TASRIF NUR HIMEL

I am an AI/ML Engineer with deep experience in designing and deploying end-to-end AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, OCR pipelines, computer vision models, and automation agents.
I have contributed to impactful projects for UNESCO (handwritten OCR system), CDSR (LLM research tools), Daffodil International University (AI Proctor voice assistant, Smart Transport system, AI Photo Finder), and a US-based company (AI Call Assistant, Social Media Automation, ID Generation system).

My technical expertise includes Python, LangChain, Phidata, HuggingFace Transformers, FAISS, ChromaDB, YOLOv8, OpenAI/Gemini APIs, FastAPI, and LLM fine-tuning (LoRA/QLoRA). I enjoy building efficient, scalable AI workflows that solve real business problems.

I am currently completing my Bachelor’s in Software Engineering with a major in Data Science and constantly expanding my knowledge in machine learning, deep learning, and modern AI development.

I am an AI/ML Engineer with hands-on experience designing and deploying real-world AI systems, including LLM applications, RAG pipelines, OCR systems, Vibe Coding, No Code platform (make.com, n8n) and computer vision models. I have worked with organizations such as CDSR, Daffodil International University, and a US-based company, where I built AI assistants, automation tools, data analysis agents, and intelligent recognition systems. Skilled in Python, LangChain, LangGraph, OpeniAI, PyTorch, Tensorflow, HuggingFace, FAISS/Chroma/Pinecone, Flask, FastAPI and Prompt Engineering. I focus on building scalable, production-ready AI solutions that solve practical business problems. I specialize in solving real-world problems with efficient, scalable, and well-engineered AI solutions.

I am completing my Bachelor’s degree in Software Engineering with a major in Data Science at Daffodil International University. My academic studies provided a strong foundation in machine learning, deep learning, natural language processing, algorithms, and software engineering principles.
I have applied this knowledge through multiple university and industry projects involving LLMs, RAG architectures, OCR, computer vision, and AI-driven automation. This education has played a key role in strengthening my analytical thinking, problem-solving abilities, and ability to build effective, scalable AI solutions for real use cases.