Open to opportunities

Krissaan Amen Allah

@krissaanamenallah

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Aspiring Data Science and AI Engineer seeking New opportunities.

France

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What I'm looking for

I am looking for an entry-level position where I can grow my skills in data science and AI, contribute to innovative projects, and work in a collaborative environment that values creativity and continuous learning.

I am a passionate Data Science and Artificial Intelligence Engineer currently pursuing my MSc in Data Science and AI at the Institute Polytechnique de Paris. With a solid foundation in computer science and hands-on experience in AI engineering, I am eager to apply my skills in real-world applications. My journey has been marked by significant achievements, including developing an NLP pipeline that improved document processing accuracy by 90% and optimizing chemical language models to enhance performance while reducing memory usage by 70%.

Throughout my internships, I have honed my technical skills in programming languages such as Python and SQL, and I am proficient in various AI tools including TensorFlow and Keras. I have also led personal projects that showcase my ability to innovate, such as automating B2B company classification using large language models and fine-tuning models for financial predictions. I thrive in collaborative environments and am committed to leveraging my expertise to contribute to impactful projects.

Experience

Work history, roles, and key accomplishments

Research Internship - AI Engineer

STMicroelectronics

Apr 2025 - Present (3 months)

Developed an NLP pipeline for legal/financial document processing, extracting critical entities (Amounts, Dates, Stakeholders) with 90% accuracy. Accelerated model inference by 2x via quantization and KV Cache optimization, enabling real-time processing for high-volume document workflows.

NLP Model Quantization KV Cache Optimization LLMs)Customer Segmentation

Research Internship - AI Engineer

DAVID Laboratory - University of Paris-Saclay

Jan 2025 - Present (6 months)

Optimized Chemical Language Models through advanced quantization techniques, reducing memory usage by 70% with 3% accuracy degradation. Accelerated inference by 10x by integrating Echo State Networks (ESNs) with CLM embeddings, achieving a 40% reduction in latency.

Chemical Language Models Model Quantization Echo State Networks Optimization

Research Internship - Data Scientist

Medical Imaging and Technology Laboratory - University of Mo

Sep 2022 - Present (2 years 10 months)

Analyzed micro-expressions and EEG brain waves using convolutional neural networks (CNNs) to enhance cognitive assessments. Developed and implemented deep learning methods utilizing LSTM networks and autoregressive (AR) models to estimate comatose states.

CNN LSTM Networks Autoregressive Models Kalman Filter Deep Learning

Education

Degrees, certifications, and relevant coursework

Institute Polytechnique de Paris - University of Paris-Saclay

MSc 2, Data Science and Artificial Intelligence

Currently pursuing a Master of Science in Data Science and Artificial Intelligence. This program focuses on advanced topics in AI and data analysis.

University of Paris-Saclay

MSc 1, Intelligent Systems and Information Processing

Completed the first year of a Master of Science program in Intelligent Systems and Information Processing. Gained foundational knowledge in intelligent systems and information processing.