AI Generalist | ML Engineer | Computer Vision & NLP
I build intelligent systems at the intersection of machine learning and real-world problems. With expertise in computer vision, natural language processing, and generative AI, I transform complex challenges into scalable, production-ready solutions. Currently exploring AI applications across healthcare, autonomous systems, and intelligent agents.
Applied deep learning and transfer learning techniques to real-world AI problems. Developed and optimized machine learning models with hands-on experience in Python and model deployment. Strengthened proficiency in data analysis, model evaluation, and translating business challenges into technical solutions. Contributed to research-driven AI implementations in a collaborative environment.
Built end-to-end machine learning applications across multiple domains. Developed Visual Question Answering system combining computer vision and NLP, intelligent Telegram bot with generative AI integration (text-to-image, weather APIs, dictionary definitions), and YOLO-based object detection system for real-time inference. Gained experience in multiple AI domains, API integration, and deploying ML models with practical functionality.
Integrated computer vision and natural language processing to build a system that understands images and answers questions about them. Leveraged pre-trained vision transformers and language models for end-to-end reasoning.
Developed an intelligent Telegram bot integrating multiple generative AI capabilities: text-to-image generation, weather API integration, and dictionary definitions with NLP-powered responses.
Implemented real-time object detection using YOLOv8 architecture. Deployed model for inference on images and video streams with optimized performance for edge devices.
Successfully completed the Google Arcade Program and achieved Legend Tier status. Explored hands-on labs and skill challenges on Google Cloud, enhancing proficiency in cloud technologies and real-world problem-solving. Won Google Arcade goodies as recognition of dedication and performance in the learning journey.
I'm always interested in connecting with fellow AI enthusiasts, collaborators, and opportunities to solve real-world problems with machine learning.