
Risk Management Professional | AI & Automation | Ex-Software Developer bridging Technology & Risk I started my career as a Software Developer, working across th
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Goldman Sachs
Automation
June 14, 2026 – Present
hako-mind
April 5, 2026 – Present
It's a place to unbox your ideas and see how you can leverage AI tools to transform your idea into product for real world users
View ProjectRisk-Language-Bias-Detector
August 31, 2025 – August 31, 2025
An AI-powered app that scans vendor risk documents to detect biased or vague language, score overall risk bias, and generate follow-up questions.
View ProjectLux-PyLib
March 25, 2021 – March 25, 2021
We will be implementing Lux which is a Python library that makes data science easier by automating aspects of the data exploration process.
View ProjectReddit-Clone
March 17, 2021 – March 17, 2021
A reddit like application using spring boot and spring security. Frontend will be made using Angular 9
View ProjectDNA-Sequencing-using-K-mers
March 16, 2021 – March 16, 2021
Classification project based on K-mers algorithms that helps in genome sequencing
View ProjectSplitting-Data
September 16, 2020 – September 16, 2020
The train-test split procedure is used to estimate the performance of machine learning algorithms when they are used to make predictions on data not used to train the model.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a breadth of interest across AI/ML, web development (frontend and backend), and data science. However, the target role is 'Automation', and while some projects might involve automation aspects (e.g., AI-powered app), there's no explicit mention of automation frameworks, tools, or methodologies in the project descriptions or skills. The single professional experience listed is also 'Automation' at Goldman Sachs, but no details are provided regarding the nature of this role or the technologies used. This creates a gap in understanding the direct alignment with a dedicated automation role beyond the title.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.