Neamul Islam Fahim
Computer Science and Engineering graduate focused on research-driven AI, data science, and practical software development across web, desktop, and machine learning products.
Research-led problem solving with polished digital experiences and production-ready logic.
About Me
Hello, I'm Neamul Islam Fahim
I am a Computer Science and Engineering graduate from United International University with experience in machine learning, research, teaching, and software development. My work combines practical engineering with a strong focus on AI, data analysis, and user-focused product thinking.
Currently, I work as a Junior Technical Researcher at ALXICORN, where I research ecosystem and compliance workflows, and I have also contributed as an instructor, a data science intern, and a social media marketing manager. I enjoy turning ideas into systems that are clear, scalable, and useful.
Skills & Expertise
Programming Languages
C/C++, Java, Python, PHP, JavaScript
Machine Learning & AI
Machine Learning, Deep Learning, NLP, Large Language Models (LLM), RAG, LangChain
Frameworks & Libraries
JavaFX, Java Swing, NumPy, Pandas, Matplotlib, Seaborn, Keras, Sklearn, Bootstrap, jQuery
Web Development
HTML, CSS, ReactJS, Bootstrap, responsive UI implementation
Data & Visualization
Data cleaning, analysis, visualization, dashboards, Power BI, research reporting
Tools & Design
Google Colab, Jupyter Notebook, Figma, Canva, Visual Studio, CursorAI, n8n, Microsoft Office
Databases & Design
MySQL, PostgreSQL, image editing, branding, identity design, UI and UX design
Professional Experience
Junior Technical Researcher
ALXICORN | May 2025 - Present | England (Remote)
- Conduct competitive research on 5+ centralized exchange platforms for new ecosystem development.
- Document user flows and system architecture and propose scalable, secure, compliant features.
- Research 10+ KYC SaaS providers for privacy-focused infrastructure and analyze document requirements.
- Create structured document collection frameworks and support audit and review procedures.
Social Media Marketing Manager
NFTi Emporium | United Kingdom
09/2022 - 09/2024
- Develop and execute social media strategies, create engaging content, and manage online communities.
- Track performance using analytics, optimize campaigns, and stay updated on trends.
- Strong copywriting, communication, and adaptability to platform changes.
Data Science and Machine Learning Virtual Internship
Learning Buds | India
10/2023 - 11/2023 | Remote
- Prepare and clean datasets for analysis, explore patterns and anomalies, and assist in developing machine learning models.
- Research new methodologies to improve accuracy and efficiency while continuously enhancing data science and ML skills.
Instructor
PetaAI Solutions | Dhaka, Bangladesh
09/2021 - 09/2022
- Teach and guide students in the fundamentals, best practices, and object-oriented programming concepts of both Java and Python.
- Facilitate hands-on projects and exercises to promote practical learning, while staying updated on the latest advancements in both languages.
Leadership and Participation
Campus and Competitive Activities
- Participated in the ICPC Dhaka Regional 2020.
- Participated in the Programming for Beginners Competition Season 3 at UIU.
- Participated in Coders Combat 3.0 at UIU.
- Conducted Python class at HRDI (Human Resource Development Institute).
- Finalist at Watchout 5.0 Presented by UIU Finance Forum.
Awards
25% Scholarship for Academic Excellence
United International University (UIU)
07/11/2020
2nd Position in Cybersecurity Section
GP Academy: Cisco Network Academy 4IR Learning Challenge
23/02/2023
Best Organizer Award
International Entrepreneurs' Day 2023, United International University
21/08/2023
My Projects
Voice Enabled RAG Assistant
An AI assistant that answers spoken questions with text and audio using Faster-Whisper, FAISS, and pyttsx3.
View LiveDiabetes Prediction using Machine Learning
A machine learning system focused on accurate diabetes prediction with data visualization and model exploration.
View on GitHubSentilytics
A React app for fast sentiment analysis that detects positive, negative, or neutral emotion in text.
View LiveMy Publications
Phishing Link Detection Using Ensemble Learning
Published in: 2024 27th International Conference on Computer and Information Technology (ICCIT)
View PublicationSentiment Analysis for Banglish Text using Machine Learning Approach
Published in: 2024 27th International Conference on Computer and Information Technology (ICCIT)
View PublicationHumor Detection Using Machine Learning Approach
Published in: 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
View PublicationDecision Tree using Feature Grouping
Published in: 2023 26th International Conference on Computer and Information Technology (ICCIT)
View PublicationGet In Touch
Contact Number: +8801916550132
Email: neamulislamfahim@gmail.com
LinkedIn: neamulislamfahim
GitHub: NeamulIslamFahim
ResearchGate: Neamul-Fahim