AI Researcher | AI & DataScience Engineer
Ujjwal Sahu
Building data-driven AI systems for healthcare using LLMs, multimodal learning, and scalable deployment.
AI Engineer specializing in LLMs, Generative AI, Data Science, and Cybersecurity AI. I build real-world intelligent systems using deep learning, prompt engineering, scalable deployment, and offline-capable AI solutions that turn research into practical impact.
Technical Expertise
Intelligent AI engineering across LLMs, healthcare AI, cybersecurity, cloud infrastructure, Devops and mobile deployment.
•Programming Languages
Python
SQL
C++
Java
•Web
HTML
CSS3
React
Next.js
•AI / Machine Learning
Keras
Transformers
OpenCV
MediaPipe
NLTK
SciPy
matplotlib
seaborn
plotly
Flask
PySpark
Promptflow
Langchain
Generative AI
RAG
PyTorch
TensorFlow
Hugging Face
Scikit-learn
Pandas
NumPy
LLMs
•Development Tools
Git
GitHub
Linux
Jupyter Notebook
Anaconda
Spyder
PyCharm
Google Colab
VS Code
Android Studio
LaTeX
•Mobile / App Development
Flutter
Android Studio
REST APIs
Mobile Apps
•Cloud & DevOps
AWS
Azure
Docker
Kubernetes
Networking
Cloud Security
Projects
Research-driven AI systems built for healthcare impact, secure intelligence, cloud automation, and real-world deployment.
LLM + Healthcare AI + Flutter
AI-Based Aphasia Therapy System
An AI-powered digital therapy platform for aphasia language treatment using LLM-based cue generation, prompt optimization, and visual-semantic support.
- Used Qwen2.5-7B-Instruct for intelligent Traditional Chinese therapy cue generation.
- Applied Automatic Prompt Engineering (APE) to select optimized prompts per category.
- Integrated Stable Diffusion for therapy image generation.
- Prepared system for tablet/mobile deployment with offline inference support.
Flutter + AI + NIRS
AI-Based Anxiety Management Application
A mobile wellness application designed to support anxiety management through AI-assisted interventions and real-time interaction.
- Built Flutter-based mobile interface with user interaction features.
- Integrated breathing-based intervention flow and behavioral support.
- Worked on NIRS-related integration for physiological signal-based support.
Cybersecurity + GAN + ML
HybridGuard Intrusion Detection Research
Research work focused on improving minority-class intrusion detection in Dew-enabled Edge-of-Things environments.
- Designed GAN-based learning approach for imbalanced intrusion detection.
- Improved minority-class attack prediction using hybrid machine learning.
- Published in Computer Networks, Elsevier, 2025.
Medical AI
Early Cancer Detection using Deep Learning
A deep learning-based medical image analysis project for early cancer detection and segmentation.
- Built preprocessing and model training pipeline.
- Applied deep learning for medical image segmentation and diagnosis support.
Education & Experience
AI Engineer building secure, scalable, and real-world intelligent systems with LLMs, Generative AI, Cybersecurity, Cloud, and Healthcare AI.
Education
A journey of learning.
A path of purpose.
AI Researcher
Cybersecurity|Healthcare AI|Prompt Engineering|LLMs|Multimodal AI
Current Learning & Research Focus
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Taiwan Tech
M.Tech|Computer Science & Information Engineering|2023–2025
Generative AI, cybersecurity analytics, GAN-based learning, and scalable intelligent systems
Galgotias University
B.Tech|Computer Network & Cybersecurity|2016–2020
Software engineering, networks, data systems, cybersecurity, and healthcare technology
Jawahar Navodaya Vidyalaya
Secondary Education
Built discipline, curiosity, and the foundation for a technology-driven journey
Certifications
Professional certifications across cloud platforms, cybersecurity, automation, programming, and data-driven technologies.
Certified
AWS Cloud Practitioner – Certified Cloud Practitioner
Certified
AWS Academy Graduate – AWS Academy Cloud Security Foundations
Certified
AWS Academy Graduate – AWS Academy Cloud Foundations
Certified
HCL Internal ITIL Certification
Certified
Ethical Hacking Training – Internshala Core
Certified
Step Into Robotic Process Automation During GUVI’s RPA SKILL-A-THON
Certified
Big Data & Hadoop
Certified
Core Java Certification
Certified
Robotics Workshop
Research Publications
Published research advancing AI-driven cybersecurity, intrusion detection, GAN-based learning, hybrid machine learning, and imbalanced data optimization for secure Dew-enabled Edge-of-Things environments.
HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Environments
Computer Networks, Elsevier · 2025
Research focused on improving minority-class attack detection using GAN-based learning and hybrid machine learning for cybersecurity analytics.
Connect to the Future
Open to AI research, healthcare intelligence, cloud engineering, cybersecurity, and real-world intelligent system opportunities.