As a fervent AI Engineer, I bring a robust foundation in crafting and honing Large Language Models (LLMs), coupled with proficient software development skills in Python. My recent work includes developing VoiceTex, an innovative AI-powered application designed to revolutionize LaTeX document creation through advanced speech recognition and natural language processing. Collaborating with a talented team, I successfully integrated state-of-the-art language models like GPT-4o to enable effortless voice input for generating high-quality LaTeX documents. I am deeply committed to fostering diversity, equity, and inclusion within the tech sphere. My professional toolkit is complemented by sharp analytical abilities, adept problem-solving capabilities, and articulate communication skills, all of which I leverage to drive innovation and excellence in the field of artificial intelligence.
Programming: Python, C
Machine Learning and Deep Learning: Supervised and unsupervised learning, neural networks, CNNs, RNNs, reinforcement learning
Mathematics and Statistics: Linear algebra, calculus, probability theory, statistics
Data Handling and Preprocessing: Pandas, NumPy, scikit-learn
Model Evaluation and Validation: Cross-validation, confusion matrices, ROC curves
Data Visualization: Matplotlib, Seaborn, Plotly
NLP and Computer Vision: Text classification, sentiment analysis, image classification, object detection
Reproducibility and Version Control: Git
Software Development Practices: Code modularity, documentation, testing, debugging
Problem-Solving Skills: Formulating real-world problems, devising creative solutions
Communication Skills: Technical and non-technical stakeholder engagement
Continuous Learning: Keeping abreast of the latest AI research and technologies
Creator and manager of a YouTube channel named as Neural Nook.
VoiceTex: AI-Powered LaTeX Generation, Developed an innovative AI-powered application aimed at revolutionizing the creation of LaTeX-based documents. Collaborated with a talented team to integrate advanced technologies, including speech recognition and natural language processing, enabling users to effortlessly generate high-quality LaTeX documents through voice input. Key features included code block detection, page numbering, and seamless integration with state-of-the-art language models like GPT-4o.
Knowledge Retriever: This was my personal project(before GPT-4o was Iaunched) where I could upload books on any size and I had to give a topic as input and couId ask for any of the 3 types of outputs i.e (1)extract each sentence wherever the word was found within the book (2)generate a summary of 'what does the book say about this topic?' (3)extract sentences and generate summary
Teachers OntoIogy: In this project we created an ontoIogy.We were given some resumes of teachers and based on the requirements of students we were retrieving best suitable teacher for that particular student(via queries).
Resume Generator: Based on the information provided by the user we were able to generate properly formatted and downloadabIe resume.
1) Generative AI by ineuron.ai(freecodecamp)
2) Virtualization and containerization concepts by Datacamp
3) Generative AI concepts
4) Working with OpenAI API
5) ChatGPT Prompt Engineering for Developers by DeepLearning.ai
6) Building Generative AI Applications with Gradio by DeepLearning.ai
7)Building Multimodal Search and RAG by DeepLearning.ai