Abhishek Singh

As an AI Trainer, I designed and tested complex prompts to challenge language models, identifying their limitations. I refined these prompts to improve the model's accuracy and reasoning capabilities, gaining hands-on experience in prompt engineering and model evaluation.

Engineered an advanced chatbot using LangChain and Google Generative AI, achieving a 90% user satisfaction rate. Implemented a FAISS vector database for efficient document retrieval and developed a custom embeddings pipeline for enhanced context understanding.

Developed a content-based movie recommendation engine using advanced NLP techniques, achieving 85% recommendation accuracy. Implemented feature engineering on movie metadata and created embeddings using TF-IDF vectorization for improved content matching.

Built an end-to-end NLP pipeline for real-time sentiment analysis with 87% accuracy. Implemented advanced text preprocessing and developed interactive dashboards for sentiment visualization and trend analysis.

As an AI Trainer, I designed and tested complex prompts to challenge language models, identifying limitations and refining prompts for accurate responses. This role involved hands-on experience in prompt engineering and model evaluation.

Developed various AI applications including a Multi-Mode AI Chatbot and an Intelligent Movie Recommendation System. Utilized advanced NLP techniques and machine learning frameworks to enhance user experience and recommendation accuracy.

Pursuing a Master of Technology in Information Security with a focus on advanced computer science principles and practices.

Completed a Bachelor of Technology in Computer Science and Engineering, gaining foundational knowledge in computer science and engineering principles.