Top LLM Engineers

Experienced NLP Engineer and Python Developer specializing in LLMs | Open for Freelance/ Contract/ Full time Opportunities Recent graduate with a B.Tech in Artificial Intelligence & Machine Learning, leveraging cutting-edge technologies to solve complex problems in NLP and AI. My expertise includes: - LLM implementation and fine-tuning (Llama2, Mistral, Zephyr) - Retrieval Augmented Generation (RAG) - AI-driven document extraction and analysis - Cybersecurity threat detection using LLMs - Semantic search and QA chatbot development - Code generation using Agentic RAG Proven track record in diverse projects: - Optimized AI-driven document extraction systems at ImaginorLabs - Built cybersecurity threat detection apps using Langchain and Llama-index - Conducted NLP research on text similarity algorithms at Wayne State University - Developed spiritual data applications leveraging GPT and vector databases Passionate about continuous learning and applying AI to real-world challenges, seeking opportunities to innovate and push the boundaries of NLP and LLM technologies. Let's connect and explore how we can drive AI innovation together!

Junior majoring in Computer Science, interested in distributed systems and software infrastructure. I am seeking research and internship opportunities in the field. Any learning opportunities is appreciated. Contact: khoa.luong@case.edu

A first-principles software engineer specializing in developing highly scalable backend applications, and NLP systems utilizing large language models (LLM).

Innovative Software Engineer with experience designing and deploying scalable systems. Expertise in cloud infrastructure (AWS, Azure), AI-driven tools (Langchain, OpenAI models), and full-stack development (React, Spring). Passionate about leveraging cutting-edge technologies to solve complex problems and enhance user experience.

A dynamic and innovative AI/ML Computational Scientist with over 3+ years of experience, specializing in Generative AI, Deep Learning, and Computer Vision. Currently leading AI initiatives at Accenture AI, is proficient in developing and deploying advanced AI systems, including cutting-edge generative models,, and predictive modeling solutions. With a proven track record of implementing efficient AI pipelines and enhancing operational workflows, has consistently delivered high-impact, scalable solutions using Python, PyTorch, and HuggingFace. A passionate problem solver, has successfully designed multi-agent AI systems and advanced algorithms to address complex business challenges. From optimizing AI models for large-scale applications to pioneering the development of next-gen features and enhancements, thrives in cross-functional, innovative environments. With a hands-on approach to project execution, is committed to pushing the boundaries of AI and delivering breakthrough results.

I have over five years of experience in developing innovative AI-driven chatbot systems that enhance user experience before purchasing a product. I use Large Language Models (LLMs) with few-shot learning to extract data from input, KG reasoning to fetch relevant answers, and natural language generation to produce natural responses. I have also contributed to the deployment and commercialization of a Korean question answering system with CS Chatbot, using sentence transformers and graph-based knowledge enrichment models. I have received multiple awards for showcasing strong expertise in deep learning and TensorFlow, knowledge sharing, leadership qualities, and outstanding client outcomes. I am passionate about advancing the field of conversational AI and NLP, and applying them to real-world problems and solutions.

Software Professional with experience in building scalable back-end systems and distributed systems for enterprise customers TECHNICAL SKILLS ● Development: C#, C++, Python, Java, SQL, Hadoop, Spark, RESTful APIs, JSON, XML, Git ● Cloud Services: Pub Sub Services, dns, traffic manager, load balancer, SQL, Cloud Storage, Cloud Compute, Data Lakes, Observability and Alerting ● LLM: RAG, Fine Tuning, Prompt Engineering, Inferenceing

I'm passionate about applying the intersection of linguistic theories with machine-learning approaches to solve practical problems. As a NLP Master's student, I've recently found my interests in Conversational AI, and using Large Language Models (LLM) in designing and implementing applications. After graduating from the Master's program, my goal is to be able to be a NLP/Machine Learning Engineer who can understand and apply NLP and Machine Learning models and algorithms to provide meaningful insights to the development of AI-powered software!

I'm a Data Scientist and Software Engineer with a broad set of technical skills. I am eager to solve challenging problems and transform data into value.

Pioneering AI Agents, LLM finetuning; First author of multiple top AI conference papers in LLM.