LLM Post-Training & Generative AI Intern

Tushar Goel Location: Muzaffarnagar, Uttar Pradesh, India

LinkedIn / GitHub Email: **************@*****.*** Mobile: +91 - 904-***-**** PROFILE

B.Tech student specialized in Artificial Intelligence and Data Science from Engineering College Bikaner. I have a Strong foundation in Python Programming and Data Science Libraries. Proficient and experienced in Machine Learning and Generative AI. I also have a working experience as a LLM Post Training Intern at Ethara.AI . TECHNICAL SKILLS

Languages : Python, C and C++.

Libraries : NumPy, Pandas, Matplotlib, Scikit-learn and Seaborn. MachineLearning : Supervised and Unsupervised Learning, Regression, Classification, Prediction, Feature Engineering, Data Preprocessing and Model Evaluation

Generative AI : LangChain, Hugging Face, Prompt Engineering, GROQ API and LLM Applications Data Analysis : Data Cleaning, Exploratory Data Analysis (EDA) and Data Visualization. Platforms : Jupyter Notebook, VS Code, Pycharm, Spyder and Anaconda Navigator. EXPERIENCE

LLM Post Training Intern - Ethara.AI Gurugram [Jan 2026 – May 2026]

• Evaluated the large-scale Al models within a Human-in-the-loop (HITL) framework by performing Comparative Analysis and Error Categorization.

• Worked to enhance the Model Alignment, Accuracy and Reliability.

• Trained the Large Language Models.

Student Trainee - CDAC Noida [Jan 2023 – April 2023]

• Completed a certified training program BIG DATA TECHNOLOGIES.

• Learned about handling and processing Big Data using Data Science Tools and Libraries. EDUCATION

Bikaner Technical University Engineering College Bikaner - Bikaner, Rajasthan, India Bachelor of Technology in Artificial Intelligence and Data Science - 9.11 CGPA. 2022 – 2026 Kendriya Vidyalaya (CBSE) - Muzaffarnagar, Uttar Pradesh, India Class XII in Science - 82.8 Percentage. 2021 – 2022 PROJECTS

Project 1 - Chatbot using LangChain and GROQ API

• Developed an AI chatbot using LangChain and GROQ API key.

• Integrated it with Arxiv, Wikipedia and DuckDuckGoSearch for real-time information retrieval.

• Used streamlit for framework.

Project 2 - Bangalore House Price Prediction

• Developed a Linear Regression model.

• Performed the Data Preprocessing, Feature Engineering and EDA to predict the House Prices.

• Trained the Model with different Machine Learning Algorithms. CERTIFICATIONS

• Data Science, Machine Learning, DL and NLP Bootcamp.

• Generative AI Course with LangChain and Hugging Face.

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