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Keidera A M

@keideraam

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Senior ML Engineer with expertise in AI and machine learning solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects and contribute to a forward-thinking team.

I'm Kira Adams, a Senior ML Engineer with over six years of experience in designing and deploying innovative AI solutions across various sectors, including healthcare, finance, and e-commerce. My expertise lies in leveraging advanced technologies such as Python, TensorFlow, and PyTorch to create scalable, real-time systems that deliver tangible value. I have a proven track record of developing predictive models and optimizing performance through hyperparameter tuning, ensuring that the systems I build are not only functional but also impactful.

Throughout my career, I have successfully led projects that have significantly improved operational efficiency and user engagement. For instance, I architected a large-scale AI/ML system that reduced patient support call volumes by 40% through an NLP-based healthcare chatbot. My commitment to excellence is reflected in my ability to work cross-functionally, translating complex business needs into effective ML pipelines. I am passionate about continuous learning and staying at the forefront of AI advancements, which drives my dedication to delivering high-quality solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer – GenAI & LLM Systems

Current

MojoTech

May 2024 - Present (1 year 3 months)

Architected and deployed large-scale AI/ML systems across healthcare and complex platforms, with a focus on LLMs, Retrieval-Augmented Generation (RAG), and multimodal inference. Developed an NLP-based healthcare chatbot using Hugging Face Transformers and FastAPI for real-time scheduling and patient support, reducing custom volume by 40%.

LLMs)Retrieval Augmented Generation (RAG)fastAPI TensorFlow PyTorch Docker

Senior AI Engineer

Bridges Consulting

Nov 2022 - Apr 2024 (1 year 5 months)

Led the development of a smart navigation feature using TensorFlow and geospatial data, cutting average commute time by 15% and boosting user engagement. Designed a high-performance image preprocessing pipeline using OpenCV, NumPy, and custom filters (sharpening, denoising, edge detection), optimizing processing for over 1,500 daily active users in a document scanning solution.

TensorFlow Geospatial OpenCV NumPy Image Processing Docker fastAPI

Junior Machine Learning Engineer

Highbrow Technology

Mar 2020 - Oct 2022 (2 years 7 months)

Built a customer churn prediction model using logistic regression and decision trees with Scikit-learn, reducing churn by 12% during initial rollout by surfacing high-risk segments for retention teams. Developed automated preprocessing pipelines using Pandas and NumPy to clean and transform tabular customer data, improving model training speed and reducing manual errors.

TF IDF Logistic Regression Decision Trees scikit learn Pandas NumPy TFIDF Naïve Bayes TensorFlow

Machine Learning Developer

Systematic

Jul 2018 - Feb 2020 (1 year 7 months)

Engineered end-to-end data workflows and preprocessing pipelines to support machine learning experiments on both structured and unstructured datasets. Built and evaluated early-stage supervised models, gaining foundational expertise in NLP, model tuning, and performance optimization.

Workflows data preprocessing NLP Performance Optimization Data Annotation Quality Assurance