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.
AI/ML & Software Engineer
Internships & Roles
Projects & Research Completed
Tech Stack & Cloud Tools
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 MeNode.js, Express, FastAPI, RESTful APIs, AWS (EC2, Lambda, API Gateway, SNS, S3, DynamoDB), PostgreSQL/MongoDB, and Microservices.
TensorFlow, PyTorch, OpenCV, MediaPipe, Scikit-learn, GANs, SHAP, CNN-LSTM architectures, and XGBoost.
Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Networks, and DBMS.
HTML5, CSS3, JavaScript, React.js, Tailwind CSS, Git, Linux, CI/CD, Postman, VS Code, and Jupyter Notebook environments.
Real-world experience in software engineering, VOIP solutions, AI engineering, and tech mentoring.
Vigilant Forensic Research and Analytics Pvt. Ltd. • Remote
Carrierwing Technologies LLC • Remote
METAVEO LABS • Remote
Detailed software solutions built with Node.js, AWS Cloud, Python, Deep Learning models (CNN-LSTM, GANs), and AI integrations.
Engineered a scalable campus incident reporting platform with REST APIs supporting rapid creation, updates, and resolution tracking.
Real-time virtual mouse using OpenCV and MediaPipe 21-point landmark detection. Maps gestures to cursor movement, clicking, dragging, and scrolling.
Architected a parallel deep learning intrusion detection system combining a hybrid CNN-LSTM with GAN-based data augmentation. Leveraged TensorFlow MirroredStrategy for distributed multi-GPU training.
Developed an AI-powered Security Operations Center (SOC) dashboard that detects behavioral anomalies in access logs via XGBoost. Integrated SHAP for explainable AI metrics.
Engineered high-accuracy intrusion detection systems for enterprise networks. Evaluated Deep Learning models on complex datasets, utilizing techniques like GAN-based data augmentation for improved pipeline detection accuracy.
CNN-LSTM, GANs, XGBoost, Random Forest, SVM
TensorFlow, SHAP, Accuracy, Precision, F1-Score, ROC-AUC
Currently completing B.Tech in Computer Science (Artificial Intelligence and Machine Learning) at Vellore Institute of Technology. Maintaining CGPA: 7.83 / 10.
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