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MLE - MLOps Engineer at Intellect AI, Building and scaling Purple Fabric | Ex-Data Scientist at @iNeuron-Pvt-Ltd
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Intellect AI
Data Scientist
June 20, 2026 – Present
continuous-training-pipeline-template
January 4, 2023 – February 6, 2023
continuous-training-pipeline-template — GitHub repository
View ProjectsendAutomatedEmail
October 15, 2022 – October 30, 2022
sendAutomatedEmail — GitHub repository
View ProjectDeep-Face-Authenticator
October 6, 2022 – December 30, 2022
This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.
View ProjectIndustry-Ready-Projects-Tasks
September 27, 2022 – September 30, 2022
Industry-Ready-Projects-Tasks — GitHub repository
View Projectsearch-engine-data-collection
September 7, 2022 – December 10, 2022
# This Repository Is for data collection for Embedding Based Search Engine
View Projectwafer-fault-serverless
August 5, 2022 – August 26, 2022
wafer-fault-serverless — GitHub repository
View Projectwafer-fault-kubernetes
April 16, 2022 – January 3, 2023
An end to end machine learning based microservices system which can be used to predict the failure of wafer sensors
View ProjectScania-Truck-Failure-Prediction-Azure
March 1, 2022 – March 4, 2022
Scania-Truck-Failure-Prediction-Azure — GitHub repository
View Projectphising-classifaction
January 23, 2022 – February 22, 2023
An end to end machine learning system with mlflow to predict whether a website is a phising website or not based on given set of indicators
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and MLOps. The variety of projects, including face authentication, phishing classification, and wafer fault prediction, shows a breadth of application interests. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to assess cultural fit beyond individual drive. The target role 'Data Scientist' aligns well with the technical focus of the projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication or work attitude.