● Developed 3 different end to end RAG solutions with multilingual capabilities and multiple industry and domain verticals (Arabic, Turkish). ● Finetuned 7 billion, 13 billion, 40 billion parameters based LLMS for domain adaption , instruction tuning using Sagemaker Finetuning I and then Lora(low ranking adaption) to Tune LLM's for Project needs. ● Serving LLM's and Embedding Models on AWS Sagemaker real time inference endpoints, also customizing the deployment containers based on deepseed/mpi in case of non-availability of containers in Selected Regions of AWS. ● Engineered custom training and fine-tuning models via reverse engineering, leveraging single and multi-GPU setups for diffusion, transformers, and deep learning models. ● Deployed applications on AWS App Runner and RDS, integrating custom OpenAI scripts and sentence embeddings for efficient resume and CV analysis. ● Built an end-to-end pipeline using LangChain and OpenAI models to generate personalized course content and multiple-choice questions tailored to children's profiles, subjects, and topics. ● Developed clean, efficient, and scalable Python code to support complex AI applications, ensuring maintainability and performance optimization. ● Created, cleaned, and preprocessed high-quality datasets to ensure accuracy, relevance, and suitability for AI model training.

● Developed modern and responsive user interfaces using React, Next.js (v13), TypeScript, TailwindCSS, and JavaScript to deliver seamless user experiences. ● Built and maintained scalable backend systems with Node.js using the NestJS framework, creating robust APIs and ensuring system efficiency. ● Utilized frameworks such as Django, Flask, and FastAPI for microservices, backend solutions, and API development. Deployed applications using Docker for containerization. ● Deployed applications and managed cloud infrastructure on AWS S1, S2, and S3, ensuring secure, scalable, and reliable operations. Worked with Docker for containerized deployments and optimized CI/CD pipelines. ● Demonstrated proficiency in JavaScript, TypeScript, Python, NestJS, Docker, and the AWS ecosystem, enabling successful full-stack project delivery. ● Built databases and table structures for web applications.

● Built and maintained responsive and interactive user interfaces using React, Next.js (v13), TypeScript, and TailwindCSS, delivering high-quality, modern web applications. ● Developed scalable and efficient server-side applications using Node.js with the NestJS framework, designing RESTful APIs and managing business logic seamlessly. ● Created cross-platform mobile applications with React Native, ensuring smooth functionality and an intuitive user experience. ● Managed cloud services, utilizing AWS S1, S2, and S3 for data storage, deployment pipelines, and application scaling. ● Worked closely with cross-functional teams, including UI/UX designers, QA engineers, and stakeholders, to ensure project success. ● Conducted code reviews, implemented best practices, and optimized performance to ensure robust, maintainable, and scalable applications. ● Integrated third-party APIs to enhance overall application functionality and improve user experience. ● Working in an agile Scrum environment, I contributed to sprint goals by maintaining CI/CD pipelines for faultless integration, incorporating linting, unit testing and other quality checks.