Sameed Hayat

Machine Learning Engineer at HLRS specializing in NLP and Generative AI. Led projects on log anomaly detection to boost system reliability, AI-driven patent trend analysis for strategic insights, and a generative AI chatbot enhancing knowledge sharing. Mentored student projects, fostering innovation and academic growth.

Removal of Personally Identifiable Information from text-based documents. Used sequence models ( Bi-LSTM and Temporal CNN ) for the task. Used semi-supervised technique known as Cross View Training (CVT) for tackling unavailability of annotated dataset. Used character-level contextual embeddings to handle typographical errors and out-of-vocabulary words.

Performed ETL operation over data including data extraction from source files in different formats, its transformation and loading to database using Python . Generated charts and reports using Pandas, Numpy and Matplotlib to analyze the data stored in files and database. Prepare test cases to perform verification and validation of software. Developed graphical user interface in PyQt for a simulation tool of solar power plants.

Performed daily data queries using SQL and prepared reports on daily, weekly, monthly, and quarterly basis. Used advanced Excel functions to generate spreadsheets and pivot tables. Automated daily tasks using VBA . Analyzed and visualized diverse datasets using Python, Pandas, NumPy, Pandas and SQL . Developed different use cases to provide key insights to customer to make better informed decisions.

Specialization in Information Systems (Machine Learning, Deep Learning, Deep Natural Language Processing, Recommendation Systems, Data Engineering, Distributed Systems, Business Analytics)