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I am a seasoned AI and Machine Learning Engineer with over 10 years of experience in researching, designing, and deploying advanced Deep Learning, NLP, and generative AI algorithms using Python. I have extensive expertise in integrating AI technologies with robust data pipelines, cloud infrastructure, and DevOps practices to deliver scalable, efficient, and impactful AI-driven applications. Throughout my career, I have mastered working with large language models, prompt engineering, fine-tuning, and evaluation techniques. I thrive in dynamic environments, collaborating cross-functionally to build innovative AI solutions that improve user experience, business outcomes, and product performance. I am passionate about staying at the forefront of AI research and applying my strong mathematical and technical background to solve complex challenges.…I am a seasoned AI and Machine Learning Engineer with over 10 years of experience in researching, designing, and deploying advanced Deep Learning, NLP, and generative AI algorithms using Python. I have extensive expertise in integrating AI technologies with robust data pipelines, cloud infrastructure, and DevOps practices to deliver scalable, efficient, and impactful AI-driven applications. Throughout my career, I have mastered working with large language models, prompt engineering, fine-tuning, and evaluation techniques. I thrive in dynamic environments, collaborating cross-functionally to build innovative AI solutions that improve user experience, business outcomes, and product performance. I am passionate about staying at the forefront of AI research and applying my strong mathematical and technical background to solve complex challenges.

James Finley

AI Developer, Developer, AI Engineer, +1

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I am a seasoned AI and Machine Learning Engineer with over 10 years of experience in researching, designing, and deploying advanced Deep Learning, NLP, and generative AI algorithms using Python. I have extensive expertise in integrating AI technologies with robust data pipelines, cloud infrastructure, and DevOps practices to deliver scalable, efficient, and impactful AI-driven applications. Throughout my career, I have mastered working with large language models, prompt engineering, fine-tuning, and evaluation techniques. I thrive in dynamic environments, collaborating cross-functionally to build innovative AI solutions that improve user experience, business outcomes, and product performance. I am passionate about staying at the forefront of AI research and applying my strong mathematical and technical background to solve complex challenges.…I am a seasoned AI and Machine Learning Engineer with over 10 years of experience in researching, designing, and deploying advanced Deep Learning, NLP, and generative AI algorithms using Python. I have extensive expertise in integrating AI technologies with robust data pipelines, cloud infrastructure, and DevOps practices to deliver scalable, efficient, and impactful AI-driven applications. Throughout my career, I have mastered working with large language models, prompt engineering, fine-tuning, and evaluation techniques. I thrive in dynamic environments, collaborating cross-functionally to build innovative AI solutions that improve user experience, business outcomes, and product performance. I am passionate about staying at the forefront of AI research and applying my strong mathematical and technical background to solve complex challenges.

Available to hire

I am a seasoned AI and Machine Learning Engineer with over 10 years of experience in researching, designing, and deploying advanced Deep Learning, NLP, and generative AI algorithms using Python. I have extensive expertise in integrating AI technologies with robust data pipelines, cloud infrastructure, and DevOps practices to deliver scalable, efficient, and impactful AI-driven applications.

Throughout my career, I have mastered working with large language models, prompt engineering, fine-tuning, and evaluation techniques. I thrive in dynamic environments, collaborating cross-functionally to build innovative AI solutions that improve user experience, business outcomes, and product performance. I am passionate about staying at the forefront of AI research and applying my strong mathematical and technical background to solve complex challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior ML engineer at CognitiveScale

June 30, 2025 - July 18, 2025

Designed, developed, and deployed AI-driven applications using Django, React, Langchain, and LangGraph, incorporating LLMs, RAG, and generative AI for solutions such as recommendation engines, text-to-image generation, and trading predictions within Agile development cycles. Architected and optimized VectorDB- and Elasticsearch-powered retrieval systems with hybrid search techniques, improving information discovery and recommendation relevance. Developed scalable microservices-based back-end systems using FastAPI, SQLAlchemy, NumPy, and Pandas, integrated Snowflake for data warehousing and analytics. Led product feature design and launch collaborating across teams to align with user needs and strategic goals. Applied data analytics to assess user behavior, driving increased engagement and retention. Fine-tuned LLMs with parameter-efficient techniques like LoRA and QLoRA, and conducted systematic evaluations using benchmarking and human feedback. Built and deployed end-to-end ML pipelin

Machine learning engineer at Databricks

February 28, 2021 - July 18, 2025

Developed and deployed AI models for text generation and sentiment analysis, improving content production efficiency by 30%. Expert in advanced deep learning architectures such as Transformer, ViT, ConvNext with expertise in multimodal learning. Built and optimized AI models combining text, image, and structured data inputs to enhance adaptability. Integrated NLP pipelines with real-time data processing using Apache Kafka and Apache Spark for low-latency predictions. Deployed models via AWS SageMaker, EC2, and Lambda to improve scalability and reliability. Designed data pipelines using AWS Glue and Databricks, accelerating feature engineering and cutting model training time by half. Applied quantization, pruning, and distillation techniques to optimize inference latency without sacrificing accuracy.

AI Developer at SoftTeco

February 28, 2019 - July 18, 2025

Specialized in neural networks including CNNs, RNNs, GANs, and LSTM; data preprocessing; feature extraction; and model evaluation. Developed and deployed machine learning models for regression and classification tasks using algorithms such as XGBoost, Random Forest, and K-Nearest Neighbors. Proficient in Python and libraries like Scikit-learn, Pandas, Numpy, Keras, PyTorch, TensorFlow, NLTK, SpaCy, PIL/Pillow, OpenCV, and FFmpeg for deep learning and NLP projects. Experienced with numerical programming in C/C++ and CUDA for Nvidia GPU optimizations. Strong Git expertise for version control and workflow management.

Python developer at Interexy

May 31, 2017 - July 18, 2025

Designed and developed responsive web applications using React and Django ensuring cross-browser compatibility and user-friendly interfaces. Implemented frontend components with React.js, Angular, and TailwindCSS. Built and maintained GraphQL APIs and integrated Swing UI components for internal tools. Worked with SQL and NoSQL databases such as PostgreSQL, MongoDB, and MySQL. Collaborated with DevOps team to set up CI/CD pipelines using Jenkins, Docker, and Kubernetes, achieving 60% faster deployments. Applied foundational machine learning techniques including linear regression, decision trees, and clustering for predictive analytics and data-driven decision-making.

Senior ML Engineer at CognitiveScale

June 1, 2025 - August 26, 2025

Led design, development, and deployment of AI-driven applications leveraging Django, React, Langchain, and LangGraph. Architected and optimized retrieval systems using VectorDB and Elasticsearch, improving information discovery and search accuracy. Developed scalable microservices back-end with FastAPI, SQLAlchemy, and integrated Snowflake for analytics. Collaborated cross-functionally to launch new product features aligned with strategic goals. Fine-tuned and evaluated LLMs using LoRA and QLoRA methods. Built end-to-end ML pipelines on GCP, adopting MLOps best practices with Jenkins, Docker, Kubernetes, and Terraform. Applied generative AI and prompt engineering to improve NLP and automate workflows. Actively communicated technical concepts to stakeholders and nurtured a growth mindset in fast-paced startup environments.

Machine Learning Engineer at Databricks

February 1, 2021 - August 26, 2025

Developed and deployed AI models for text generation and sentiment analysis, boosting content production efficiency by 30%. Built multimodal AI models integrating text, image, and structured data to enhance adaptability. Integrated NLP pipelines with real-time data processing using Apache Kafka and Apache Spark. Deployed scalable models with AWS SageMaker, EC2, and Lambda. Designed efficient data pipelines with AWS Glue and Databricks, reducing training time by 50%. Optimized model performance using quantization, pruning, and distillation techniques to minimize inference latency while maintaining accuracy.

AI Developer at SoftTeco

February 1, 2019 - August 26, 2025

Specialized in neural networks such as CNNs, RNNs, GANs, and LSTM models. Managed large-scale data processing and generated actionable insights. Developed machine learning models for regression and classification tasks using algorithms including XGBoost, Random Forest, and KNN. Proficient in Python deep learning and NLP libraries such as Scikit-learn, Pandas, Numpy, Keras, PyTorch, TensorFlow, NLTK, and SpaCy. Utilized C/C++ and CUDA for GPU performance optimization. Applied advanced version control using Git.

Python Developer at Interexy

May 1, 2017 - August 26, 2025

Designed and developed responsive web applications with React and Django, focusing on cross-browser compatibility and usability. Implemented frontend components using React.js, Angular, and TailwindCSS. Managed SQL and NoSQL databases such as PostgreSQL, MongoDB, and MySQL. Collaborated closely with DevOps for CI/CD pipeline setup using Jenkins, Docker, and Kubernetes, achieving 60% faster deployment cycles. Applied fundamental machine learning techniques including regression, decision trees, and clustering for predictive analytics and data preprocessing with Pandas and Scikit-learn.