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Aditya Mukhopadhyay
Bengaluru, India
I have ~14 years of experience with web application back-ends, browser front-ends, and cloud deployments. I work closely with my clients to understand their requirements, and offer advise on multiple aspects, considering: * business needs, * budgets for development, maintenance, infrastructure and operations, * resource availability for long-term support, and * any feasibility or policy-driven constraints.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
491.3
CodersRank Rank
Top 2%
Based on:
4 events
Highest experience points: 0 points,
0 activities in the last year
JavaScript
275.9
exp.
JSON
115.1
exp.
TypeScript
35.7
exp.
HTML
38.9
exp.
CSS
17.6
exp.
List your work history, including any contracts or internships
Stealth Mode Software Startup
Jan 2019 - Sep 2020 (1 year 8 months)
Founder, Creator of RecallGraph
Building a versioning data store for time-variant graph data. (https://github.com/RecallGraph/RecallGraph)
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.
RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics:
1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects).
2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other).
3. Past states of documents are as important as their present, necessitating retention and queryability of their change history.
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.
RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics:
1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects).
2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other).
3. Past states of documents are as important as their present, necessitating retention and queryability of their change history.
PayPal
Apr 2018 - Mar 2019 (11 months)
MTS - 1, Software Engineer
Self-Employed
Jun 2017 - Mar 2018 (9 months)
Consulting Web Developer
Add some compelling projects here to demonstrate your experience
RecallGraph
Jan 2019 - Present
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.
It is a Foxx Microservice for ArangoDB that features VCS-like semantics in many parts of its interface, and is backed by a transactional event tracker. It is currently being developed and tested on ArangoDB v3.5, with support for v3.6 in the pipeline.
It is a Foxx Microservice for ArangoDB that features VCS-like semantics in many parts of its interface, and is backed by a transactional event tracker. It is currently being developed and tested on ArangoDB v3.5, with support for v3.6 in the pipeline.
This section lets you add any degrees or diplomas you have earned.
University of London
Bachelor of Science - BS, Computer Science
Dec 2018 - Dec 2021
R Programming
Mar 2015
Exploratory Data Analysis
Aug 2016
The Data Scientist’s Toolbox
Feb 2015