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razorpay
Software Engineer
June 15, 2026 – Present
Non-photorealistic-Speedlines
January 29, 2018 – January 29, 2018
We present an experimental algorithm to summarize motion of multiple objects in a short video into a single image. This depiction of this motion path is done with the help of speedlines. This reduces the amount of data, as compared to storing an image that conveys the same information as a video.By tracking the edges of the moving objects in the frames,we attempt to draw the motion lines at their rear edges. With the help of some techniques mentioned in existing literature, we detect the rear edges across multiple frames and record their paths. With these coordinates speed-lines are built as a straight-line or curved path. We also look at the applications for such a method and also provide results of our experiments along with some ideas for future applications.
View ProjectMobile-Distributed-File-System-DFS2
November 6, 2017 – November 6, 2017
Mobile-Distributed-File-System-DFS2 — GitHub repository
View ProjectFortify-X10
June 16, 2017 – July 6, 2017
Implementing Parallel Programming Abstraction of Fortress in X10
View ProjectFortify-XTend
May 24, 2017 – June 6, 2017
Implementing parallelism abstractions from Fortress into Xtend
View ProjectInformation-Inference-and-Learning
January 22, 2017 – January 22, 2017
Classroom assignments for Information Theory, Inference and Learning
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research focus, with several personal projects exploring advanced computer science topics like distributed file systems, parallel programming, and information theory. However, the projects are primarily academic/personal and lack clear real-world impact or team collaboration aspects. The target role is 'Data Scientist', and while there are Python projects, the direct relevance to core data science skills (e.g., machine learning, statistical modeling, data engineering pipelines) is not explicitly demonstrated. The current role as 'Software Engineer' at Razorpay is a positive, but without details, its alignment with data science is unclear. The diversity of technologies (Go, Neo4J, Python, Matlab, Java, X10, Xtend) indicates a broad interest but also a potential lack of deep specialization in data science specific tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.