Md. Anas Mondol
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I'm Md. Anas Mondol. Currently pursuing my M.Sc. in CSE at Daffodil International University with a major in Data Science, following a B.Sc. in CSE from City University of Bangladesh, where I specialized in Software Engineering. Throughout my academic journey, I have passionately explored the vast applications of AI, engaging in projects and research to solve real-world challenges. I have previously served in roles including Software Engineer, AI Engineer, Machine Learning Facilitator, and Research Engineer. I build things that learn. Over the years, that’s meant shipping autonomous AI agents, production-grade LLM chatbots, computer vision systems for object detection, and hybrid recommenders that blend NLP with user behavior, and many more. I have collaborated with esteemed institutions and organizations, including Samsung Research, Google, Omdena, City University, and Bartr.ai.
Proficient in Python, JavaScript, TypeScript, Java, Kotlin, 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. If you're building the next generation of foundation models, AI agents, or intelligent software — let’s talk.
Please feel free to reach out to me at mdanasmondol43@gmail.com.

News

  • [Apr 2026]: Awarded Merit Scholarship for M.Sc. in CSE at Daffodil International University, Bangladesh.
  • [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

Daffodil International University
Daffodil International University (DIU), Bangladesh
M.Sc. in Computer Science and Engineering  
(May 2026  -  Present)
  • CGPA: 3.70/4.00
  • Activities: Executive Member of Computer & Programming Club.
City University
City University (CityU), Bangladesh
B.Sc. 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  -  October 2025)
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, which improved user satisfaction scores by 25% and established a new benchmark for responsiveness in the current generation of smartwatches. Engineered a cross-platform application system supporting macOS, Linux, and Windows, streamlining repository workflows with native support for CI/CD tasks, issue management, and automated pull request handling. Designed the system for extensibility and performance, integrating GitHub API, local Git hooks, and customizable CLI/GUI interfaces to reduce product release preparation time by 48 hours/week and boost developer productivity by 30% across diverse environments.
Explore ML Facilitator, Google
(October 2020  -  June 2024)
Selected among the top 1% of applicants globally for an advanced ML fellowship under Google AI. Engineered and deployed high-impact ML models by integrating academic research with Google initiatives, while building and scaling a 5,700+ member ML community focused on technical collaboration and knowledge transfer. Effectively communicated complex ML concepts to diverse audiences while leading 12+ cutting-edge AI projects from research to deployment of Django, Flask, and FastAPI, improving model performance by up to 40% through optimized MLOps pipelines.
Artificial Intelligence Engineer, Bartr
(September 2023  -  December 2023)
Architected and led development of a production-grade Facial Expression Recognition system, boosting model accuracy from 56% to 100% on proprietary datasets. Engineered a novel hybrid CNN-LSTM architecture within a Django-based AI platform to capture spatial-temporal features, enabling real-time emotion analysis. Owned the full ML pipeline from data strategy and augmentation to model deployment, delivering a core technology that became the foundation for the company's flagship emotion-aware HCI product. Mentored a cross-functional team of 5 in advanced DL implementation and MLOps, translating research into scalable AI solutions.
Research Engineer, City University, Bangladesh
(June 2023  -  September 2023)
Developed a Flask-deployed cyberbullying detection system using multiclass ML and GPT-3.5 classification, achieving 92–94% accuracy after gathering and analyzing diverse social media data with robust NLP techniques to identify trends and demographic patterns. Demonstrated exceptional ML skills, achieving 94%, 93%, 92%, 92%, 93%, 94%, and 94% accuracy with the RF, SVM, LR, DT, Bi-LSTM, BERT, and GPT-3.5 models, and while innovating keyword-based strategies for enhanced cyberbullying detection.
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 92% accuracy, an LLM, OpenAI APIs, and an RAG-based text summarization tool with 68% performance and 62% user satisfaction. 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 97% accuracy, 96% 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 96% 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
Edge-BioFormer: A Decentralized Self-Supervised Transformer Framework for Early Diabetes Detection Using Wearable Physiological Signals
Md. Anas Mondol, Md. Safaet Hossain*
Hybrid Attention-Ensemble (HAE) Intelligence Framework for Early Myocardial Infarction Detection Using Wearable Sensor Data
Md. Anas Mondol, Md. Safaet Hossain*

Achievements

  • Recipient of Merit Scholarship for academic excellence in every semester at DIU, BD. [2026 - Present]
  • Recipient of Best Undergraduate Thesis Award in Computer Science and Engineering at CityU, BD. [2023]
  • Recipient of Merit Scholarship for academic excellence in every semester at CityU, 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]