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Software • Data • Pipelines • Machine Learning • AI

Building software, pipelines, and intelligent systems from messy real-world data.

I’m Hemang Sharma, a builder working across analytics, software engineering, data pipelines, machine learning, and AI, designing systems that turn complexity into reliable and measurable outcomes.

From production analytics and workflow automation to forecasting, OCR, NLP, dashboards, geospatial systems, and machine learning, I build technical systems that are useful, defensible, and deployable.

3 Universities
Academic background across UTS, UC Davis, and SRM Institute of Science and Technology.
Multi-role
Positioned across data analysis, software engineering, machine learning, AI, and analytics engineering.
End-to-end
From messy raw data and business logic to pipelines, dashboards, models, and production-ready systems.
Global profile
Work and education spanning Australia, the United States, and India with cross-domain technical experience.

Role Paths

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Experience

Built in real environments, not only side projects.

My work spans legal analytics, property, finance, software delivery, and technical problem-solving across messy operational datasets. I build systems that are structured, defensible, and usable in real decision-making contexts.

Professional Snapshot

From analytics to production-minded delivery

Across different roles and domains, I have worked on reporting systems, forecasting workflows, compliance analytics, dashboards, automation, and machine-learning-oriented problem solving with a focus on clarity and outcomes.

Worked across legal, property, finance, operational, and analytical environments.
Built Python, SQL, reporting, dashboard, and workflow automation solutions.
Comfortable translating ambiguous business problems into structured technical systems.
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Let’s Build

Open to meaningful software, data, and AI work.

I’m interested in opportunities where I can design reliable systems, build analytical depth, and turn complexity into measurable outcomes.