AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit

Low Latency Trading Systems, Quadeye l Computer Science, IIT Kanpur 2024
Indian Institute of Technology Kanpur
Computer Science Lecturer
June 13, 2026 – Present
studious-java
February 22, 2023 – May 4, 2023
Inefficient JAVA compiler implementation in python
View Projectcs203-probabality-in-cs
April 22, 2022 – October 10, 2022
Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur
cs253-software-developemnt
March 31, 2022 – April 21, 2022
Assignment submissions of course CS253 at IIT Kanpur. Each assignment in seperate orphan branch.
View Projectchannel
March 12, 2022 – April 19, 2023
CS315 Course Project | Channel based chat app | Full stack | React, Go
View ProjectFilingAnalyzer-Backend
March 11, 2022 – March 26, 2022
Inter IIT Tech Meet Digital Alpha Challenge Backend & ML Repo
View ProjectSaaS-Analyzer
March 6, 2022 – March 24, 2022
Inter IIT Tech Meet 10.0 - Digital Alpha SEC Filing Analyzer for SaaS Companies
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating initiative and a learning mindset. The target role as a 'Computer Science Lecturer' at IIT Kanpur, where they also list their current experience, suggests a strong alignment with an academic and research-oriented culture. However, the experience level of 0 combined with a lecturer role is unusual and needs further investigation. The diversity of technologies used across projects indicates adaptability and a willingness to explore different domains, which could be beneficial in an academic setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and the target role is 'Computer Science Lecturer' at IIT Kanpur, which is also listed as their current experience. This discrepancy requires clarification. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.