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Ansh.
Welcome

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

Ansh Watts

AI/ML & Software Engineer

AWS Cloud
AI/ML & Python

3+

Internships & Roles

5+

Projects & Research Completed

15+

Tech Stack & Cloud Tools

My Skills

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 Me

Backend & Cloud

Node.js, Express, FastAPI, RESTful APIs, AWS (EC2, Lambda, API Gateway, SNS, S3, DynamoDB), PostgreSQL/MongoDB, and Microservices.

Node.js AWS FastAPI

AI & Computer Vision

TensorFlow, PyTorch, OpenCV, MediaPipe, Scikit-learn, GANs, SHAP, CNN-LSTM architectures, and XGBoost.

TensorFlow GANs SHAP

Core CS Fundamentals

Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Networks, and DBMS.

Java C++ Python

Modern Frontend & Tools

HTML5, CSS3, JavaScript, React.js, Tailwind CSS, Git, Linux, CI/CD, Postman, VS Code, and Jupyter Notebook environments.

React.js CI/CD Git
Experience

Professional Work History

Real-world experience in software engineering, VOIP solutions, AI engineering, and tech mentoring.

Internship

AI Engineer Intern

Vigilant Forensic Research and Analytics Pvt. Ltd. • Remote

Jun 2026 – Jul 2026
  • Engineered and optimized deep learning architectures (CNN-LSTM) for advanced forensic data analysis, improving pipeline detection accuracy.
  • Processed complex datasets using Python and GANs, reducing data noise and enhancing model training efficiency by 25%.
Internship

Software Engineer Intern - VOIP & Web Solutions

Carrierwing Technologies LLC • Remote

Jun 2025 – Aug 2025
  • Developed scalable backend modules and REST APIs for telecom applications, reducing data retrieval latency by 25% via PostgreSQL optimization.
  • Integrated AWS cloud services and CI/CD workflows to streamline deployment pipelines and improve system reliability.
Role

Software Development Engineer & Python Instructor

METAVEO LABS • Remote

Feb 2025 – May 2025
  • Architected backend Python microservices and engineered automated data pipelines, accelerating processing times by 30%.
  • Mentored students in advanced Object-Oriented Programming (OOP) and algorithms, designing real-world debugging exercises.
Portfolio

My Creative Works Latest Projects

Detailed software solutions built with Node.js, AWS Cloud, Python, Deep Learning models (CNN-LSTM, GANs), and AI integrations.

Node.js + AWS

Campus Incident Reporting

Cloud-Native Monitoring Platform

Engineered a scalable campus incident reporting platform with REST APIs supporting rapid creation, updates, and resolution tracking.

AWS EC2 Lambda API Gateway SNS & S3
Code
Computer Vision

Vision Mouse Gesture System

Touchless Virtual Pointer

Real-time virtual mouse using OpenCV and MediaPipe 21-point landmark detection. Maps gestures to cursor movement, clicking, dragging, and scrolling.

Python OpenCV MediaPipe PyAutoGUI
Code
AI Research

Parallel DL Intrusion Detection

Deep Learning Framework

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.

CNN-LSTM GANs TensorFlow
Code
AI & Security

AI Behavioral Anomaly Detection

SOC Dashboard System

Developed an AI-powered Security Operations Center (SOC) dashboard that detects behavioral anomalies in access logs via XGBoost. Integrated SHAP for explainable AI metrics.

XGBoost SHAP Streamlit
Code
Research & Credentials

Artificial Intelligence in Cybersecurity

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.

Models Implemented

CNN-LSTM, GANs, XGBoost, Random Forest, SVM

Tools & Metrics

TensorFlow, SHAP, Accuracy, Precision, F1-Score, 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.

Core CS Subject Mastery
Data Structures & AlgorithmsAdvanced
Database Systems & SQLProficient
Computer Networks & OSProficient
Contact

Let's Discuss Your Project

Let's make something new, different, and meaningful, or make things more visual or conceptual.

Call Me

+91 7229817908

Location

Vellore Institute of Technology, India

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