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Gurubux Gill

@gurubuxgill

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Data Science Lead | 9+ yrs in AI/ML, MLOps, LLMs | Scalable AI, ML workflows, Explainable AI, Cloud

United Kingdom

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What I'm looking for

Seeking a leadership role in Data Science & AI to drive scalable AI solutions, LLMs, and MLOps. Passionate about optimizing ML workflows, explainable AI, and cloud strategies (AWS, Azure). Looking for a fast-paced, innovation-driven environment to build GenAI applications, enhance decision-making, and mentor teams.

I am an accomplished Data Science Lead with a strong background in AI/ML, cloud computing, and backend engineering. Over the past 9+ years, I have developed and deployed high-impact, scalable AI models that have optimized business workflows, enhanced predictive analytics, and driven cost-effective ML solutions.

Currently, at Health-Equity.ai, I lead end-to-end AI/ML projects, analyzing NHS and Census datasets to identify health inequalities. I specialize in LLM-powered solutions, optimizing GenAI pipelines with RAG, prompt engineering, and multi-modal models. Previously at Railofy, I scaled AWS ML models for travel predictions, boosting booking accuracy while automating data pipelines with ELK and Kibana.

My expertise spans Python, SQL, Streamlit, MLflow, Explainable AI (SHAP), LLMOps, AWS, Docker, and ElasticSearch, and I excel in tech-to-business storytelling, ensuring AI innovations translate into real-world value. With a passion for mentoring teams and building AI-driven products, I thrive in fast-paced, cross-functional environments that push the boundaries of machine learning and AI applications.

Experience

Work history, roles, and key accomplishments

Current

Data Science Lead

Current

Health-Equity.ai

Oct 2023 - Present (1 year 8 months)

Automated data ingestion, feature engineering, and ML modeling, boosting insights by 80% for NHS, Census data.
Built ICB-to-PCN-to-GP dashboards (Streamlit, Plotly) for BeiGene, Roche, NHS, WMUK, adding Explainability (SHAP).
Cut MLR review time by 40% with LLM-powered fact-checking (RAG, prompt engineering).
Optimized GenAI pipelines with LLM caching, AWS Textract, CI/CD.

Data Scientist

Railofy

Sep 2019 - Aug 2023 (3 years 11 months)

Built and deployed AWS ML models for ticket prediction, boosting efficiency by 50%, reducing failures, and improving booking accuracy.
Scaled ETL pipelines with ELK stack, cutting data retrieval by 90%, automating error detection, and minimizing downtime.
Built Kibana & Streamlit dashboards for real-time tracking, improving model accuracy by 5% per iteration.

Python Python Programming Python 3 Python Development Data Science Data Scientist ELK ELK Stack Docker SQL SQL Queries SQLAlchemy Recursive Feature Elimination

Senior Software Developer

LA Technologies PVT ltd

Jul 2018 - Feb 2019 (7 months)

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Developed Liferay-based customer portal for Adani Power (prev. Reliance Power), enabling online service access.
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Built portlets, hooks, APIs, and backend tools, while fixing production issues and improving system performance.

ELK ELK Stack Docker SQL SQLAlchemy Java Java Programming Java 8 Java EE JavaScript JavaScript Development SQL Queries SQL Development SQLite SQL Language MySQL PostgreSQL Liferay IDE Liferay Liferay Developer Studio

Senior Software Developer

Mindcraft Software PVT ltd

Feb 2016 - Jun 2018 (2 years 4 months)

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Built and customized Liferay portlets for internal (LoopIn) and client portals, streamlining user workflows, reducing turnaround times, and improving portal usability, while handling user requests and coordinating with design teams.
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Developed and enhanced libraries, applying full-stack development, database optimization, and system analysis skills.