DILDAR

HUSSAIN

AI Engineer

I build AI systems that ship.

RAG & LLM Systems · AI-Powered SaaS

Dildar Hussain — AI Engineer
Scroll

IBUILDAISYSTEMSTHATSHIP.

AI Engineer focused on RAG, LLM systems and AI-powered SaaS products. I take problems from data and retrieval architecture to backend APIs, interfaces and deployment.

Capabilities
01

RAG

LangChainChromaDBFAISSBM25Sentence-Transformers
02

LLMs

GroqQwen3-32BLLaMA 3.3 70B
03

AI SAAS

FastAPIReactVite
04

COMPUTER VISION

YOLOv8OpenCVEasyOCRMediaPipe
05

MACHINE LEARNING

PyTorchTensorFlow
06

AUTOMATION

n8n
Selected Work
01

MEDPAK AI

Bilingual AI medicine information platform

A bilingual medicine information platform that uses OCR to extract medicine data from packaging, then retrieves relevant information through hybrid retrieval combining dense vector search with sparse keyword matching, powered by large language models for English and Urdu responses.

Selected for Alibaba Cloud AI Hackathon 2026
MEDICINE BOX→EasyOCR→MEDICINE / SALT→HYBRID RETRIEVAL→ChromaDB + BM25→Qwen3-32B→ENGLISH / URDU
ChromaDBSentence-TransformersBM25GroqQwen3-32BEasyOCRFastAPIReact/Vite
VIEW PROJECT
02

EXAM HALL MONITORING

Real-time suspicious-activity detection system

Real-time computer vision system for monitoring exam halls. Detects suspicious activities including unauthorized person presence, phone usage, book/page reference, and gaze-based peeking analysis.

YOLOv8MediaPipe Face MeshOpenCVFlask
person detectionphone detectionbook/page detectiongaze/peeking analysisreal-time monitoring
VIEW PROJECT
03

AI ATTENDANCE SYSTEM

Deep-learning face recognition attendance

A custom deep-learning-based face recognition attendance system trained on original images collected from classmates. Demonstrates custom dataset preparation, model training, and computer vision implementation.

Deep LearningFace RecognitionCustom DatasetComputer Vision
custom images of classmatescustom dataset preparationmodel training processface recognitionautomated attendance
VIEW PROJECT
04

SEMANTIC SEARCH AI

Embedding-based contextual search

Embedding-based search system that retrieves contextually relevant information instead of relying only on exact keyword matches. Uses sentence embeddings and vector search for semantic retrieval.

Sentence EmbeddingsVector SearchSemantic Retrieval
VIEW PROJECT
Experience

FROMEXPERIMENTSTOPRODUCTION.

ML ENGINEERING INTERN

FlyRank AI
Remote2026

Contributing to production ranking and recommendation systems as part of a remote ML engineering team.

IDON'TJUSTBUILDAIFEATURES.

IBUILDPRODUCTSAROUNDTHEM.

From retrieval architecture and LLM integration to APIs, interfaces and deployment, I enjoy taking an AI capability all the way to something people can actually use.

About

DILDAR HUSSAIN

AI Engineer.

Builder.

Problem solver.

Final-year BS Artificial Intelligence student at Superior University, Faisalabad, with a 3.85/4.00 CGPA and hands-on ML engineering experience.

Get in Touch

HAVE A PROBLEM?

LET'S BUILD THE
AI SYSTEM.

© 2026 Dildar Hussain. All rights reserved.

Built with Next.js, Three.js & GSAP