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Nilaksh Agarwal
New York City, United States
I have experience with Machine Learning, Computer Vision, Natural Language Processing, Operating Systems, and Computer Graphics across multiple languages and frameworks. I am interested in Machine Learning, AI, Software & Backend Development. I graduated with a Dual Degree (Bachelors in Engineering Physics + Masters in Computer Science) from the Indian Institute of Technology (Delhi). If you would like to know anything more about me, feel free to contact me!
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.
161.3
CodersRank Rank
Top 4%
Top 50
Assembly
Developer
United States
Top 50
Protocol Buffer
Developer
United States
Highest experience points: 0 points,
0 activities in the last year
Python
20
exp.
HTML
14.6
exp.
Shell
13.5
exp.
JavaScript
13
exp.
CSS
12.5
exp.
Jupyter Notebook
11.3
exp.
TypeScript
4.6
exp.
Protocol Buffer
4.5
exp.
Assembly
4.5
exp.
MATLAB
4.4
exp.
OpenEdge ABL
3.4
exp.
Perl
2.9
exp.
Batchfile
2.4
exp.
List your work history, including any contracts or internships
WorldQuant Full-time
Aug 2020 - Jun 2021 (10 months)
Data Scientist
Indian Institute of Technology, Delhi
Jul 2019 - Jul 2020 (1 year)
Graduate Teaching Assistant
Teaching Assistant for COL362 (Database Systems) in Spring 2020
Teaching Assistant for COL341 (Machine Learning) in Fall 2019
- Helped author and evaluate homeworks, projects & quizzes
- Conducted help sessions and taught use of various libraries/tools
Teaching Assistant for COL341 (Machine Learning) in Fall 2019
- Helped author and evaluate homeworks, projects & quizzes
- Conducted help sessions and taught use of various libraries/tools
WorldQuant Internship
May 2019 - Jul 2019 (2 months)
Quantitative Researcher
Devised operations for intraday strategies to reduce risk & regulate market impact
Improved value addition to trade signals using technical market indicators
Transformed signals using style factors based expose, minimizing market risk
Implemented the Johansen test for cointegration, used for equity pair trading
Improved value addition to trade signals using technical market indicators
Transformed signals using style factors based expose, minimizing market risk
Implemented the Johansen test for cointegration, used for equity pair trading
Add some compelling projects here to demonstrate your experience
Agent Tracking under Uncertainty
Feb 2020 - Mar 2020
Tracking of an underwater agent through a dual noisy sensory system across a finite discrete grid
Filtering to predict current position given all previous observations for dual & single modality
Smoothening to predict past positions given all the observations and determining the most likely path
Filtering to predict current position given all previous observations for dual & single modality
Smoothening to predict past positions given all the observations and determining the most likely path
3D Human Pose Estimation
Jan 2019 - Jan 2020
Developed a novel multi-modal Deep model for 3D Tracking which outperforms SotA (1.3% better)
Improvement on natural (Human3.6M) & synthetic (SURREAL) datasets; using Coord Convolutions
Successfully tracked Yoga (own dataset) with occlusions and body extensions not possible with SotA
Improvement on natural (Human3.6M) & synthetic (SURREAL) datasets; using Coord Convolutions
Successfully tracked Yoga (own dataset) with occlusions and body extensions not possible with SotA
WebAssembly Analysis and Tracing
Oct 2019 - Nov 2019
Analysed the performance of WebAssembly vs Native code (Polybench suite compiled with emscripten)
Analysis using Wasabi Toolkit (execution time, instruction mix & count and hot code identification)
Experimented with modern browsers (Chrome, Firefox, Safari) as well as multiple Optimization Levels
Generated the dynamic instruction trace of WebAssembly and translated it to it's equivalent x86 format
Analysis using Wasabi Toolkit (execution time, instruction mix & count and hot code identification)
Experimented with modern browsers (Chrome, Firefox, Safari) as well as multiple Optimization Levels
Generated the dynamic instruction trace of WebAssembly and translated it to it's equivalent x86 format
This section lets you add any degrees or diplomas you have earned.
Indian Institute of Technology, Delhi
Master of Technology - MTech, Computer Science
Jan 2018 - Jan 2020
Indian Institute of Technology, Delhi
Bachelor of Technology (B.Tech.), Engineering Physics
Jan 2015 - Jan 2019
AECS Magnolia Maaruti Public School - India
All India Senior School Certificate Examination, Science
Jan 2013 - Jan 2015
National Public School
CBSE 10th Grade
Jan 2003 - Jan 2013
Open Source Software Development, Linux and Git
May 2020
Programming with Google Go
May 2020
Reinforcement Learning
May 2020