Tazkera Sharifi
AI/ML Engineer @ Booz Allen Hamilton | LLM | Oracle Certified Generative AI Professional | Deep Learning | AWS | Azure MLOPS | Snowflake Builder DevOps | DataBricks | Astrophysicist | Travel
- Role
- Artificial Intelligence Engineer Iii at Booz Allen Hamilton
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Tazkera Sharifi
As an accomplished Data Science Architect and Machine Learning Specialist, my expertise spans from healthcare to finance, underpinned by advanced knowledge in AWS, cloud computing, and generative AI. With a solid foundation in Computational Astrophysics, I have mastered the art of navigating and interpreting complex data landscapes across various industries. Professional Highlights: Cloud Computing and AWS Proficiency: My skill set includes extensive experience with AWS, Snowflake, databricks and cloud computing architectures, enabling scalable and efficient data management solutions tailored to diverse industry needs. Innovative in Generative AI and LLMs: I have delved deeply into the realm of generative AI, particularly with Large Language Models (LLMs), leveraging them to derive novel insights and automate complex tasks in data-rich environments. Custom Chatbot Development: Demonstrating my capability in AI, I have successfully developed custom chatbots using Retrieval-Augmented Generation (RAG) for knowledge grounding. This initiative underscores my proficiency in integrating AI with practical applications. Expertise in Deep Learning Frameworks: My toolkit includes advanced proficiency in PyTorch, TensorFlow, and Hugging Face, which I utilize for various applications, from neural network development to natural language processing (NLP) tasks. Natural Language Processing (NLP) Knowledge: With a firm grasp of NLP, I am skilled in transforming unstructured data into actionable insights, a crucial skill in today\'s data-centric world. Technical Skills: AWS, Cloud Computing, Generative AI, LLM, PyTorch, TensorFlow, Hugging Face, NLP, Python, Matplotlib, Seaborn, Scikit-learn, Logistic Regression, Support Vector Machines, Decision Trees, Random Forests, Deep Learning, AI. Transferable Skills: Curriculum Development, Stakeholder Engagement, Team Collaboration, Analytical Thinking, Commitment to Excellence. In my career, I have consistently bridged the gap between complex data science concepts and practical, impactful applications. My passion lies in harnessing the power of AI and cloud technologies to drive innovation and efficiency, particularly in fields like healthcare and finance. I am inspired by environments that value creativity, inclusivity, and the relentless pursuit of groundbreaking solutions. For opportunities to collaborate or to discuss how my expertise can contribute to your projects, feel free to contact me at t••••••••@gmail.com.
Experience
Artificial Intelligence Engineer Iii
Aug 2025 — Present
Education
University of Massachusetts Dartmouth
Master of Science - MS, Physics
2015 — 2017
BRAC University
Bachelor of Science - BS, Physics
2011 — 2015
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