Nadir Najeeb Kassim
AI Engineer | Deep Learning Enthusiast
AI Engineer | Deep Learning Enthusiast
Hi, Iām Nadir Najeeb Kassim š
As a Research Intern at the Neuronics Lab (Indian Institute of Science), I specialized in embedding machine-learning models on resource-constrained hardware and architecting low-power wireless communication frameworks. With rigorous training in deep learning, computer vision, and embedded systems, I thrive on turning theoretical insights into practical solutions.
Take a look at my projects, explore my interests, or connect with me ā Iām always open to collaboration and learning.
This project builds a two-stage hybrid recommender by combining content-based filtering on MovieLens-32M with an LLM agent using Program-of-Thought prompting and RAG, boosting recommendation enrichment by 38.7% and achieving Top-5 precision 0.76, recall 0.54, NDCG 0.81, and 82% relevance on follow-up queries.
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This project evaluates MobileNetV3-Large for facial segmentation under a strict 3M-parameter budget and 5,000 images. With Mish activations, LR-ASPP decoder, and cross-validation, we reached F1 = 0.875 and IoU = 0.719, outperforming the baseline by a large margin.
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We built an AI-assisted translator that takes high-level QP problems and generates efficient C code using RAG with template retrieval. It supports OSQP & SCS and achieved 93% accuracy across 30+ test cases.
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