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A 21 year old, Computer Science undergrad.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Birla Institute of Technology & Science (BITS), Pilani
Computer Science Lecturer
June 13, 2026 – Present
splitwise-microservice
February 14, 2024 – February 16, 2024
Spring boot microservice for the splitwise application
View Projectquiz-app-microservice
January 22, 2024 – January 25, 2024
A microservice for a quizzing platform.
View ProjectMulti-Client-Server-Communication
April 26, 2023 – April 26, 2023
Networks labs assessment
View Projectvelocity
January 16, 2023 – January 17, 2023
A blazing fast bookmark saving cli application.
View Projectdotfiles
January 3, 2023 – April 6, 2024
My linux configuration for elementary OS and i3wm
View Projectnational-family-tree-generator
November 12, 2022 – December 14, 2023
An application to generate anyone's family tree using the statewise electoral rolls.
View Projectbits-wifi-logger
September 1, 2022 – January 2, 2023
Automatically connect to bits wifi without taking the hassle of entering your bits id and password everytime.
View Projectdigital_marketing_bot
June 5, 2022 – June 9, 2022
A web scraper to help scraping digital marketing companies from clutch.co
View ProjectStock-trader
August 7, 2021 – August 22, 2021
Best Virtual Stock Trainer with real-time US stock prices . Start with free $50,000. Cheers!
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, technical projects across various domains, which aligns with a research-oriented or academic environment. The target role is 'Computer Science Lecturer' at an institute where the candidate also has current experience. This suggests a potential good fit for an academic culture focused on technical exploration and teaching. However, the projects are predominantly personal and lack explicit team collaboration or mentorship aspects, which are crucial for a lecturer role. The breadth of technologies used (Dart, HTML, Swift, Kotlin, Objective C, C++, Makefile, Python, Shell, Java, Dockerfile, Rust, Go, Roff, Ruby, JavaScript) indicates adaptability and a willingness to learn diverse tools, which is beneficial for teaching various subjects.
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 style or work attitude.