AI/ML Expert
Kuldip P is AI/ML Expert with 8 years of experience in building production-grade AI solutions across NLP, computer vision, and deep learning. He has developed real-time chatbots, OCR pipelines, RAG-based assistants, and facial recognition systems. Proficient in PyTorch, TensorFlow, Hugging Face, and OpenAI, Kuldip translates complex business needs into scalable AI systems using modern development and deployment practices.
Designed and developed a Chrome extension for uploading academic PDFs and enabling conversational Q&A. Built FastAPI backend services for parsing documents, managing chat sessions, and integrating LLMs for intelligent responses. Implemented document chunking, embedding with Hugging Face models, and Retrieval-Augmented Generation (RAG) using ChromaDB for accurate, context-aware answers. Ensured system reliability, responsiveness, and scalability across research queries and document comparison workflows.
Designed and developed an intelligent conversational AI system for processing legal and enterprise documents. Enabled users to perform tasks such as summarization, named entity recognition (NER), clause detection, and law extraction from PDFs and images. Led backend development using NLP and LLM techniques, deployed the system for production use, and ensured robust performance across diverse document types with scalable, automated workflows.
Led the development of a face-based reverse image search system using computer vision and deep learning. Integrated InsightFace for high-precision face detection and embedding generation, and implemented FAISS with cosine similarity for efficient and accurate similarity search. Managed the complete pipeline from image input to ranked results and deployed the system with production-ready performance and ongoing client support.
LD College
Bachelor of Engineering in Computer Engineering
Spot Award
2025

Kuldip’s predictive maintenance model brought real value to our fleet management systems. His Remaining Useful Life (RUL) logic improved forecasting accuracy and helped reduce unexpected downtime. His technical rigor and practical mindset made him a trusted contributor throughout the project

Working with Kuldip on our document intelligence platform was an excellent experience. His ability to extract structured data from unstructured legal content using NLP was outstanding. The performance gains we achieved were a direct result of his expertise and diligence.

Kuldip built a highly effective research assistant chatbot using Retrieval-Augmented Generation (RAG). His deep understanding of LLMs and vector databases helped us create an intuitive and context-aware learning tool. He was proactive, efficient, and solution-oriented throughout development.

Kuldip led the core development of our facial recognition-based reverse image search engine. His integration of InsightFace and FAISS resulted in a fast, accurate, and scalable system. He’s a sharp engineer with a strong ability to deliver production-ready AI solutions.