Top Fine-Tuning Engineers

I possess a solid mathematical and computer science background as well as a strong programming knowledge and experience with variety of programming languages and storage engines. Highly motivated individual with a passion for performance and simplicity. A person, who is not afraid to be thrown into uncharted waters and constantly finds himself doing so: starting with just an idea and no prior knowledge of a subject and finishing with a deep understanding of the problem. --- Information for recruiters --- Thank you very much for checking my profile. I already have a good job in a nice team, so if you are contacting me, please include the following information: - information about the position I am being considered for. I am a software/ML engineer, so if the position does not require the actual ML work (making an API call to a model does not count) then it is not a good fit for me. - approximate total compensation for the position.

Leading ML for Confluence AI Working on initiatives spanning discovery, consumption and creation aspects of the Confluence user experience. Topics of interest: NLP, Retrieval, Ranking, Search & Recommendations, agents

I am an AI/ML Engineer with 11+ years of hands-on experience designing, developing, and deploying end-to-end machine learning and data-driven solutions across cloud platforms including GCP, AWS, and Azure. My work spans traditional machine learning, deep learning, NLP, Generative AI, LLM fine-tuning, RAG systems, and MLOps.I have practical experience building AI systems on Vertex AI, BigQuery, Dataflow, Cloud Functions, SageMaker, Databricks, and Azure ML. My background includes developing predictive models, NLP pipelines using BERT, GPT, SpaCy, NLTK, sentiment analysis, topic modeling, and advanced deep learning architectures such as CNNs, RNNs, LSTMs, and Transformers. I have also built large-scale ETL pipelines, streaming workflows, and data processing systems using Spark, Kafka, Hadoop, and Airflow.My skills include model deployment with Docker, Kubernetes, TensorFlow Serving, and TorchServe; orchestrating ML workflows with MLflow, CI/CD, and MLOps best practices; and integrating vector databases like FAISS, Pinecone, and ChromaDB for semantic search and retrieval. I have experience working with SQL, NoSQL, graph databases, and data modeling techniques including Dimensional and Snowflake schema modeling.I also have strong experience in Generative AI, including LLM fine-tuning (LoRA/QLoRA/PEFT), prompt engineering, multimodal AI, RAG frameworks, and building agentic AI systems. My work emphasizes scalability, reliability, cloud-native engineering, and responsible AI practices across all deployments.

With over seven years of experience in machine learning and data science, currently contributing to advanced Generative AI platform development at RingCentral.

Personalization | Computer Vision | Deep Learning | Statistical Learning Theory

I'm using Deep Reinforcement Learning to solve real-world robotics problems.Interests:Reinforcement Learning, Machine Learning, Software Engineering

Thanks for visiting my profile. Having 5 years of overall experience, I currently work as an AI Engineer solving Computer Vision and NLP problems in Automotive, Retail and Supply Chain Industries. My skillset includes expertise in programming languages such as Python and experience with popular deep learning libraries such as PyTorch. I also have a strong understanding of MLOps with Kubeflow and mlflow, which allows me to effectively design, build, and maintain scalable, highly available, and robust AI products. In addition, I am also experimenting with the Deep learning models on Edge devices like Nvidia Jetson/Google Tensor for on-device inferencing.

Machine Learning Research & Development

Greetings, I'm PRADEEP J, an IT engineer/Fresher focused on ML engineer/Data scientist. I bring knowledge in Deep Learning ,Machine Learning, LLM, SQL, R, and Python. Experienced AI/ML Engineer with expertise in image segmentation, classification, data analysis and LLM . Well-acquainted with version control systems like Git, my objective is to engineer high-quality applications that emphasize security, reliability, and a seamless user experience.