Research Intern — NIT Warangal
- Analyzed large-scale image datasets to improve training efficiency.
- Applied CNNs for image classification, enhancing prediction accuracy.
Shaik Moheeth Ahmed
AI & ML enthusiast • Computer Vision • NLP • Deep Learning
About
I’m an AIML student at SR University and an aspiring AI Engineer with hands-on experience in Computer Vision, NLP, and Deep Learning. I’ve worked on real-world AI projects during internships at NIT Warangal and Google–AICTE, and I enjoy building clean, user-focused ML applications.
Experience
Generative AI Intern — Google–AICTE (Virtual)
- Built and evaluated Generative AI use cases with LLMs and prompt engineering.
- Improved response quality and solutioning for practical AI applications.
Projects
Spam Detection
TF-IDF + Naive Bayes to classify spam messages with high accuracy.
Image Classifier
CNN to recognize handwritten digits from blurry MNIST images.
ChatDoctor AI
Streamlit app predicting diseases from symptoms with text-to-speech.
Virtual Keyboard
Computer-vision keyboard that types via finger gestures.
Eye Tracking
Real-time gaze tracking using OpenCV.
Generative AI App
Interactive app using LLMs on AWS PartyRock with prompt engineering.
Skills
Languages
Libraries & Frameworks
Domains
Other
Education
SR University — B.Tech, CSE (AIML)
Specialization in Artificial Intelligence & Machine Learning.
Certifications
- AWS Educate Machine Learning Fundamentals
- Introducing Generative AI with AWS
- AWS Academy Cloud Data Pipeline Builder
- AWS Academy Cloud Web Application Builder
- Microsoft Certified: Azure Fundamentals
- CCNA: Introduction to Networks
- CCNA: Introduction to Cybersecurity