Md. Anas Mondol
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I'm Md. Anas Mondol, a graduate with a Bachelor of Science in Computer Science and Engineering from City University of Bangladesh, specializing in AI and Software Development. Throughout my academic journey, I have passionately explored the vast applications of AI, engaging in projects and research to solve real-world challenges. Presently, I'm working as an AI Engineer at Samsung Research, and I have previously served as a Machine Learning Facilitator and Research Assistant. My projects include developing autonomous AI agents and intelligent chatbots using LLMs, implementing cutting-edge computer vision solutions like object detection and image classification, and creating hybrid recommender systems with NLP and many more. I have collaborated with esteemed institutions and organizations such as Google, Omdena, City University, and Bartr Financial Service.
Proficient in Python, JavaScript, TypeScript, Kotlin, Java, and C, and experienced with frameworks like PyTorch, TensorFlow, Keras, NLTK, OpenCV, LangChain, Scikit-LLM, etc. I have reviewed the International Journal of Human-Centric Intelligent Systems (HCIN). I am committed to advancing AI research and innovation. Join me as I explore the cutting edge of AI, from self-learning intelligent systems to ethical AI development, contributing to the future of this transformative field.
Please feel free to reach out to me at mdanasmondol43@gmail.com.

News

  • [Feb 2024]: Received Certificate of Appreciation for support in running the Explore ML with Crowdsource Program as a Machine Learning Facilitator from Google.
  • [Mar 2024]: Exclusive Speaker Invitation: Empowering Future Engineers with AI Insights at City University's Competitive Programming Camp.
  • [Jun 2023]: Speaker Invited to Ministry of Foreign Affairs (MoFA) Head Office, Bangladesh: Leading Discussion on Building Smart Bangladesh with AI by 2041.
  • [May 2023]: Invited Speaker: Leading Workshop on ML Model Development at Banglalink, Bangladesh.

Education

City University, Bangladesh
City University (CityU), Bangladesh
Bachelor of Science in Computer Science and Engineering  
(Nov 2019  -  Nov 2023)
  • CGPA: 3.57/4.00
  • Activities: Advisor of Competitive Programming Camp, Founder & Senior Campus Influencer of Google Crowdsource Learning Community (CLC), Founder & Campus Leader of AppLink Developer Community (ADC), Executive Member of Cyber Security Forum.

Experience

Software Engineer, Samsung Research
(April 2025  -  Present)
Developed and deployed a lightweight, modular question-answering system using LLMs and RAG, optimized for on-device inference on Samsung Galaxy smartwatches, achieving 83% accuracy via custom retrieval strategies, prompt tuning, and efficient post-processing, backed by a Flask-based microservice architecture. Enhanced the system to be 10x faster and automated for daily user interactions, making watches significantly smarter and more responsive than the current generation.
Explore ML Facilitator, Google
(October 2020  -  June 2024)
Selected among the top 1% of applicants globally for an advanced ML fellowship under Google AI; led 12+ applied research projects across AI, NLP, and ML, combining academic methods with scalable engineering using Django, REST API, Flask, and FastAPI. Built and maintained a global ML community of 5,700+ members to foster open collaboration, research dissemination, and technical mentorship; contributed to real-world impact through knowledge transfer and accessible ML education.
Artificial Intelligence Engineer, Bartr
(September 2023  -  December 2023)
Awarded Best AI Engineer, I transformed image dataset accuracy from 56% to 100% through hybrid architecture with CNNs and LSTM in developing Facial Emotion Recognition for Django-based AI systems. Leading the forefront of AI and ML algorithm research, design, and implementation, I delivered groundbreaking solutions that significantly enhanced project efficacy to detect fraudulent activities of users.
Research Assistant, City University, Bangladesh
(June 2023  -  September 2023)
I secured 1st place at my university's annual research exhibition by developing an advanced cyberbullying detection system with 92-94% accuracy, utilizing sophisticated multiclass ML and GPT-3.5 classification techniques, and deploying it in a Flask web application. I meticulously gathered and analyzed diverse social media data to identify cyberbullying trends, categorizing content by demographics for an in-depth analysis, and employing robust NLP techniques. Showcasing my proficiency in ML, I achieved 94%, 93%, 92%, 92%, 93%, 94%, and 94% accuracy with the RF, SVM, LR, DT, Bi-LSTM, BERT, and GPT-3.5 models, respectively, and pioneered innovative keyword-based detection strategies, demonstrating my expertise in NLP-driven text analysis and classification.
Artificial Intelligence Engineer, Omdena
(February 2023  -  September 2023)
I have engineered a range of advanced AI solutions, including a Yolov8-powered road inspection system achieving 97% accuracy, an LLM, OpenAI APIs, and an RAG-based text summarization tool with 75% performance and 56% user satisfaction, and a tourism chatbot boasting 72% user engagement. For Bangladesh's real estate sector, I designed a sophisticated hybrid NLP recommendation system with 93% accuracy. Additionally, I developed an HR interview preparation chatbot leveraging LLM, RAG, and OpenAI APIs, and I also built an AI-powered Fake News Detection system using DL, and NLP, achieving 99% accuracy, 100% precision, and 99% F1-score. Moreover, I developed a Computer Vision healthcare system for early disease detection of COVID-19, Pneumonia, Tuberculosis, and Lung Cancer, attaining 100% accuracy on large-scale CT scan data. All these applications are deployed seamlessly using Django, Flask, and Streamlit web technologies.

Publications

AI-Powered Frameworks for the Detection and Prevention of Cyberbullying Across Social Media Ecosystems
Md. Anas Mondol*, Md. Ashaf Uddaula, Md. Safaet Hossain*, Mst. Ayesha Siddika
Tuberculosis Detection using Deep Learning Neural Network from Radiographic Images
Istiaq Ahmmed Fahad, Md. Anas Mondol*, Md. Ahadul Islam

Achievements

  • Recipient of Best Undergraduate Thesis Award in Computer Science and Engineering at City University, BD. [2023]
  • Recipient of Institute Merit Scholarship for academic excellence in every semester at City University, BD. [2019-2023]
  • Runner-up at Banglalink Campus Ambassador program among 100+ Campus Ambassadors in Bangladesh. [2023]
  • Runner-up at Intra-University Programming Contest among 1,200+ contestants. [2022]
  • Champion at Inter-University Programming Contest among 5,000+ contestants. [2021]