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Jute Malik

@jutemalik

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Senior Machine Learning Engineer with expertise in AI and data science.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and continuous learning in AI and machine learning.

I am a Senior Machine Learning Engineer with over 10 years of experience in building scalable, intelligent systems that enhance decision-making, automation, and personalization. My expertise lies in statistical modeling, LLMs, and NLP pipelines, with a strong focus on deploying machine learning systems across fintech, healthcare, and SaaS sectors.

Throughout my career, I have successfully led the design and deployment of ML pipelines, fine-tuned open-source LLMs, and developed real-time anomaly detection systems. I take pride in mentoring engineers and shaping ML system architecture, ensuring that complex business problems are translated into robust machine learning solutions using modern AI frameworks and big data technologies.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Klarity Labs

Jan 2021 - Present (4 years 7 months)

Led the design and deployment of ML pipelines, automating document workflows using OCR and NLP with spaCy, Tesseract, and transformer models. Fine-tuned open-source LLMs (GPT-J, Mistral, Claude) for domain-specific summarization and contextual Q&A features.

NLP SpaCy Tesseract Fine Tuned LLMs MLFlow Airflow Kubernetes Anomaly Detection

Senior Data Scientist / AI Consultant

CognitiveScale

Jul 2018 - Present (7 years 1 month)

Engineered machine learning models for credit scoring, boosting loan approval accuracy for a major US bank. Delivered churn prediction and marketing segmentation systems using clustering, uplift modeling, and customer behavior analytics.

Machine Learning Credit Scoring Churn Modeling Market Segmentation Clustering Uplift Models LIME SHAP Kafka

Lead Data Engineer & Scientist

WellHealth AI

Mar 2015 - Present (10 years 5 months)

Designed and maintained data ingestion pipelines for multi-source EHR and claims data. Built and trained deep learning models (LSTMs, CNNs) to predict patient readmission risks.

Data Ingestion EHR Claims Deep Learning CNN NLP Flask Dash

Full Stack Engineer / Data Analyst

Finera Capital

Jan 2012 - Present (13 years 7 months)

Built analytics dashboards using Node.js and D3.js to visualize investment portfolio metrics. Developed and maintained time series models (ARIMA, Prophet, GARCH) for asset forecasting.