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Curriculum Vitae of Apu Chandraw Shill - NLP Engineer & AI Researcher.
Basics
| Name | Apu Chandraw Shill |
| Label | NLP Engineer & AI Researcher |
| apu3660@gmail.com | |
| Phone | +880 1996 408842 |
| Url | https://apucs.github.io/ |
| Summary | NLP Engineer at Verbex AI specializing in Large Language Models, Computer Vision, and Deep Learning. Published researcher at ACL 2025 and IEEE. |
Work
-
2023.09 - Present Dhaka, Bangladesh
NLP Engineer
Verbex AI
Contributing to innovative projects in natural language processing, leveraging expertise in deep learning and computer vision.
- LLM-based Expressive Semantic Translation system for Bengali
- Collaborative multi-agent systems for synthetic data generation
- RAG pipelines with optimized retrieval and embedding methods
- Bengali intent classification achieving 93% F1-score
-
2021.11 - 2023.08 Dhaka, Bangladesh
AI Engineer
BJIT Limited
R&D on object detection, face recognition, and emotion detection systems.
- 98% face classification accuracy with Facenet
- 1st place in training program
-
2021.04 - 2021.10 Dhaka, Bangladesh
Lecturer, Dept. of CSE
Prime University
Conducted theory and lab sessions for undergraduate students.
- Coordinator: Prime University Programming Club (PUPC)
-
2019.01 - 2020.12 Rajshahi, Bangladesh
Undergraduate Research Assistant
RUET
Conducted research in computer vision and deep learning.
- Peer-reviewed conference publication at IEEE ACMI 2021
Education
-
2016.01 - 2021.03 Rajshahi, Bangladesh
B.Sc.
Rajshahi University of Engineering and Technology (RUET)
Computer Science and Engineering
- Data Structures
- Algorithms
- DBMS
- Operating Systems
- Computer Networks
- Artificial Intelligence
Certificates
| Data Scientist Nanodegree | ||
| Udacity |
| Computer Vision Nanodegree | ||
| Udacity |
| Machine Learning | ||
| Coursera |
| Deep Learning Specialization | ||
| Coursera |
Awards
| 1st Place - Training Program (2022) | ||
| BJIT Limited | ||
| Certified Peer Educator (2012) | ||
| PIACT, Bangladesh | ||
| Government Scholarships | ||
| Dhaka Board, Bangladesh | ||
| Science & Math Olympiad | ||
| Divisional & National Level | ||
Skills
| Core Technologies | |
| Artificial Intelligence | |
| Machine Learning | |
| Deep Learning | |
| Computer Vision | |
| NLP | |
| Large Language Models |
| Programming | |
| Python | |
| C | |
| C++ | |
| SQL | |
| MATLAB |
| LLM Frameworks | |
| OpenAI Agents | |
| LangChain | |
| LangGraph | |
| LlamaIndex | |
| AutoGen |
| ML/DL Libraries | |
| PyTorch | |
| TensorFlow | |
| NumPy | |
| Pandas | |
| Scikit-Learn | |
| SciPy |
| Tools & Platforms | |
| Flask | |
| FastAPI | |
| GCP | |
| AWS | |
| Git | |
| Docker | |
| Kubernetes |
Languages
| Bangla | |
| Native speaker |
| English | |
| Professional (IELTS 7.5) |
Interests
| Research | |
| Large Language Models | |
| Natural Language Processing | |
| LLM Security & Generative AI | |
| Computer Vision | |
| Object Detection & Face Recognition |