**LLMs, RAG & Handwriting AI | AI Researcher @ Ink AI · AI Developer @ NASTP **
AI Researcher and Applied AI Engineer with 5 years of experience building and deploying machine learning systems in production. I work on large language models, RAG systems, computer vision, and handwriting AI.
- AI Researcher | Applied AI Engineer at Ink AI.
- AI Developer at NASTP.
- MS Data Science, FAST-NUCES
- Published research on Vision Transformers
AI & Machine Learning
LLM Frameworks & Tools
Vector & Graph Databases
Data Science
Backend & APIs
Cloud & DevOps
| Area | Details |
|---|---|
| LLMs | LLaMA, Qwen, DeepSeek · Fine-tuning (LoRA / QLoRA) · Serving with vLLM |
| RAG Systems | LangChain, LlamaIndex, GraphRAG · Qdrant, ChromaDB, FAISS, Neo4j |
| Computer Vision | ViT, Swin, LayoutLMv3, YOLOv8/v9, Mask R-CNN, Diffusion Models |
| Document & Handwriting AI | OCR, document extraction, handwriting recognition & synthesis |
| MLOps | Multi-GPU inference, Docker, Kubernetes, AWS SageMaker |
Enhanced Plant Species Identification using Metadata Fusion and Vision Transformers CMC: Computers, Materials & Continua (2025) — achieved 97.27% accuracy using ViT with metadata fusion.
Building production-grade AI that solves real problems