CV

Ashaduzzaman Sarker

Download Resume (PDF)

Career Objective

I am passionate about Artificial Intelligence, Data Science, and Machine Learning, aiming to contribute to technological excellence and organizational growth. I seek challenging opportunities in innovative environments where I can apply my expertise to drive impactful solutions.

Academic Background

Bachelor of Science (BSc) in Electrical and Electronic Engineering
BRAC University, Dhaka, Bangladesh
CGPA: 3.21/4.00 | Graduated: 2021

Higher Secondary Certificate (HSC)
Cantonment Public School and College, Rangpur
GPA: 5.00 (Golden A+) | Year: 2015

Secondary School Certificate (SSC)
Sathibari ML High School, Rangpur
GPA: 5.00 (Golden A+) | Year: 2013

Experience

Research Assistant (Data Management)
Centre for Entrepreneurship Development (CED), BRAC University
(June 2022 – Present)

• Conducting research on Bangladesh’s RMG industry, focusing on supply chain visibility, sustainability, and renewable energy.
• Key Projects:
  • Mapping Export-oriented Factories Mapped in Bangladesh (MiB)
  • Exploring Adoption of Renewable Energy Technology (RET) among Apparel Exporters
  • Addressing Climate Change and Plastic Waste in Bangladesh’s Garment Industry

Certifications

• Deep Learning Specialization

  Certified by DeepLearning.AI & Coursera

• Machine Learning Specialization

  Certified by Stanford Online & DeepLearning.AI

• IBM Data Science Specialization

  Certified by IBM & Coursera

• TensorFlow Developer Specialization

  Certified by DeepLearning.AI & Coursera

Technical Skills

Data Science & Machine Learning:

• Data cleaning, visualization, and modeling using Python, Pandas, NumPy, Matplotlib, Seaborn.
• Machine learning algorithms, time series forecasting (ARIMA, LSTM, Transformers).

Large Language Models (LLMs):

• Fine-tuning LLMs for text generation, summarization, and question answering using GPT, BERT, and T5.

Natural Language Processing (NLP):

• Experience in text classification, NER, and sequence-to-sequence modeling using Transformer-based models.

Computer Vision:

• Image classification, object detection, and segmentation with CNNs and Vision Transformers.

Multimodal Vision-Language Models (VLMs):

• Building models for tasks like visual question answering (VQA) and image captioning.

Tools & Technologies:

• TensorFlow, PyTorch, Hugging Face, Weights & Biases, Jupyter Notebooks, Git, SQL, MongoDB.

Projects

• NLP & LLMs Projects: GitHub
  • Text Sentiment Classification (IMDb, MRPC)
  • Text Summarization with T5
  • Named Entity Recognition (NER)
• Computer Vision Projects: GitHub
  • Image Classification with CNNs and Vision Transformers
  • Object Detection with RetinaNet
  • Image Segmentation with SAM & U-Net

Research Interests

Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI

Academic Achievements

• Talent Pool Scholarship in PSC and JSC Examinations
• BRAC University Merit-Based Scholarship

Languages

BANGLA: Native speaker | ENGLISH: Proficient

Professional Affiliations

• Research Intern, R&D Laboratory, Department of EEE, BRAC University
• Digital Marketing Intern, TEN’S 360-A Digital Marketing Agency
• Member, IEEE BRAC University Student Branch
• Member, Robotics Club of BRAC University