- Accomplished efficient database querying, reducing query execution time by 30% - Developed comprehensive reports utilizing advanced data models and templates, enhancing reporting accuracy and efficiency - Utilized detailed logs generated by applications to identify, analyze, and resolve issues efficiently which helps to find the root causes of technical issues.- Provided effective technical support on the entire application to teams within the organization, ensuring uninterrupted operations and minimizing downtime - Performed end-of-day (EOD) operations, maintenance, customization, and troubleshooting on applications, ensuring smooth functionality and resolving issues promptly - Escalated and communicated with vendors to resolve higher-level issues, ensuring effective solutions and minimal disruption to operations

- Writing optimized queries, Developing reports using data models and report Templates- Providing effective technical support on the entire application to teams within the organization - EOD operations - Maintainace operation and troubleshoot on Applications- Customization- Resolving open issues- Controlling some servers like checking their availability- When there are higher issues that should be escalated communicating with vendors and providing solutions

Build Q&A pipeline with RAG using Langchain , Improving RAG systems by using different approaches, and building a RAG evaluation pipeline with RAGAS.Using Pillow to combine multiple image elements into a single ad frame.Conducting Exploratory Data Analysis (EDA) on large datasets to explore, analyze, and develop models for further insights and understanding.I have specialized in developing Hugging Face APIs and optimizing AI models to excel in multilingual capabilities.Using Python for programming, and maximizing performance with GPU acceleration.I designed and engineered prompts tailored for evaluating the effectiveness of GPT-4 and GPT-3.5. Improved trading strategies using financial market data from Yahoo Finance on Cryptocurrencies. This focused on understanding market trends, testing trading strategies such as back testing and creating efficient data systems using Python, SQL, data management, machine learning operations and web development.I utilized the Redash chatbot add-on, an LLM that revolutionizes on data exploration using Natural Language Processing (NLP) for extracting insights from Redash dashboards and databases.Built scalable data infrastructure for NLP projects using transformer models, Python, and GPUs.

- Customizing the Applications developed by reviewing the user requirements- Fixing problems on the software and database, giving appropriate training to the customer