█
I build and automate things in the cloud, design AI-driven solutions, and streamline DevOps pipelines—making systems faster, smarter, and more secure. My toolkit includes Python, TypeScript, Rust, and C++, and I love applying them across cloud architectures, AI models, DevOps workflows, and IoT systems. Whether it’s deploying scalable microservices on AWS/Azure, training ML models, or hardening infrastructure with security-first practices, I focus on solving real problems with clean, efficient code. Constantly learning, always iterating—because in cloud, AI, and DevOps, the best solution is the one that evolves.
Understanding core cloud concepts, Azure services, pricing, SLA, and cloud governance basics for foundational cloud knowledge.
Exploring foundational AI concepts, including machine learning, computer vision, natural language processing, and responsible AI — with hands-on understanding of Azure AI services.
Gained hands-on experience with AI concepts and their applications in manufacturing — including computer vision, predictive maintenance, edge inferencing, and responsible AI. Completed with an industry-focused capstone project.
Comprehensive training in foundational and technical cybersecurity skills, covering risk management, network security, Linux, SQL, SIEM tools, threat detection, and Python automation — preparing learners for entry-level cybersecurity roles.
Lab-intensive specialization covering serverless data analytics and productionized machine learning on GCP. Includes training in data lakes, data warehouses, batch and streaming pipelines, and AI/ML analytics using Google Cloud services.
This five-course specialization covers building, training, and deploying ML models on Google Cloud using Vertex AI, AutoML, and BigQuery ML. It includes custom training with Docker, feature engineering, hyperparameter tuning with Vizier, and end-to-end MLOps workflows. Participants gain practical skills in writing scalable ML models in TensorFlow and productionizing them using GCP tools.
Led the technical initiatives and cloud-focused programs at the Google Developer Student Club during the 2023–2024 academic year. Spearheaded hands-on workshops, hackathons, and collaborative learning sessions focused on innovation, cloud computing, and software development.
AI-powered education platform offering personalized notes, quizzes, and study plans using Google Gemini AI, built with Next.js, TypeScript, and MongoDB.
Create and chat with customizable AI personalities in your browser using Google Gemini. Built with PHP and MySQL for easy self-hosting.
Retro Windows 98 desktop clone built using HTML, CSS, and JavaScript with working apps like Paint and classic games.
An immersive educational game where players defeat a dragon by answering dynamically generated quiz questions using AWS Bedrock and engaging animations.
AI-powered platform that transforms your photos and videos into narrated stories using Google Generative AI, AWS Polly, and automated editing workflows with Kestra.
AI-powered language learning platform with dynamic chat and quiz generation using Google Gemini, featuring secure Auth0 login and MongoDB-backed note tracking.