Data Scientist

Generative AI & NLP Engineer

Pak Technologies • Período integral

Sep 2023 - May 2026 • 2 yrs 8 mos

Worked on designing and developing Generative AI and Natural Language Processing (NLP) solutions focused on intelligent automation, conversational AI, and large language model applications. Experienced in building AI-driven systems for text generation, summarization, semantic search, and AI assistants using modern deep learning techniques. Key Responsibilities: => Developed Generative AI applications using Large Language Models (LLMs) and transformer-based architectures. => Built NLP pipelines for text classification, summarization, question answering, and semantic analysis. => Designed and optimized prompt engineering workflows for AI assistants and conversational systems. => Fine-tuned pre-trained language models for domain-specific NLP and generative AI tasks. => Worked on retrieval-augmented generation (RAG) systems and intelligent document processing solutions. => Performed data preprocessing, embedding generation, and vector-based search implementation. => Conducted model evaluation and optimization to improve response quality and system performance. Technical Skills: => Programming: Python, SQL => AI & NLP: Generative AI, LLMs, Prompt Engineering, RAG, Semantic Search, Text Generation, Named Entity Recognition (NER) => Frameworks & Libraries: PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, NumPy => Data Visualization: Power BI, Matplotlib, Seaborn => Other: Deep Learning, AI Automation, Data Processing, Research & Experimentation Achievements: => Developed AI-powered applications for automated content generation and intelligent assistance. => Improved NLP model performance through fine-tuning, prompt optimization, and advanced preprocessing. => Built scalable AI solutions for semantic search and knowledge retrieval tasks. => Successfully delivered Generative AI and NLP projects with strong accuracy and reliability.

Applied AI Engineer & NLP Researcher

Pakistan Engineering Council • Período integral

Feb 2022 - Jul 2023 • 1 yr 5 mos

Worked on developing AI-powered applications and Natural Language Processing (NLP) solutions focused on intelligent automation, language understanding, and generative AI systems. Experienced in building and fine-tuning NLP models for text classification, sentiment analysis, chatbot development, summarization, and information extraction. Key Responsibilities: Developed NLP and deep learning models for text analytics and language understanding tasks. Built AI-powered chatbots and conversational systems using modern transformer architectures. Worked on data preprocessing, tokenization, embeddings, and feature engineering for NLP pipelines. Fine-tuned pre-trained language models for domain-specific applications and improved inference accuracy. Conducted research and experimentation on generative AI, LLMs, and retrieval-based systems. Performed model evaluation, optimization, and performance analysis using real-world datasets. Collaborated with cross-functional teams to integrate AI solutions into practical applications. Technical Skills: Programming: Python, SQL AI & NLP: Transformers, LLMs, Text Classification, Sentiment Analysis, Named Entity Recognition (NER), Prompt Engineering Frameworks & Libraries: PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, NumPy Data Visualization: Power BI, Matplotlib, Seaborn Other: Deep Learning, Generative AI, Data Cleaning, Research & Experimentation Achievements Built NLP systems that improved text processing accuracy and automation efficiency. Developed AI chatbot and language understanding solutions for real-world business use cases. Improved model performance through fine-tuning, prompt optimization, and advanced preprocessing techniques. Contributed to AI research and experimentation involving LLMs and intelligent assistant systems.

Machine Learning & Data Science Engineer

Upwork • Freelance

Jan 2021 - Jan 2022 • 1 yr

As a Machine Learning & Data Science Engineer, I specialize in developing data-driven solutions using machine learning, statistical analysis, and predictive modeling techniques. I have experience working with structured and unstructured data to build intelligent systems that improve decision-making and business performance. Key Responsibilities Developed machine learning models for classification, regression, forecasting, and recommendation systems. Performed data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA). Built predictive analytics solutions using Python and modern ML frameworks. Created dashboards and visual reports for business insights and performance tracking. Optimized model accuracy through hyperparameter tuning and feature selection. Worked with large datasets to identify trends, patterns, and actionable insights. Collaborated with teams to deliver scalable and efficient AI-driven solutions. Technical Skills Programming: Python, SQL Libraries & Frameworks: Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy Data Visualization: Power BI, Matplotlib, Seaborn Databases: MySQL, PostgreSQL, MongoDB Other: Data Cleaning, NLP, Computer Vision, Time Series Forecasting, Deep Learning