
Research Engineer/Scientist. Inactive here. Extremely Active on Adobe GPUs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Adobe Research
Data Scientist
June 16, 2026 – Present
Transformers
May 31, 2019 – June 3, 2019
A Pytorch Implementation of Transformers module by Google
View ProjectGBPSVM-Trees
March 23, 2019 – January 4, 2020
Gradient Boosted Proximal SVM Based Decision Trees
View ProjectPixelCNN-Pytorch
February 6, 2019 – May 3, 2020
A naive implementation of PixelCNN in Pytorch as described in A Oord et. al.
View ProjectElectric-Load-Forecasting-using-LSTM
March 31, 2018 – March 31, 2018
Industry Oriented Project
View ProjectText-Generator-LSTM
February 14, 2018 – July 13, 2019
A test generator using Keras similar to the one developed by Karpathy in pure numpy
View ProjectParticle-Swarm-Implementation-in-Python
January 31, 2018 – February 1, 2018
A naive implementation of Particle Swarm Optimisation algorithm in Python with Animation of Swarms
View ProjectDeep-Learning-Mini-Projects
January 18, 2018 – November 21, 2018
A small repository of some easily implementable deep learning projects for beginners
View Projectcnns-in-pure-numpy
December 20, 2017 – July 13, 2019
A Basic NumPy Implementation of Convolution Neural Network (On MNIST Dataset)
View ProjectRecommendation-System
March 9, 2017 – January 25, 2018
Recommendation system for helping students choose elective courses on the basis of collaborative filtering
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on deep learning and machine learning implementations, which aligns with a Data Scientist role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact. The listed experience level of 0, despite a current role at Adobe Research, suggests a potential mismatch in expectations or an entry-level understanding of professional environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, which contradicts the current role at Adobe Research, making it difficult to gauge professional maturity or collaboration skills.