Hi, I'm Rezoan
Machine Learning Engineer & AI Solution Architect
I design AI-powered ecosystems that are both visionary and practical. Passionate about clean architecture, seamless integration, and delivering intelligent solutions that scale. Love building and integrating ML models into user-facing products.
Hello, I'm Rezoan Sultan
Artificial Intelligence and Machine Learning Engineer Based in Morgan State University .
I’m a doctoral researcher and Human-AI Interaction Engineer passionate about building practical, human-centered AI solutions. My work focuses on developing Large Language Model (LLM) applications fine-tuned with Human Feedback Reinforcement Learning (HFRL) to deliver adaptive, personalized experiences. I’ve designed and deployed agentic systems for education, healthcare, and safety, bridging NLP, machine learning, and real-world data streams. Currently, I’m working on real-time landslide monitoring systems by integrating environmental sensors, LiDAR analytics, and predictive ML pipelines. I’m driven by the challenge of making AI more responsive, reliable, and impactful across diverse societal domains.
8+
Years of Experience
22
Completed Projects
3+
Awards Winning
PORTFOLIO
E-commerce site using ML algorithms
Poster generator with DALL-E prompts
AI security systems and AI camera
AI invests & trades iOS application
SERVICES
Artificial Intelligence for IT Operations
Artificial intelligence, machine learning, monitoring and big data analytics to automate. Detect, diagnose, and resolve issues more efficiently than traditional methods.
Generative AI Software Development
We offer generative AI solutions to a variety of needs, including adaptive design, content, image generation, and rapid prototyping, allowing you to improve productivity.
Learning Engineer for Social Media Platforms
Develop and optimize AI-powered solutions for major social media platforms like Instagram, Twitter, TikTok. Work on building intelligent models for content, analysis and moderation.
AI ChatBot for Customer Support
Design and implement an AI-based customer service chatbot. Automated the customer service chatbot using NLP techniques, reducing and improving response time by 50%.
RESUME
Safety21 National University Transportation Center Research Intern
Pittsburg, PA
Installing geotechnical and environmental sensors (soil moisture, water pressure transducers, weather station) at a real-world, highway landslide-susceptible site to enable real-time landslide risk monitoring. Developing a Python-based machine learning pipeline, integrating real-time sensor data with ML models for early landslide detection and forecasting. Analyzing historical landslide datasets using statistical methods and ML techniques to identify susceptible zones, recurring patterns, and key risk factors, supporting model training and validation. Designing an interactive dashboard (Python/Streamlit) to visualize real-time sensor data, historical landslide patterns, and ML-based risk predictions, enabling stakeholders to monitor susceptible zones and make data-driven decisions.
Data Engineering and Predictive Analytics (DEPA) Research lab Research Assistant
Baltimore, USA
Research focuses on agentic LLM systems (planner/executor with tool use, RAG, HFRL) and scalable backend infrastructure (APIs, queues, async processing) with human-in-the-loop, automated evaluations, and telemetry to ensure reliability. Machine Learning research spans computer vision and time-series modeling, including feature engineering, model selection, and drift monitoring. Working as a TA (Teacher Assistant) with my research advisor, Dr. Kofi Nyarko, for the course 'Machine Learning Applications' (EEGR 565).
CEAMLS Summer AI Research Institute Graduate Mentor
Baltimore, MD
Mentored and supported a team of diverse undergraduate scholars from different fields. Provided expertise in leveraging OpenCV, YOLO, and Ultralytics to detect key traffic violations, such as jaywalking and red-light running, improving the accuracy and scalability of the solution. Supervised the SQL database architecture to store, manage, and query video data. Assisted in the preparation of graduate students for professional conferences and presentations.
Navana LPG LTD Supply Chain Analyst
Dhaka, Bangladesh
Streamlined inventory stock management by updating records through MS Excel and Oracle EBS. Projected future inventory requirements. Employed Oracle EBS to develop reports and perform data analysis. Applied data analytics for identifying and resolving supply chain concerns, resulting in improved performance. Monitor KPIs for compliance with established guidelines and standards.
AWS Certified Machine Learning
Google Cloud
Two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud.
Morgan State University
Baltimore, MD
Ph.D.: Electrical & Computer Engineering
Washington University of Science & Technology
Alexandria, VA
Master of Science in Information Technology
American International University - Bangladesh
Dhaka, Bangladesh
Bachelor of Science in Electrical & Electronic Engineering
SKILLS
Tools & Platforms
Soft skills
My Blog
Getting Started with Modern Web Development
Exploring the latest trends and best practices in modern web development. Learn about the tools and frameworks that are shaping the future of the web.
Best Practices for React Development
A comprehensive guide to writing clean, maintainable React code. Tips and tricks for improving performance and developer experience.
Understanding RESTful API Design
Learn how to design robust and scalable RESTful APIs that follow industry best practices and provide excellent developer experience.
Machine Learning in Production
A deep dive into deploying machine learning models at scale. Real-world case studies and lessons learned from production environments.
CONTACT
Phone
+1 (443) 862-0065
sultanrezoan@gmail.com
Address
Maryland, USA
This project represents a cutting-edge e-commerce platform powered by advanced machine learning algorithms. The system leverages predictive analytics to enhance user experience, optimize product recommendations, and streamline the shopping journey. Built with scalability and performance in mind, it handles high traffic volumes while maintaining lightning-fast response times.
Technologies Used
Key Features
- Intelligent product recommendation engine using collaborative filtering
- Real-time fraud detection and prevention system
- Personalized shopping experience with ML-driven insights
- Advanced search functionality with natural language processing
- Automated inventory management and demand forecasting
- Seamless payment integration with secure transaction processing