Brampton, Ontario, Canada
Passionate and results-driven Artificial Intelligence Developer with over 3 years of hands-on experience in designing, developing, and deploying cutting-edge AI solutions. Proven expertise in building scalable and efficient machine learning models to address complex business challenges. Adept at leveraging the latest technologies to create intelligent systems that drive innovation. Professional Achievements: Led the development of a chatbot system that improved customer engagement and reduced response time by 30%. Implemented reinforcement learning algorithms, optimizing resource allocation and improving system efficiency by 25%. Successfully deployed AI models in production environments, contributing to business process automation. I'm passionate about creating intelligent solutions through AI and continuously exploring new technologies to stay at the forefront of the field. Open to networking, collaboration, and new opportunities to apply my skills in artificial intelligence development.
• Developed AI based models such as chatbot, and face recognition, video recognition using cloud, cuda and cognitive services, with OpenAI • Built face Recognition security based platform using, boto3, scikit-learn, karas, pandas, AWS-CLI , Html , css, jQuery, and developed and trained chatbot using Lex and Luis used deep learning algorithm training for the chatbot for the auto responses. • Developed a complete AI platform using python, JavaScript and NodeJS , MongoDB , Redis , MYSQL server for better and quick response and the chatbot response was 85% more than the previous versions. • Tuned and monitored machine learning models and deep learning models as well as computer vision for customers, optimizing performance and ensuring reliability. • Used MongoDB , NoSQL , MySQL , redshift and Redis , Kafka to store the data in the database for the chatbot and training module for lex and LUIS for training the chatbot and developed computer vision using NOSQL and stored all the data in the database. • Developer Video recognition module for EROS and used AWS, Azure platform for the development of the platform.
• Developed and implemented machine learning models for predictive analytics, chatbot , Kafka ,video and face recognition tools using cognitive and AI recommendation systems, and anomaly detection. • Utilized tools such as TensorFlow and PyTorch for model development and optimization. • Worked on feature engineering, data preprocessing, and model evaluation to enhance performance. • Implemented and maintained end-to-end machine learning pipelines for real-time and batch processing. • Developed and deployed machine learning models for customer segmentation and churn prediction. • Utilized Scikit-learn and Keras for building and evaluating models. • Deployed the machine learning chatbot in the Apache/ tomcat server and was initializing the first round of Unit testing. • Conducted A/B testing to measure the impact of machine learning solutions on business KPIs.