Abhijith User

Supported product development by testing workflows, analyzing user journeys, and identifying gaps. Gathered requirements, documented issues, and coordinated with cross-functional teams to support feature execution.

Completed a structured Product Management Fellowship focused on product strategy, user research, and feature prioritization. Delivered a case project proposing a 25% increase in SonyLIV's week one user engagement.

Trained state-of-the-art Large Language Models and fine-tuned AI models using Reinforcement Learning via Human Feedback (RLHF). Reviewed and generated technical content to support AI development.

Developed a predictive model to identify account dormancy by analyzing transaction data and implementing machine learning algorithms to improve account management.

Assisted in optimizing the casting process by analyzing production workflows and identifying areas for improvement. Gained hands-on experience in manufacturing operations, quality control, and process documentation.

Grade: 7.09

Pursued M.Sc in Computer Science with Specialization in Data Analytics, achieving a grade of 7.09.

Grade: 7.46

Completed B.Tech in Mechanical Engineering with a grade of 7.46.

Grade: 74.6

Completed Class XII (Senior Secondary) with a score of 74.6%.

Grade: 9.2

Completed Class X (Secondary) with a grade of 9.2.

Completed a Product Management Fellowship focused on product strategy, user research, and feature prioritization.

Earned the Executive Program in Algorithmic Trading (EPAT) certification from QuantInsti, Mumbai.

Grade: 81% (Elite + Silver)

Completed NPTEL online certification in Inspection and Quality Control in Manufacturing with 81% and Elite + Silver grade.

Grade: 54%

Completed NPTEL online certification in Smart Materials and Intelligent System Design with 54%.