Machine Learning Engineer | Good in Deep learning, Linux, Python, Algorithms | NIT-BHOPAL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
manit
Frontend Developer
June 18, 2026 – Present
vehicle-service-platform
January 22, 2024 – January 22, 2024
vehicle-service-platform — GitHub repository
View Projectfreelance_project
August 10, 2023 – November 18, 2023
freelance_project — GitHub repository
View ProjectStock-Algorithm
May 18, 2021 – June 11, 2021
Backtesting data of previous years, In this we can see how shares are going up and down.
View ProjectEmail-Queue-Celery
May 18, 2021 – May 18, 2021
Mail Queue provides an easy and simple way to send email. Each email is saved and queued up either in real time or with Celery.
View ProjectLinear-Cutting
May 18, 2021 – May 18, 2021
The algorithm should check whether it is possible to place the maximum segment from the array of profile segments + gap on a segment of length equal to the length of the whip.
View ProjectProduct-Search
May 18, 2021 – December 15, 2022
Cover some models to add product and you can do a search based on project topic etc.
View ProjectFaceDetection
January 13, 2017 – February 11, 2017
Add facial recognition to your applications to detect, identify and verify faces using a Face API from Microsoft Azure. ... Detect human faces in images using face rectangles and face attributes ... Have a look at the other Cognitive Services APIs
View ProjectNIT-Bhopal-Result
December 25, 2016 – May 18, 2021
The student portal provides a single place for you to access all semester results of MANIT Students .. check your exam results!!
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse interest in various technologies (Python, Java, web technologies) and project types (AI, web applications, algorithms). This breadth suggests adaptability and a willingness to explore different domains. The personal projects indicate self-motivation and initiative, which are positive for cultural fit. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess team collaboration aspects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.