Apoorva Arora

Experience

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  Texas Instruments

  Jun 2016 - Jul 2016

  Mentor: India University Program | Embedded system design

  Mentored the summer internship program on microcontroller based embedded system design organised by the TI Centre for Embedded Product Design at NSIT- Mentored around 100 students from engineering colleges across India. Guided students on circuit designing in EAGLE, fabrication and digital systems concepts.- 2 teams completed their projects on home automation systems using Beaglebone Black directly under my guidance.

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  TNO

  Jan 2019 - Jan 2020

  Researcher - Artificial Intelligence, 5G

  -Master’s thesis: a part of the work resulted in a patent filing and publication-Use of supervised machine learning and reinforcement learning for radio resource management (RRM) in sliced radio access networks. Developed novel AI models

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  KPN

  Jul 2019 - Jan 2019

  Researcher - Reinforcement Learning, LoRaWAN

  -Internship project: a part of work resulted in a patent (accepted in EU) and a publication-Awarded KPN Inventor Reward for developing a novel algorithm. -Research for enabling LoRaWAN Class B operation in KPN’s network.

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  KPN

  Jan 2020 - Jan 2023

  Machine Learning and AI Engineer

  Developing and deploying models for customer journey improvement by optimising service actions using reinforcement learning, energy saving in the network using time-series based prediction, predictive network problem diagnostics, creating real-time customer profilesSkills: Deep learning, Time-series, Reinforcement learning, A/B Testing, MLOps, CICD, AWS, Azure, Tensorflow, Pytorch, Kafka

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  Google Summer of Code

  Jun 2020 - Jan 2020

  Embedded System Engineer

  Student developer: FPGA based bidirectional packet protocol design to support various bus protocols (I2C, SPI..) over common LVDS link.Apertus Org.Link to project: https://summerofcode.withgoogle.com/archive/2020/projects/5020544782565376/

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  DIONE

  Jan 2021 - Jan 2022

  Co-Founder

  Dione provides swarm of drone services with computer vision analytics to identify damage and points of inefficiencies in solar farms Our solution won the ASML makers award 2021 in the TU Delft Impact Contest

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  Brenntag

  Jan 2023 - now

  Machine Learning Engineer

  Supply Chain optimisation: demand forecasting, order value calculation, nearest stock calculation, sentiment analysisPutting models into production, optimising ML model lifecycle from experiment to behind an API to model monitoring, extensively using cloud- AWS, CICD, IaC, system design for ML Skills: MLOps, terraform, CICD, AWS, MLFow, Sagemaker, Glue, Deep learning, Tensorflow, Pytorch, LLMs, Transformers