I am an AI/ML Engineer with over three years of experience building intelligent, production-oriented applications. My work focuses on NLP-driven chatbots, virtual assistants, document automation, recommendation systems, and speech-to-text solutions.
I specialize in Python-based AI development and have hands-on experience with OpenAI, LangChain, LangGraph, RAG, prompt engineering, and large language models. I build scalable AI workflows that turn unstructured documents, emails, and user interactions into useful automated outcomes.
I have developed solutions using Azure AI services, FastAPI, Flask, PostgreSQL, MySQL, and vector search technologies. My experience includes integrating LLMs with backend systems, building APIs, and deploying applications for real-world business use cases.
I am experienced in machine learning, deep learning, computer vision, NLP, data preprocessing, feature engineering, and model evaluation. I have worked with TensorFlow, Keras, PyTorch, Scikit-learn, NumPy, and Pandas to develop and train AI models.
I enjoy solving practical automation problems through Generative AI and continuously expanding my knowledge in data science and artificial intelligence. I am currently pursuing an Executive PG in Data Science and Artificial Intelligence at IIT Roorkee.
Built an intelligent e-commerce recommendation system using graph neural networks, LangGraph, and LLMs to provide real-time personalized product recommendations and improve user engagement.
Developed a document scanner and question-answering chatbot using vision-capable LLMs to analyze charts, graphs, diagrams, images, and tables. Worked with Python, FastAPI, LangChain, LangGraph, PostgreSQL, pgvector, and LLM technologies.
Developed an AI email chatbot integrating OpenAI and LangChain with prompt engineering and RAG, automating customer-query handling with an 85% resolution success rate.
Built an AI document parser for extracting data from forms and PDFs and integrated it with an automated form-filling system, reducing manual effort by 60%. Also created an intelligent file-compression system that selected compression algorithms based on file characteristics, improving efficiency by 25%.
Developed website-integrated chatbots using Azure and OpenAI, applying zero-shot and few-shot prompt engineering. Built speech-to-text, voice assistant, and virtual assistant capabilities for Android applications using Azure Cognitive Services.
Designed RAG and LangChain automation workflows for unstructured documents and emails. Developed frontend and backend systems with Python, Flask, HTML, JavaScript, and SQL, deployed scalable applications using Flask-SocketIO and MySQL, and managed collaboration through GitHub and GitLab.
Developed responsive websites using HTML, CSS, and Bootstrap. Optimized and pre-processed datasets for classification model training and performed feature engineering with NumPy, Pandas, and Seaborn.
Trained and evaluated machine learning models and built neural-network models with TensorFlow and Keras for computer vision applications. Worked with Python, Flask, LangChain, MySQL, and OpenAI APIs.
Executive PG, Data Science and Artificial Intelligence
Pursuing an Executive Postgraduate program in Data Science and Artificial Intelligence.
Diploma, Data Science and Artificial Intelligence
Completed Diploma in Data Science and Artificial Intelligence with a GPA of 9.4/10.
Bachelor of Technology (B.Tech.), Computer Science and Engineering
Completed Bachelor of Technology in Computer Science and Engineering with a GPA of 6.28/10.
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