AI & Deep Learning Enthusiast
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Assessing your cultural and operational fit
IIT Madras
Deep learning Engineer
June 12, 2026 – Present
Diffusion_model_for_seismic_generation
November 18, 2025 – November 18, 2025
Diffusion_model_for_seismic_generation — GitHub repository
View Projectawesome_Agentic_AI
July 24, 2025 – August 11, 2025
Resources and references on solved and unsolved problems in agentic AI.
View Projectawesome-TTA
July 5, 2025 – August 11, 2025
A curated collection of Test-Time Adaptation (TTA) papers, methods, and resources, updated monthly with the latest research.
View ProjectGeophysical_Waveform_Inversion
June 30, 2025 – July 4, 2025
Geophysical_Waveform_Inversion — GitHub repository
View ProjectCONTINUOUS_CONTROL_WITH_DEEP_REINFORCEMENT_LEARNING
May 11, 2025 – June 9, 2025
CONTINUOUS_CONTROL_WITH_DEEP_REINFORCEMENT_LEARNING — GitHub repository
View ProjectBayesian_Adaptation_for_Covariate_Shift
May 11, 2025 – June 11, 2025
Bayesian_Adaptation_for_Covariate_Shift — GitHub repository
View Projectsoft-engg-project-jan-2025-se-Jan-36
January 18, 2025 – March 31, 2025
soft-engg-project-jan-2025-se-Jan-36 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on research-oriented and advanced AI topics, which aligns well with an innovative and technically driven culture. However, the lack of team-based projects or diverse technology stacks beyond core AI research tools might indicate a preference for individual contributions or a narrower scope of collaboration. The single current employment at IIT Madras as a Deep Learning Engineer suggests a research-heavy background, which could be a good fit for roles requiring deep technical investigation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.