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ML Engineer working in open-source and research field related with MLOps and Edge Computing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
hpc-smart-camera-workflow
March 9, 2026 – Present
hpc-smart-camera-workflow — GitHub repository
View ProjectGSoC-25-Kubeflow-Kale
November 29, 2025 – November 29, 2025
This repo contains my application proposal and details regarding GSoC'25 under Kubeflow
View ProjectFL_Sign_Flip_Demo
September 29, 2025 – September 30, 2025
Using a sign flip attack to dominate Federated Averaging with a singular adversary.
View ProjectNvidia-Jetson-ML-Benchmarking
October 18, 2024 – March 14, 2025
Nvidia-Jetson-ML-Benchmarking — GitHub repository
View ProjectAdaptive-MultiModel-KServe
September 7, 2024 – September 7, 2024
This project focuses on the use of KServe for adaptive multi-model serving to improve scalability and efficiency in MLOps.
View ProjectNLPword2vec
September 4, 2021 – September 4, 2021
Word2vec algorithm on Rick and Morty dataset using word embeddings
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in open-source contributions (GSoC application, Kubeflow projects) and a proactive approach to learning and applying new technologies. The diversity of projects, from MLOps to NLP and edge computing, suggests adaptability and a broad technical curiosity, which could contribute positively to a dynamic team environment. However, without direct experience or education listed, it's hard to fully gauge cultural fit beyond technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.