AI/ML Engineer & Django Backend Developer | LLM Evaluation, Python, Docker
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I am an AI/ML and backend developer with experience building machine learning pipelines, evaluating large language models, and developing reliable Django REST APIs. I design reproducible AI benchmark tasks and verification environments using Python, Docker, Linux, SQL, Git, and Harbor-based workflows. My work includes debugging, runtime repair, ETL, notebook-generation, coding, and reasoning evaluation tasks for LLMs. I have built end-to-end ML solutions for Wi-Fi CSI-based human activity recognition and sentiment analysis, covering data preprocessing, feature engineering, model training, evaluation, and lightweight inference. I work with Scikit-learn, TensorFlow, PyTorch, OpenCV, NumPy, and Pandas. I also contribute to open source, including a merged Django CMS contribution that improved handling of optional dependencies and import-time errors. On the backend, I build multi-user systems with Django REST Framework, authentication, user-scoped access control, relational data models, pagination, filtering, search, ordering, and query optimization. I am comfortable collaborating through code reviews, CI validation, testing, and fast-paced hackathon development.
AI Evaluation Specialist (Contract) at Handshake AI (Jul 2026 - Present) Open Source Contributor at Django CMS (Jan 2026) Machine Learning Developer at Smart India Hackathon (Nov 2025)
The written report was detailed and useful, covering the requested pages, pricing model, CTA behavior, and a clearly described usability concern. However, the required narrated screen recording and representative screenshot were not successfully delivered in a reviewable form, leaving a material evidence gap after revision.
Redsun first-impression review · Aug 11, 2026