Architecting Intelligent Systems with Creative Engineering
Computer Science Undergraduate at Vellore Institute of Technology specializing in AI & Machine Learning. Hands-on experience building backend REST APIs, scalable cloud architecture on AWS, and real-time computer vision systems.
Ansh Watts
AI/ML & Software Engineer
2+
Internships & Roles
5+
Projects & Research Completed
15+
Tech Stack & Cloud Tools
Why Hire Me For Your Next Project?
I specialize in backend architecture, cloud solutions, computer vision, and machine learning models. My passion is building robust, scalable products that solve real-world engineering problems.
Hire MeBackend & Cloud
Node.js, Express, RESTful APIs, AWS (EC2, Lambda, API Gateway, SNS, S3, DynamoDB) and PostgreSQL/MongoDB integration.
AI & Computer Vision
TensorFlow, PyTorch, OpenCV, MediaPipe, Scikit-learn, gesture-to-action recognition, and CNN-LSTM architectures.
Core CS Fundamentals
Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Networks, and DBMS.
Modern Frontend & Tools
HTML5, CSS3, JavaScript, React.js, Tailwind CSS, Git, Linux, Postman, and Jupyter Notebook environments.
Professional Work History
Real-world experience in software engineering, VOIP solutions, and tech mentoring.
Software Engineer Intern - VOIP & Web Solutions
Carrierwing Technologies LLC • Chennai, Tamil Nadu (Remote)
- Developed backend modules and REST APIs for telecom and VoIP applications.
- Integrated cloud services to improve scalability and deployment reliability.
- Collaborated with developers using Git workflows while debugging and implementing new features.
Python Instructor
METAVEO LABS • Remote
- Conducted live Python programming sessions covering OOP, file handling, exception handling, and data structures.
- Designed coding assignments, debugging exercises, and real-world Python mini-projects.
- Mentored students and improved problem-solving skills through practical programming sessions.
My Creative Works
Latest Projects
Detailed software solutions built with Node.js, AWS Cloud, Python, MediaPipe, and Machine Learning models.
Scalable campus incident reporting platform built with Node.js and PostgreSQL. Features REST APIs supporting creation, updates, and real-time monitoring.
Real-time virtual mouse using OpenCV and MediaPipe 21-point landmark detection. Maps gestures to cursor movement, clicking, dragging, and scrolling.
AI intrusion detection framework for Botnet, DDoS, and Brute Force attacks using Random Forest, XGBoost, and CNN-LSTM on NSL-KDD & UNSW-NB15 datasets.
Artificial Intelligence in Cybersecurity
Engineered high-accuracy intrusion detection systems for enterprise networks. Evaluated Machine Learning and Deep Learning models on benchmark datasets like NSL-KDD and UNSW-NB15.
Models Implemented
Logistic Regression, SVM, Random Forest, XGBoost, CNN-LSTM
Evaluation Metrics
Accuracy, Precision, Recall, F1-Score, and ROC-AUC
Academic Focus
Currently completing B.Tech in Computer Science (Artificial Intelligence and Machine Learning) at Vellore Institute of Technology. Maintaining CGPA: 7.83 / 10.
Let's Discuss Your Project
Let's make something new, different, and meaningful, or make things more visual or conceptual.
Call Me
+91 7229817908Email Me
anshwatts100404@gmail.comLocation
Vellore Institute of Technology, India