vapi & Retell) and n8n automation, integrating AI into real business workflows. The goal: make AI actually useful for people who aren't engineers.
When I'm not coding, you'll find me studying how frontier AI systems are architected and figuring out how to build the next generation of them.
End-to-end retrieval-augmented generation pipelines covering document ingestion, vector indexing, LLM integration, and cloud deployment. Built to be accurate and production-ready.
Autonomous agent pipelines using CrewAI and LangGraph. Research, analyst, and writer agents working in concert to automate complex multi-step cognitive tasks.
Intelligent voice agents via Vapi and Retell for customer service, booking, and lead qualification. Natural conversations with LLM reasoning behind every response.
Visual AI workflow automation with n8n for CRM integrations, email AI, document processing, and lead nurturing, all triggered by real business events.
Custom CV models for detection, segmentation, and classification using YOLOv8 and PyTorch. From custom dataset training to real-time video inference.
Adapt open-source models to your domain using LoRA/PEFT via HuggingFace. Efficient fine-tuning on custom datasets without needing a massive GPU cluster.
Full-stack AI-powered lifestyle advisor built as a Final Year Project. Features real-time posture detection with voice feedback, agentic RAG providing personalized guidance with action capabilities like nutrition plan creation and workout generation. Includes a community blog platform with reactions and health metrics tracking with real-time anomaly alerts.
Production-deployed RAG medical chatbot on AWS. Ingests medical knowledge bases into Pinecone, retrieves context per query, and augments LLM responses for accurate, grounded medical answers. Full pipeline from HuggingFace embeddings to SageMaker endpoint.
Multi-agent CrewAI system that autonomously validates business ideas. A researcher gathers market data, an analyst evaluates viability, and a writer produces a comprehensive investment report with zero human intervention.
Dual-agent CrewAI pipeline where a research agent deep-dives any topic, passing structured findings to a writing agent producing publication-quality blog posts. Clean agent handoff and task decomposition.
YOLOv8 semantic segmentation model detecting and delineating potholes in real-time video. Trained on custom dataset with production-ready inference pipeline for smart city applications.
Parameter-efficient fine-tuning of open-source LLMs using LoRA/PEFT. Adapts foundation models to domain-specific tasks efficiently without needing a massive compute budget.
Real-time gesture classifier recognizing multiple hand gesture classes from live camera input. Shows ML training, custom dataset pipelines, and live inference, applicable to HCI and accessibility.
Intelligent voice agent for automated business interactions. Vapi/Retell for real-time voice + custom LLM backend for natural, context-aware conversations with persistent memory and tool calling.
Production n8n workflows integrating AI for automated lead nurturing with GPT, intelligent document processing, and multi-step decision pipelines triggered by CRM events. Making AI accessible to non-technical teams.
Looking for AI Engineering roles, freelance automation projects, and collaborations on agentic or voice AI. Based in Islamabad, open to remote worldwide.
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