Deepak Raj

Learn more about me

AI & Machine Learning Enthusiast

"I could either watch it or be part of it."

- Elon Musk

  • I am a Microsoft Azure certified Data Scientist and AI Developer who has high hopes for Artificial Intelligence and its impacts on the near-future society and would like to learn and contribute to this field as much as possible.

My certifications

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DP-100

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Tensorflow Developer

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AI-102

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McKinsey Forward Program

Skills

Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Data Analysis
Data Visualization
AI Ethics
Transfer Learning
Azure AI Studio
Azure ML Studio
Model Optimization
Edge deployment

My Blogs

The Brain-Internet Connection

The Belief Of Dataism

Rise Of AI

Education

Robotics Cognition and Intelligence

October, 2021 - Present

Technical University of Munich, Munich

Masters Degree

Focus : Computer Vision, Machine Learning, Deep Learning, Cloud Computing, Cognitive Science, Robotics, Software Engineering

Electronics & Mobile Communication

2019 - 2021

Riga Technical University,Riga

Bachlors Degree

Focus : Signal Theory, Digital Signal Processing, Embedded Systems Architecture, Data Structures, Programming languages (C++, Python)

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Languages

German

B2-C1

Professional Working Proficiency

English

C1-C2

Fluent

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Extra Curricular

Start Munich (Partnerships WS23 Batch)

Nov 2023 – Present

Contributing to one of Munich’s most prominent entrepreneurial communities in the partnerships department.

Technical Co-ordinator of Responsible Technical Hub

Oct 2022 – Present

Non-profit organization for Responsible Technology.

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WORK EXPERIENCE

Securiton Germany

Jan 2022 – Present (2.5+ years)

Munich, Bavaria, Germany

  • AI Developer

    Aug 2024 – Present
    • Integrated algorithms from my Master’s thesis into the company’s internal product pipeline, enabling real world applications of my research.
    • Performed model quantization using the OpenVINO Post-Training Optimization Toolkit, increasing inference speed from 13 FPS on GPU to 30 FPS on CPU hardware.
  • Master’s Thesis Research

    Jan 2024 – Aug 2024
    • Conducted research on anomaly detection and highly robust neural network-based background subtraction models to identify unexpected objects in real-world video streams.
    • Received a grade of 1.3 (German grading scale) for the thesis.
  • Working Student (Computer Vision)

    Jan 2022 – Jan 2024
    • Worked on data annotation, preprocessing, model training, fine-tuning, and inference of Computer Vision models focusing on large-scale CCTV security footage and synthetic datasets in a high-security domain.
    • Utilized TensorFlow Object Detection API, Ultralytics YOLO, and various other object detection and classification models for benchmark comparison, along with the OpenVINO Toolkit for advanced model deployment.

Presize AI

Oct 2021 – Dec 2021

Munich, Bavaria, Germany

  • Worked on building a highly accurate apparel recommendation system in cooperation with Tum-AI and Presize.ai.

Projects

Estimation of the Remaining Life of Transistors with TUM Data Innovation Lab and Procon IT

Automatic Polygonal Semantic Segmentation Annotation Tool

Positive News using Azure Sentiment analysis

Project AI ACTion

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