Gopal Saini

Gopal Saini

Full Stack Architect • Cloud Architect • AI/ML Engineer

AI & ML with expertise in building scalable web applications & intelligent systems. Combining full-stack development, cloud architecture, and machine learning to create innovative, data-driven solutions.

About Me

Strategic problem solver. Lifelong learner. Inclusive, people-first leader.

</> Engineering Leadership

Experienced full-stack developer with deep expertise in JavaScript/TypeScript ecosystem, building modern web applications using React, Python/Node.js, & cloud technologies.

Passionate about clean code, scalable architectures, and leveraging cutting-edge technologies to solve complex problems. Strong focus on performance, security, and user experience.

AI/ML Expertise

Post Graduated in AI & ML with hands-on experience in supervised/unsupervised learning, deep learning, NLP, computer vision, and neural networks.

Built multiple end-to-end ML projects including predictive models, recommendation systems, image classification, and time series forecasting using TensorFlow, PyTorch, and scikit-learn.

Core Expertise

Proven technologies and leadership capabilities

Cloud & DevOps

AWS. Google Cloud Platform, Azure, Docker, Kubernetes, and CI/CD pipeline automation

Backend Development

High-performance, enterprise-grade platforms serving global users

Frontend Development

Building modern, responsive UIs with React, TypeScript, and Next.js

Python JavaScript TypeScript React Node.js AWS Google Cloud Platform Azure Docker MongoDB PostgreSQL

AI/ML Portfolio

Post Graduated in Artificial Intelligence and Machine Learning

Statistical analysis, machine learning algorithms, deep learning, NLP, computer vision, & neural networks.

Key Projects

  • Predictive modeling for business forecasting & customer analytics
  • Image classification & object detection using CNNs
  • NLP applications including sentiment analysis & text classification
  • Recommendation systems using collaborative filtering
  • Time series forecasting with LSTM & ARIMA models

Technical Skills

  • Supervised & Unsupervised Learning algorithms
  • Deep Learning with TensorFlow, PyTorch
  • Natural Language Processing & Computer Vision
  • Model deployment, MLOps, & production pipelines
  • Feature engineering & hyperparameter tuning
Python TensorFlow PyTorch Scikit-learn Pandas NumPy OpenCV NLTK Matplotlib Seaborn Jupyter

Let's Connect

Open to exciting opportunities in full-stack development, cloud architecture, and AI/ML engineering. Let's build something amazing together.