With over a year of hands-on experience in Artificial Intelligence development, I specialize in creating and integrating AI-driven solutions. My journey includes working on various projects such as developing intelligent chatbots and deploying AI models in real-world applications. I excel in collaborative environments and am committed to continuous learning to stay ahead in the rapidly evolving AI field.

• Short-term Goal: To secure a position as an AI Developer where I can leverage my expertise in AI model development, data processing, and system optimization to contribute to impactful projects.

• Long-term Goal: To become a leading expert in Artificial Intelligence, driving innovation and advancements that enhance the efficiency and capabilities of businesses and society.

MekongAI

• Developed and integrated APIs:

• • Designed and developed APIs to connect frontend with AI backend services.
• • Ensured the APIs operate securely, efficiently, and with high performance.

• Managed databases:

• • Designed and managed databases to store training data and AI model results.
• • Optimized data retrieval and storage performance, improving query response times by 30%.

• Data processing:

• • Collected, cleaned, and pre-processed data from various sources for AI model training.
• • Processed real-time data for applications requiring immediate responses, increasing processing efficiency by 25%.

• Trained and deployed AI models:

• • Built pipelines for training AI models, including model selection, training, and evaluation.
• • Deployed AI models on servers or cloud services for real-world applications, contributing to a 15% increase in user engagement.

• Researched Technologies and Algorithms:

• • Researched vector databases like Qdrant, Chroma, Faiss,... for storing and querying vector embeddings from text or images.
• • Implemented Retrieval-Augmented Generation (RAG) models combined with GPT-4 or local LLMs to create accurate responses from large datasets, enhancing customer satisfaction by 20%.
• • Utilized Knowledge Graphs (KG) with Neo4j or Apache Jena to represent relationships between entities and concepts, providing a strong knowledge base for chatbots and other AI applications.
• • Applied Large Language Models (LLMs) like GPT-4 or Llama-3 to improve the quality of chatbot responses.
• • Employed embedding techniques such as Word2Vec, GloVe, or BERT to transform text into numerical vectors for effective natural language processing.

• Developed intelligent chatbots:

• • Created chatbots using large language models (LLMs) like GPT-4 and Llama-3 to assist with customer support and sales.
• • Integrated advanced techniques such as Retrieval-Augmented Generation (RAG) to enhance the quality of responses.
• • Optimized customer support and sales processes to save time and resources for businesses, leading to a 10% increase in sales conversions.
• • Integrated chatbots with company websites to provide automated customer support and sales solutions.
• • Processed data from various file formats (PDF, DOCX, CSV, etc.) to supply information to the chatbots.
• • Implemented conversation memory to maintain context and improve customer interactions.

• Image Processing Technologies:

• • Used ComfyUI to create and manage image processing workflows, from data loading to preprocessing, analysis, and result storage.
• • Researched workflows for different functions such as image generation (AI-generated images), face alteration, clothing changes, and image restoration.
• • Integrated ComfyUI workflows for creating images from prompts or altering faces.
• • Incorporated DALL-E and CLIP for text-to-image generation and ensuring image accuracy with descriptions.
• • Used OpenCV and dlib for face recognition and manipulation techniques within ComfyUI workflows.
• • Applied DeepFake techniques to alter faces in videos, creating realistic but artificial videos.
• • Utilized Virtual Try-On (VTO) technologies like VITON to change clothing in images, allowing users to virtually try on outfits.