CV
Education
- BSc in Electrical & Electronic Engineering from Islamic University Of Technology, Gazipur, Dhaka. (2018 - 2022)
- HSC in Science from Notre Dame College, Dhaka. (2015 - 2017)
- SSC in Science from Comilla Zilla School, Cumilla. (2011-2015)
Work experience
- Research Affiliate : Artificial Intelligence Institute,University of South Carolina (Sep 2022 - Present)
- My current research focuses on addressing challenging research problems, such as developing fact verification systems for identifying false information, detecting AI-generated text, and detecting hallucinations in large language models.
- Applied ML Researcher : Robi Axiata Limited (Sep 2022 - Present)
- Conduct user segmentation and develop customer life cycle management use cases to improve marketing campaigns, customer satisfaction, and retention strategies.
- Work with big data management tools and develop data storytelling dashboards to improve data-driven solutions, and explore new AI use cases for product and market monitoring.
- Reseacrh & Developement Intern : Unilever Bangladesh Limited (Oct 2021 - Jan 2022)
- Collaborated with cross-functional teams in agile methodology to develop data model solutions efficiently.
- Created visualizations in Power BI to track product KPIs. Initiated competitor monitoring project and integrated a dynamic dashboard into the SharePoint portal to support data-driven decision making for business growth.
Leadership experience
- Chair : IEEE Robotics & Automation Society IUT Student Branch Chapter (May 2021 - May 2022)
- Got featured in “The prestige magazine” where I shared my experience in the “club of the month” section.
- Affiliated with different university clubs and organized various workshops and sessions for the sustainable growthof the club.
- Arranged intra robotics competition for freshers and sophomore students.
- Head Of Administration : IEEE IUT Student Branch (May 2021 - May 2022)
- Planned and organized meetings, webinars workshops.
- Promoted fellowship among club members.
- Guided a team of 30 members in different club activities.
- Team Lead-Electrical System : IUT Mars Rover - Team Avijatrik (Feb 2021 - Feb 2022)
- Built robotics systems using ROS and designed 3D structures using Fusion360.
- Governed a team of 30 members in designing a ventilator for Covid-19 patients.
- Contributed in the electrical system ( Power storage management, motor drives, connection managements ) of the Mars Rover.
- Founder -Remedi (An online platform delivering authentic information about the Health Affairs of Bangladesh) (May 2020 - May 2021 )
- Built a chatbot-based platform to facilitate the users in getting necessary healthcare information.
- Connected with medical professionals for fetching valid healthcare information.
- Lead a team of ten members in answering the queries of the users.
- Linked with different blood bank group owners to provide immediate blood request of the users.
- General Secretary -IEEE Robotics & Automation Society IUT Student Branch Chapter (Jan 2020 - Jan 2021)
- Senior Technical Officer -IEEE IUT Student Branch (Jan 2020 - Jan 2021)
- Senior Member- Electrical System -IUT Mars Rover - Team Avijatrik (Jan 2020 - Jan 2021)
- Junior Technical Officer - IEEE IUT Student Branch (Jan 2020 - Jan 2021)
Skills
- Languages
- Python,SQL, C, Matlab
- Frameworks
- Apache Spark,Hadoop,Scikit, SciPy, NLTK, SpaCy, TensorFlow, Pytorch, Keras
- Tools
- Latex, Streamlit, Docker, GIT, Tableau, PowerBI, Oracle, Adobe Illustrator
- Platforms
- AWS,CDP
Certifications
- DataCamp: “Data Scientist with Python” career track. It consisted of 23 courses, 6 projects, and 3 skill assessments
Humanitarian Initiatives
- Remedi: A complete healthcare solution
During the COVID-19 crisis, our country witnessed patients facing difficulties as they moved from one hospital to another, searching for available treatment facilities. Lack of information about hospitals' requirements and the need for past documents added to their struggles. Additionally, doctors were at risk of contracting the virus due to patients concealing their COVID-19 illness.
To tackle these challenges, we developed an messenger chatbot equipped with essential features. It provided a list of nearby hospitals, information on available facilities, and the necessary documents for treatment. The app also maintained a central database of COVID-19 patients, implemented a visual identifier, and offered emergency assistance through an AI-powered bot.
Our aim was to revolutionize the healthcare experience during the crisis, easing the burden on patients and healthcare professionals. By leveraging technology, we strived to identify the most suitable hospitals based on patients' needs, contributing to a more efficient healthcare system.