Data Scientist with 2+ years of experience in crafting and implementing data-driven solutions. Proficient in Python, SQL, and leveraging LLM’s for fine tuning and inference using Langchain framework along with cloud tech…
Data Scientist with 2+ years of experience in crafting and implementing data-driven solutions. Proficient in Python, SQL, and leveraging LLM’s for fine tuning and inference using Langchain framework along with cloud technologies such as Microsoft Azure to enhance business performance. Earned a Master's degree in Artificial Intelligence with Robotics with a GPA of 4.0 from the University of Hertfordshire, UK.
Engineered an AI-search algorithm using a BERT transformer model for architects on various PDF documents.
Reduced the time and effort of architects and engineers, leading to a 91.5% increase in work efficiency.
Created a RAG based application using Google PaLM to create a pdf chat bot for answering various queries to Dubai Building Codes.
Reduced time for architects in getting relevant searches for their queries, minimizing the time spent navigating through the document.
Orchestrated a software system using JavaScript and Flask to assist Architects in completing detailed calculations for early-stage project designs based on Excel spreadsheets.
Stored the entered data into a database, categorizing it by project type and sheet name.
Improved data management for current and past projects, streamlining the input process for architects.
Designed a software system with Flask to enhance design calculations that integrates with Revit for efficient data extraction related to architectural design.
Saved 138 man-hours and drove a 95% boost in productivity of both architects and engineers.
Applied SQL for database management.
Harnessed Power BI for actionable insights.
Contributed to enhanced data-driven decision-making for future price quotes within the organization.
Supervised a team of Data Scientists in deploying AI search algorithms for building code documents.
Resulted in 30% reduction of time taken by architects to search for information.
Captured real-time data using the Unity game engine for drone simulations, extracting both RGB and events data.
Used the data for object and event detection for self-driving air-taxis.
Developed and implemented a system which captures real-time data from Unity software.
Detected objects with 92% accuracy using the Yolo-V5 algorithm.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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