Raj Puniyani

As a Data Scientist at EPAM Systems, I focused on Generative AI applications and explored large language model (LLM) projects. I contributed to the development of an AI Reverse Engineering Tool aimed at modernizing legacy applications, utilizing advanced AI algorithms for code analysis.

In my role as a Junior Data Scientist at ACL Digital, I focused on computer vision and LLM projects. I developed a safety glass detection system for PepsiCo using YOLOv8 and implemented a legal document analysis system utilizing OpenAI's GPT-4 API.

As a Data Science Trainee at Straive India, I worked on medical document classification and entity extraction related to DNA diseases. I utilized Python and various ML models to achieve good accuracy in classification tasks.

During my internship at Techieshubdeep IT Solution, I developed a fashion accessories recommendation system and a hospital readmission prediction model. I applied machine learning techniques to enhance model performance and interpretability.

Grade: 8.2 CGPA

Completed a Bachelor of Technology (B.Tech) with a CGPA of 8.2. Focused on data science applications, particularly in Generative AI and exploring large language models (LLM).

Grade: 7.76 CGPA

Completed a Diploma in Mechanical Engineering with a CGPA of 7.76. Engaged in projects related to AI and reverse engineering tools.

Grade: 80.83%

Completed secondary education with a percentage of 80.83%. Focused on foundational knowledge in various subjects.