Exploring the frontiers of AI and Machine Learning with a focus on Reinforcement Learning applications, Neural Networks, and innovative solutions for real-world problems.
My research work spans various domains in AI and ML, with a special focus on Reinforcement Learning applications, transformer models, and multi-modal AI systems. I've contributed to papers on language models optimization, patent processing with AI, and ethical considerations in AI deployment.
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Explore how reinforcement learning algorithms can be applied to determine optimal pricing strategies for customers in real-time, maximizing both customer satisfaction and business revenue.
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A deep dive into how reinforcement learning is transforming artificial intelligence, creating systems that can learn, adapt, and make decisions in complex environments.
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An analysis of how DeepSeek, a Chinese AI startup, utilized innovative reinforcement learning techniques to create models that outperform OpenAI's in certain metrics.
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A comprehensive overview of key reinforcement learning algorithms and their practical applications across various industries, from robotics to finance.
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My 3-month internship experience at ElectroGlobal Inc, a government-funded startup, where I worked on implementing machine learning solutions for IoT projects.
Read on MediumI'm constantly exploring and expanding my knowledge in the following areas. If you're interested in any of these topics, I'm always open to discussions, collaborations, and knowledge exchange.
I'm working on several open-source projects and would appreciate contributions, feedback, and collaborations. Let's build amazing AI solutions together!
Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Streamlit deployment.
AI tool that generates an audio short story based on the context of an uploaded image by prompting a GenAI LLM model.
Step-by-Step Guide to Building a RAG LLM App with LLamA2 and LLaMAindex for effective retrieval-augmented generation.
Project optimizing the recruitment process by integrating an advanced Applicant Tracking System with Google Gemini Pro.
Application that facilitates the conversion of natural language queries into SQL commands and enables querying SQL databases.
Tools and techniques for fine-tuning the LLAMA 2 language model with custom datasets using LoRA and QLoRA methods.