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GSoC '26 @sbi-dev | Amazon MLSS '25
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Assessing your cultural and operational fit
OUTR Bhubaneswar
Data Scientist
June 21, 2026 – Present
HBO-UAV-Trajectory-Control
April 25, 2026 – Present
Autonomous UAV 3D trajectory tracking in MATLAB and Simulink. Uses HBO to dynamically tune a 12D Cascaded PD controller, preventing windup and ensuring robust flight stability.
View ProjectGSoC_archive_2026
March 20, 2026 – Present
Accepted GSoC 2026 proposals archive for reference and inspiration from the community. Read, compare, and learn exactly what it takes to write a technically sound and structurally perfect proposal.
View Projectqudet-dev
January 28, 2026 – Present
QuDET is Python package for data engineering that bridges classical data pipelines with quantum computing.
View Projectwafer-mamba
January 15, 2026 – Present
Repository containing official implementation and experimental artifacts for "Hybrid Quantum-MambaVision" paper accepted at "Pacific-Asia Conference on Knowledge Discovery and Data Mining" (PAKDD) 2026.
View Projectlora-vit-benchmarks
October 30, 2025 – Present
Code for the paper comparing LoRA on Vision Transformer vs. traditional fine-tuning for CNNs on MNIST, Fashion-MNIST, and CIFAR-10.
View Projectquantum-mlops-pipeline
September 28, 2025 – October 10, 2025
🏆 Award-winning project showcasing an end-to-end MLOps pipeline, leveraging quantum algorithms to overcome classical AI bottlenecks in feature engineering, hyperparameter optimization and production monitoring.
View Projectgit-time-machine
September 8, 2025 – October 1, 2025
A VS Code extension that lets you easily create backdated Git commits. Provides an intuitive webview UI to select files, set a past date/time, and write a commit message, directly within the editor.
View Projectdiabetes-predictor
June 30, 2025 – November 2, 2025
End-to-end MLOps project to predict diabetes using FastAPI, Docker, and Kubernetes. Trained on the Pima Indians Diabetes dataset.
View Projectml-headstart
June 6, 2025 – June 14, 2025
A beginner-friendly, end-to-end Jupyter Notebook series designed to help you learn Machine Learning from scratch.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards research and advanced topics, particularly in quantum machine learning. The diversity of personal projects, ranging from MLOps to quantum computing and even a VS Code extension, suggests a curious and versatile individual. The GSoC archive project indicates a community-oriented mindset. However, the candidate's experience level is listed as 0, and the only professional experience is a current Data Scientist role starting recently, which might indicate a lack of extensive industry exposure or team collaboration experience in a corporate setting. This could impact cultural fit in a fast-paced, established team environment without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, capable of working on complex, cutting-edge topics. The award-winning MLOps project indicates an ability to deliver high-quality, impactful work. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.