Md Abu Bakar Siddiq Sayem

| Python, OCR, PyPDF, RegEx, Transformers
A users track, analyze, and manage their complete medical history in one
place.
• Developed an information extraction pipeline to process medical data from images and PDF documents using Python-based OCR
and parsing techniques.
• Structured and normalized extracted health information into a unified format for integration into patient profiles and medical
history tracking.
• Improved data accuracy and usability by handling noisy inputs and ensuring reliable conversion of unstructured medical records
into structured datasets.

• Executed tasks such as raw data collection, data cleaning, exploratory data analysis (EDA), and extracting actionable insights
from datasets.
• Built reusable and optimized NLP pipelines for multiple tasks including data cleaning, QA, sentiment analysis, and text generation.
• Collect, preprocess, and annotate datasets for training and evaluating NLP models.

• Working on a Personal Medical Assistant project where extracting information from medical report.
• Developed a specialized extractive chatbot capable of processing text files (e.g., PDF, TXT), preprocessing the content, and
providing context-aware responses to user queries.
• Executed tasks such as raw data collection, data cleaning, exploratory data analysis (EDA), and extracting actionable insights
from datasets.
• Designed robust web scraping solutions for collecting and parsing raw data from online sources.
• Automated the extraction of relevant information from CVs, focusing on datasets such as BdJobs CVs to enhance efficiency.
• Fine-tuned Huggingface LLM models for diverse NLP tasks, including sentiment classification, information extraction, language
translation, and topic modeling.
• Developed an Encoder-Decoder architecture for Neural Machine Translation (English-Bangla), ensuring linguistic precision and
fluency.
• Created optimized pipelines for specific NLP tasks, such as data cleaning, question-answering, sentiment analysis, text generation,
and machine translation.
• Collect, preprocess, and annotate datasets for training and evaluating NLP models.
• Work closely with cross-functional teams to integrate NLP solutions into real-world applications and improve user experiences.

• Organized charity initiatives and community support programs to provide financial assistance to underprivileged families.

• Managed charity fundraising and flood relief initiatives to assist affected families and strengthen social collaboration.

• Co-founded a small startup with two teammates during our graduation to research and develop IoT-based smart solutions.

Image Processing, Numerical Methods, Operating System, System Analysis and Design, Electrical Circuit I
• Led discussions, tutorials, and lab sessions, providing support to students in coding problem-solving and project development.
• Return assignments to students in accordance with established deadlines and inform students of the procedures for submitting
class work, like lab reports.
• Evaluate lab performance, assist students with solving coding problems.
• Notify instructors of errors or problems with assignments, give feedback to the course teacher about students problems.
• Assist course teacher in developing teaching materials, and checking students projects and discussing their project ideas.

• Managed branch operations by organizing technical events and workshops, and coordinating with regional representatives to
promote teamwork and member development.