I will model optimization, dnn pruning, object detection yolo ssd

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Aakash Kumar
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Deep Learning & AI Model Optimization, DNN pruning, object detection (YOLOv5, SSD), reinforcement learning, spiking neural networks, LiDAR-camera fusion, LLM integration (RAG, generative AI).


ML & Data Science End-to-end pipelines: preprocessing, classification, fault detection, anomaly detection validated across medical, UAV, and robotics datasets.


Academic Writing & Editing Research manuscripts, proposals, literature reviews, and technical reports written to publication standard.


LaTeX & Document Prep TikZ, pgfplots, moderncv, MS Word formatting, PDF services, journal/conference templates.


Notable Publications


DSQN: Mobile robot path planning via deep spiking Q-network Neurocomputing, 2025

L1 Norm+Capped L1 Norm Model Optimization Applied Intelligence, 2021

CorrNet: Correlation-based CNN pruning IJMLC, 2022

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Aakash Kumar

Assistant Professor

  • DaCina
  • Membro daapr 2026
  • Tempo di risposta medio1 ora
  • Lingue

    Inglese, Cinese
Offering 5+ years of experience as a Deep Learning Researcher and 2 years of experience as a Data Scientist in a software development firm, I am looking for a transition to a Deep Learning Engineer role in a research institution/industry. I focus on Pruning Deep Learning Models, Crowd Counting using deep leaning, Object Detection in real time, and Continual Learning. I bring excellent communication abilities with hands-on experience in building deep learning and machine learning models with deployment and creating dashboards with story to tell.