Utilized state-of-the-art ML algorithms and advanced analysis techniques, including mouse movement and keystrokes, time analysis, request analysis, to swiftly identify and neutralize malicious bots. This fortified systems and ensured equitable access to essential services.Leveraged extensive data analysis alongside advanced ML algorithms to accurately distinguish genuine user interactions from automated bot activities. This initiative promoted operational efficiency, safeguarded critical infrastructure, and created a secure digital ecosystem within systems, benefiting users.

As a machine learning engineer, I developed an AI-powered model that can detect defects in images captured by UAVs for inspection purposes. The model utilized algorithms to identify various defects such as cracks, rust, and dents, and was trained on a large dataset to ensure high accuracy and dependability. This model is a valuable tool for improving inspection processes and reducing manual effort.

As a webGIS developer, I developed a user-friendly WebGIS application that revolutionized map accessibility and provided customized maps for each user's unique requirements. The application utilized cutting-edge drone technology to capture high-precision images and create accurate maps that met even the most demanding standards. I simplified map access for users by creating an intuitive and easy-to-use interface, enhancing user experience with the latest web technologies to create a seamless and efficient platform.

Designed a job recommendation system using natural language processing (NLP), in which a user's description is evaluated using a trained NLP model, and jobs are suggested based on the similarities between the user's skillset and the job's required skillset. Jobs are scraped from various trustworthy websites in real-time using Selenium and stored in a database.