
@google-deepmind, Ex-@adobe-research @midas-research @pandocorp @dsgiitr, IIT Roorkee
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@google-deepmind
Software Engineer
June 11, 2026 – Present
Awesome-Aesthetics-Assessment
January 15, 2024 – Present
Collection of Aesthetics Assessment Papers for Graphic Designs.
View ProjectWhat-Characterizes-Personalities-of-Graphic-Designs
May 25, 2023 – January 16, 2024
What-Characterizes-Personalities-of-Graphic-Designs — GitHub repository
View ProjectEmoGen
March 23, 2023 – January 12, 2025
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
View ProjectGlobal-Wheat-Detection-AIcrowd
June 19, 2021 – September 17, 2023
Wheat detection using Faster RCNN
View ProjectCPU-vs-GPU-PyTorch-Tensor-Operations
February 23, 2021 – May 14, 2021
CPU-vs-GPU-PyTorch-Tensor-Operations — GitHub repository
View ProjectBicycleGAN
February 13, 2021 – September 1, 2021
PyTorch Implementation for Paper "Toward Multimodal Image-to-Image Translation"
View ProjectCp-important-codes
December 21, 2020 – October 20, 2023
Cp-important-codes — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic/research-oriented in Machine Learning, which aligns with a technical role. However, the breadth of technologies outside of ML/Python is limited. The single listed experience at '@google-deepmind' starting in 2026-06-11 with no end date and marked as current is unusual and lacks detail, making it difficult to assess real-world team collaboration or project delivery experience. The target role 'Software Engineer' is broad, and while ML projects are relevant, a lack of diverse software engineering projects (e.g., backend, frontend, distributed systems) suggests a potentially narrow fit for a general software engineering role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.