Data Scientist
with over 5 years of hands-on experience in developing, deploying, and optimizing AI-driven applications across diverse domains including Natural Language Processing (NLP), Computer Vision, and Generative AI. Highly proficient in designing predictive modeling pipelines, large-scale data processing workflows, and implementing state-of-the-art machine learning and deep learning solutions using Python, PyTorch, TensorFlow, and advanced frameworks such as Hugging Face and LangChain.
Specialized Skills
- Specialized in building Retrieval-Augmented Generation (RAG) systems
- Fine-tuning Large Language Models (LLMs) like GPT-2 and FLAN-T5
- Developing robust applications leveraging Generative AI technologies
Experience
- Experienced in managing full AI project lifecycles from problem scoping and data acquisition to model deployment and evaluation
- Adept at working on both research-driven projects and production-grade AI systems, ensuring high-impact outcomes aligned with business goals
Additional Qualities
- Highly organized
- Detail-oriented
- Passionate about continuous learning and innovation in Machine Learning, Deep Learning, and Artificial Intelligence
Career Objective
Seeking challenging opportunities to drive innovation, lead AI initiatives, and contribute to transformative, data-driven solutions within dynamic environments.