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Location

UK

Rate

$40  / per hour

Years of experience

5+

About

With a strong foundation in artificial intelligence and software engineering, I have honed my skills in full-stack development, data science, and cutting-edge AI technologies. My career journey has allowed me to specialize in advanced language models, such as GPT-4 and Claude AI, and I have successfully led projects that integrate these models into innovative applications. At Activate Intelligence, I have developed AI-powered solutions, including a rich text editor using Next.js and TypeScript, and implemented advanced techniques like Retrieval Augmented Generation (RAG) to enhance AI-generated content. My expertise also extends to cloud services, data streaming, and database management, enabling me to build scalable, efficient applications. Before my current role, I served as a Full Stack Engineer at ORCAs Informatica, where I developed web applications using Django and Flask and created REST APIs for seamless front-end and back-end communication. My experience as a Data Scientist at Popdot further sharpened my analytical skills, allowing me to drive product improvements through data-driven insights and machine learning models. My educational background, with a Master’s in AI from Queen Mary University of London and a Bachelor’s in Computer Engineering, underpins my technical proficiency and commitment to continuous learning in this rapidly evolving field.

Tech Stack

AI, AWS, Azure, ChatGPT, Django, FastAPI, Flask, Kafka, Machine Learning, MongoDB, Next.js, Python, React.js, SQL, Typescript

Experience

  • Specializing in cutting-edge AI models like GPT-4, Claude AI, and LLaMa, including model customization, fine-tuning, and seamless integration into AI-driven applications.
  • Leading the development of web applications using frameworks like Next.js, Django, and Flask, and creating REST APIs for efficient front-end and back-end communication.
  • Focusing on prompt engineering using tools like LangChain and EmbedChain to optimize AI prompts, resulting in improved model responsiveness and output quality.
  • Utilizing Confluent Kafka for robust data streaming and processing, supporting large-scale system efficiency and reliability in real-time data handling.
  • Managing vector search operations using vector databases like Pinecone and Qdrant, enhancing the system’s ability to handle complex queries and large datasets.
  • Translating natural language questions into Neo4j’s Cypher query language, enabling users to query graph databases effectively.
  • Implementing machine learning models to enhance functionality, improve user experience, and address complex data challenges across various projects.

Employment history

Artificial Intelligence Developer, Activate Intelligence January 2024 – Present
  • Specialized in AI models including GPT-4, Claude AI, LLaMa, and LangSmith for customization and integration.
  • Led the development of a rich text editor using Next.js, TypeScript, and Tailwind CSS.
  • Designed natural language processing solutions using Neo4j and Cypher queries.
  • Implemented Retrieval Augmented Generation (RAG) to improve AI-generated content relevance.
  • Managed vector search operations using Pinecone and Qdrant databases.
  • Utilized text-to-speech APIs like Amazon Polly and Eleven Labs for audio content generation.
  • Leveraged cloud services (AWS, Azure) for scalable AI application deployment.
Full Stack Engineer, ORCAs Informatica June 2020 – December 2023
  • Developed web applications using Django, Flask, and React.js.
  • Created REST APIs with Django Rest Framework for front-end and back-end communication.
  • Implemented deep learning models to enhance application functionality.
  • Managed databases with SQL, MySQL, MongoDB, and PostgreSQL.
  • Worked in an agile environment, utilizing agile methodologies for project management.
Data Scientist, Popdot February 2022 – May 2022
  • Analyzed user data using Python libraries for collection, manipulation, and visualization.
  • Developed and maintained ETL pipelines to optimize data processing efficiency.
  • Implemented machine learning models to improve product performance and user experience.
  • Collaborated cross-functionally to design and implement data-driven solutions.
Software Engineer Intern, Aselsan July 2018 – August 2018
  • Developed applications for data packet transfer using UDP/IP and TCP/IP protocols.
  • Created a full-stack application for project management using C# and MongoDB.
  • Worked in a team to enhance communication tools and improve efficiency.
  • Supported engineers and managers by developing tools to streamline work processes.
Software Engineer Intern, ARD GRUP July 2017 – August 2017
  • Conducted front-end and back-end development for a website using ASP.NET MVC framework.
  • Utilized Bootstrap, C#, JavaScript, HTML, CSS, and SQL Server Database in development projects.
  • Collaborated with team members to address technical challenges and improve project outcomes.
  • Implemented web design and functionality improvements for enhanced user experience.

Education history

Queen Mary University of London 2021 - 2022 Master of Science - MSc, Artificial Intelligence
Erciyes Üniversitesi 2015 - 2019 Bachelor of Science - BS, Computer Engineering
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