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I am currently pursuing an MSc in Artificial Intelligence at the University of Surrey, where I have gained hands-on academic research experience particularly in natural language processing, large language model post-training, and fine-tuning. I have a strong focus on model evaluation, reproducibility, and enjoy collaborating with diverse teams. My work has been published in areas such as sentiment analysis, GANs, and anomaly detection. I am passionate about building and deploying practical AI systems inspired by projects like Copilot. Skilled in Python, PyTorch, Git, and Docker, I am eager to contribute to global AI research initiatives and develop real-life AI applications that have meaningful impact.…I am currently pursuing an MSc in Artificial Intelligence at the University of Surrey, where I have gained hands-on academic research experience particularly in natural language processing, large language model post-training, and fine-tuning. I have a strong focus on model evaluation, reproducibility, and enjoy collaborating with diverse teams. My work has been published in areas such as sentiment analysis, GANs, and anomaly detection. I am passionate about building and deploying practical AI systems inspired by projects like Copilot. Skilled in Python, PyTorch, Git, and Docker, I am eager to contribute to global AI research initiatives and develop real-life AI applications that have meaningful impact.

Arya Brijith Kumar

AI Engineer, Data Scientist, AI Developer, +1

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I am currently pursuing an MSc in Artificial Intelligence at the University of Surrey, where I have gained hands-on academic research experience particularly in natural language processing, large language model post-training, and fine-tuning. I have a strong focus on model evaluation, reproducibility, and enjoy collaborating with diverse teams. My work has been published in areas such as sentiment analysis, GANs, and anomaly detection. I am passionate about building and deploying practical AI systems inspired by projects like Copilot. Skilled in Python, PyTorch, Git, and Docker, I am eager to contribute to global AI research initiatives and develop real-life AI applications that have meaningful impact.…I am currently pursuing an MSc in Artificial Intelligence at the University of Surrey, where I have gained hands-on academic research experience particularly in natural language processing, large language model post-training, and fine-tuning. I have a strong focus on model evaluation, reproducibility, and enjoy collaborating with diverse teams. My work has been published in areas such as sentiment analysis, GANs, and anomaly detection. I am passionate about building and deploying practical AI systems inspired by projects like Copilot. Skilled in Python, PyTorch, Git, and Docker, I am eager to contribute to global AI research initiatives and develop real-life AI applications that have meaningful impact.

Available to hire

I am currently pursuing an MSc in Artificial Intelligence at the University of Surrey, where I have gained hands-on academic research experience particularly in natural language processing, large language model post-training, and fine-tuning. I have a strong focus on model evaluation, reproducibility, and enjoy collaborating with diverse teams. My work has been published in areas such as sentiment analysis, GANs, and anomaly detection.

I am passionate about building and deploying practical AI systems inspired by projects like Copilot. Skilled in Python, PyTorch, Git, and Docker, I am eager to contribute to global AI research initiatives and develop real-life AI applications that have meaningful impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Hindi

Advanced

Malayalam

Advanced

French

Beginner

Work Experience

AI and Cyber Security Research Intern at International Internship Pilot Program (IIPP), Taichung, Taiwan

November 30, 2023 - August 27, 2025

Conducted research in natural language processing and worked with GAN models to develop sentiment analysis techniques for predicting financial market trends using TextBlob and VADER. Published research articles on platforms like Google Scholar and ResearchGate, and prepared weekly and monthly progress reports. Research paper was selected for the MIMSE 2023 conference in Indonesia.

AI Research Intern at La Trobe University (Virtual), Australia

October 31, 2023 - August 27, 2025

Collaborated on creating a supervised machine learning model for detecting scam calls, achieving high precision and recall with limited false positives through feature extraction and natural language understanding. Developed concise reports and transcriptions guiding project deliverables. Co-authored a research paper focused on AI-based cybersecurity and anomaly detection.