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Maleck User

@maleckuser

Machine Learning Engineer and Generative AI specialist building enterprise NLP/LLM systems with strong MLOps and production focus.

United States

Message

What I'm looking for

I’m looking to build and deploy enterprise-grade ML and LLM solutions—hands-on with MLOps, monitoring, and evaluation—where I can design reliable pipelines, ship GenAI applications, and continuously improve model performance in production.

I’m a Machine Learning Engineer with 12+ years of experience designing enterprise-grade ML, NLP, and AI systems, specializing in Generative AI and LLMs (post-2022). I build end-to-end solutions with a strong MLOps foundation, focusing on monitoring, governance, and production reliability.

As a Lead Machine Learning Engineer & GenAI Architect at Uptake Technologies, I’ve deployed enterprise AutoML and GenAI workflows, built LLM-powered applications using GPT, LangChain, and RAG pipelines, and engineered real-time ML pipelines with Kafka and Spark. Earlier, I developed NLP systems (text classification, semantic search), worked on early transformer-based models (BERT, T5), and delivered forecasting using LSTM, Prophet, and LightGBM—along with scalable data pipelines, validation, and preprocessing for NLP and deep learning.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Uptake Technologies

May 2022 - Present (4 years)

Led deployment of enterprise AutoML and GenAI workflows; built GPT-powered applications using LangChain and RAG pipelines and delivered end-to-end ML pipelines with monitoring and governance. Implemented real-time pipelines with Kafka and Spark and improved LLM performance via prompt engineering and evaluation, backed by SHAP/Prometheus/Grafana dashboards.

Generative AI GPT Lang Chain RAG Prompt Engineering LLM Evaluation Kafka Spark SHAP Grafana

Senior Machine Learning Engineer

Hive

Feb 2019 - Apr 2022 (3 years 2 months)

Built ML microservices using Docker and cloud platforms (AWS/Azure), later adopting Kubernetes for scalability. Developed NLP systems for text classification and semantic search, worked on transformer-based models (BERT/T5), and delivered document processing, information extraction, and forecasting using LSTM/Prophet/LightGBM.

NLP Semantic Search BERT Docker Kubernetes AWS Azure Forecasting

Machine Learning Engineer

Dataiku

Jul 2016 - Jan 2019 (2 years 6 months)

Created data annotation and preprocessing workflows for NLP and CV datasets and built quality-control pipelines to achieve high accuracy. Developed dashboards and validation pipelines to support reliable ML training and assessment.

Data Annotation data preprocessing NLP Computer Vision Data Quality Dashboards Data Validation Dataiku

Machine Learning Engineer

Abacus.AI

Jan 2013 - Jun 2016 (3 years 5 months)

Built large-scale data pipelines for machine learning and deep learning, including dataset validation and preprocessing systems. Supported machine learning model development and basic deep learning experimentation to advance production-ready workflows.