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Computer Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
staging_mousetrap
October 18, 2024 – March 24, 2025
staging_mousetrap — GitHub repository
View ProjectMachineLearningCoursera
April 22, 2020 – April 22, 2020
Codes for the weekly exercises for Machine Learning course by Stanaford in Coursera
View Projectshiny-bot-pokemon
April 16, 2019 – July 25, 2021
Python script that automates Shiny Hunting of Pokemon in DS/ GBA emulators
View Projectautomated-psych
March 20, 2019 – March 20, 2019
Automated Psychiatrist which takes facial emotional inputs using emotion classifier and text sentiment analysis using chatbot
View ProjectDawn
January 8, 2019 – June 25, 2020
Starter pack for Machine Learning and related fields, an initiative by the members of ACM-VIT student chapter. The repo contains learning concepts and insights on ML and AI
View ProjectDaedalus
January 8, 2019 – February 7, 2019
Collection of learning projects done by Research & Development team of ACM-VIT student chapter. Projects focus mainly on the fields of Machine Learning and AI.
View ProjectWeb-Scraping-and-optimization-using-parallel-approach
December 4, 2018 – January 8, 2019
Using Python to scrape content, and also parallelise it using preprocessing
View Projectface_recog
September 13, 2018 – September 17, 2018
Facial recognition of an individual from an image
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous learning. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit for collaborative environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed initiatives.