Saloni Sharma

LLM Post Training Intern

Jammu, J&K 11802Artificial Intelligence and Machine Learning
2roles
22skills
4education
5credentials

About

Computer Science and AI/ML student with internship experience in LLM post-training, deep learning, and medical imaging research.

Experience

LLM Post Training Intern

Ethara.AI

March 2026 – May 2026 · India (Remote)

Worked on AI and data projects, including LLM post-training and evaluation; ensured quality and timely delivery through adherence to guidelines and continuous learning under expert mentorship.

Research Intern (Deep Learning for Medical Imaging)

IIT Jammu

July 2025 – August 2025 · India (Hybrid)

Gained hands-on experience with convolutional neural networks and recurrent neural networks, focusing on backpropagation and vanishing gradient issues; explored fundamentals and applications of large language models in deep learning.

Education

Institute of Technology and Management, Gwalior

Bachelor of Technology, Computer Science and Artificial Intelligence and Machine Learning

August 2022 - June 2026

CGPA: 7.88/10.00

Banyan International School, Jammu, J&K

CBSE Class XII

March 2022

76.5%

Banyan International School, Jammu, J&K

CBSE Class X

March 2020

87%

ARA Elementary School, Jeju, South Korea

TOPIK-1, Class 2nd-4th

March 2011 - March 2014

Skills

PythonMachine LearningArtificial IntelligenceDeep LearningAnalytical ThinkingData VisualizationResearchNatural Language ProcessingComputer VisionDBMSExcelPower BIProblem SolvingTensorFlow/KerasPyTorchOpenCVMediapipeScikit-learnPandasNumPyFlaskREST APIs

Projects

Super Resolution of Images

Trained and evaluated super-resolution models on the CIPHER-10 dataset to enhance low-resolution images with realistic detail. Achieved real-time super-resolution using OpenCV DNN and GPU acceleration, and implemented ESRGAN and Real-ESRGAN using PyTorch. Tools: SRGAN, TensorFlow/Keras, Python, Mediapipe, OpenCV.

ML for Web Services

Built intelligent web services integrating machine learning models to provide data-driven predictions and insights through APIs. Tools: Python, Flask, Scikit-learn, Pandas, NumPy, REST APIs.