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Vinay Lohan

@vinaylohan

Applied Scientist Intern at Amazon

Kurukshetra, Haryana

AmazonNational Institute of Technology, Surathkal

Vinay Kumar Lohan is a recent graduate with a B.Tech in Information Technology from National Institute of Technology, Surathkal. He has professional experience as an Applied Scientist Intern at Amazon, where he enhanced chatbot performance using LLMs and RAG setups. His background includes deep learning model training at Samsung R&D and developing applications at Microsoft. He possesses strong technical skills in Python, C++, and various machine learning frameworks.

Experience

Applied Scientist Intern

Amazon

•Jan 2024 - Present

Enhanced seller chatbot performance by 7% through LLMs and RAG setup. Achieved a 12% optimization in retrieval augmented generation experiments. Conducted extensive research on self-RAGs, investigating over 8 embedding techniques to bolster system capabilities. Utilized LLMs and BERT models to verify if all questions were created from a dataset, achieving 92% accuracy.

SDE Intern

Samsung R&D Bangalore

•May 2023 - Jul 2023

Enhanced panoptic segmentation stability by 4% in video frames using deep learning models. Trained deep learning models on the CITYSCAPES-VPS dataset, comprising 500 videos. Collaborated cross-functionally to elevate product quality and enhance user experience.

Engage Intern

Microsoft

•May 2022 - Jun 2022

Developed a browser-based application demonstrating face recognition technology. Created a Windows-based product using advanced programming skills.

Education

National Institute of Technology, Surathkal

Bachelor of Technology

Information Technology

Jan 2020 - Jan 2024•Grade: CGPA: 7.58

Minors: Mathematical and Computational Sciences

CBSE

Class XII

Jan 2019 - Jan 2020•Grade: Percentage: 91

CBSE

Class X

Jan 2017 - Jan 2018•Grade: Percentage: 92.8

Skills

C/C++
Python
JavaScript
Java
HTML
CSS
SQL
MongoDB
Data Structures and Algorithms
DBMS
Operating System
Object-Oriented Programming
OOAD
Data Analysis
Machine Learning
Problem Solving
System Design
Git
Linux
Windows
LLMs
Team Collaboration