Jatin Dhanda
AI Engineer
Yamunanagar
Summary
AI Engineer with hands-on experience in Machine Learning, Deep Learning, NLP, and Large Language Models (LLMs). Skilled in building end-to-end AI applications including RAG-based systems, multimodal AI assistants, and NLP classification models with high accuracy. Experienced with Python, HuggingFace, LangChain, LlamaIndex, FAISS, and model deployment using Streamlit and Gradio. Passionate about developing scalable AI solutions and seeking an internship opportunity to contribute to real-world AI products. Talented professional ready to bring hardworking mentality to Trainee position. Driven to learn position inside and out to maximize contributions and support business and customer objectives. Outstanding organizational skills and knowledge of [Software].
Overview
3
3
Certifications
Work History
Trainee
ToXSL Technologies
06.2025 - 09.2025
ToXSL Technologies
- Completed industry-focused training in AI, ML, Deep Learning, NLP, and LLM-based systems.
- Designed and implemented real-world AI projects including NLP classifiers and LLM-powered applications.
- Built Retrieval-Augmented Generation (RAG) systems using LangChain, and LLaMA models.
- Applied computer vision techniques for image-based AI tasks.
- Improved model accuracy and optimized performance through hyperparameter tuning and evaluation techniques.
Education
Bachelor of Science - Computer Science
Himalayan Institutes of Technology
Kala Amb, India 04.2001 -
Skills
Programming Languages
Python
Machine Learning & Deep Learning
Supervised & Unsupervised Learning, Model Evaluation, Feature Engineering, Neural Networks, CNN, RNN, LSTM, Transfer Learning
Natural Language Processing (NLP)
Text Classification, Tokenization, Sequence Modeling, Sentiment Analysis, Named Entity Recognition (NER)
Large Language Models (LLMs) & Generative AI
Prompt Engineering, Retrieval-Augmented Generation (RAG), Fine-tuning Basics, Embeddings, HuggingFace Transformers, LLaMA Models
Frameworks & Libraries
PyTorch, TensorFlow, Scikit-learn, HuggingFace, LangChain, LlamaIndex, OpenCV, Pandas, NumPy
Vector Databases
FAISS, Embedding Models,ChromaDB
AI Application Development
Streamlit, Gradio, REST APIs (Basic), Model Deployment (Basic)
Data Analysis & Visualization
Data Cleaning, Exploratory Data Analysis (EDA), Matplotlib, Seaborn
Tools & Platforms
Git, GitHub, Jupyter Notebook, Google Colab
AI & Machine Learning Projects
LLM-Powered RAG Web Chatbot Using FAISS and LangChain
Deep Learning-Based Fake News Detection System (97% Accuracy)
- Developed an NLP-based text classification system using LSTM networks to detect fake news articles.
- Performed text preprocessing, tokenization, and sequence modeling to improve prediction performance.
- Achieved 97% accuracy through hyperparameter tuning and model optimization using TensorFlow/PyTorch.
Multimodal AI medical Assistant with LLM , Voice & Vision Integration
- Built an end-to-end multimodal AI assistant integrating text, voice, and image inputs using LLMs.
- Implemented RAG pipeline with vector database (FAISS) for context-aware medical responses.
- Integrated speech-to-text and text-to-speech modules; deployed interactive interface using Gradio.
- Developed a Retrieval-Augmented Generation (RAG) application to answer queries directly from website content.
- Implemented document chunking, embedding generation, and similarity search using FAISS.
- Integrated LLaMA model via HuggingFace with LangChain for context-aware responses; deployed with Streamlit.
Certification
AI & LLM Industrial Training Certificate – ToXSL Technologies Hands-on training in Python, Machine Learning, Deep Learning, NLP, Computer Vision, and LLM-based systems
Timeline
Trainee
ToXSL Technologies
06.2025 - 09.2025
Bachelor of Science - Computer Science
Himalayan Institutes of Technology
04.2001 -