From fda8ae3d8e576e405cc0c0d90d491ea4ec4cca4c Mon Sep 17 00:00:00 2001 From: Michael Pivato Date: Sun, 3 Mar 2024 13:25:45 +1030 Subject: [PATCH] Fix html validation errors --- index.html | 519 +++++++++++++++++++++++++++-------------------------- 1 file changed, 265 insertions(+), 254 deletions(-) diff --git a/index.html b/index.html index e4c1cf1..d039dee 100644 --- a/index.html +++ b/index.html @@ -1,280 +1,291 @@ - - - - Michael Pivato - - - - - - - - - - - -
- +
+
-

Cadet at DST Group

-
2018 - 2019
+

Michael Pivato

+

Career summary and interests

-
Key Responsibilities
+
+

+ A driven and highly motivated full-stack developer, I am always ready + to improve and learn. With a vast knowledge of multiple programming + languages, paradigms and related technicologies, I have successfully + implemented many applications that have been used and loved by + clients. +

+
+

Career

+
+

PowerHealth Solutions

+

2019 - Current

+
+

Key Responsibilities

  • - Research distributed systems and middleware for use in tactical - situations. + Redesign and maintain the PowerHealth Solutions costing product + (PPM).
    • -
  • Develop a project to show this research.
  • - Write about new technologies, their benefits to defence, and how - they can be used. + Create and maintain various front- and back-end components to + support consistent theming, quality, and developer experience + across PPM and now the billing product.
    • -
  • Held a Negative Vetting 1 (NV1) Security Clearance.
    • +
  • + Respond to internal and client feedback to improve the costing + product. +
    • +
  • Develop automated tests to improve code quality.
-
Key Achievements
+

Key Achievements

    -
  • Implementation of Raft algorithm for the camera network.
  • - Implementation of Hand Detection using CNN, and finger recognition - with alternative algorithm. + Significant contributions to the redesigned costing product, that + is now in production use and enjoyed by clients. +
    • +
  • + Create and setup front-end and associated web server back-end + components on the costing and billing products, as well as + internal products.
- -
- Kilburn Software +
+ DST Group +
+

Cadet at DST Group

+

2018 - 2019

+
+
Key Responsibilities
+
    +
  • + Research distributed systems and middleware for use in tactical + situations. +
    • +
  • Develop a project to show this research.
    • +
  • + Write about new technologies, their benefits to defence, and how + they can be used. +
    • +
  • Held a Negative Vetting 1 (NV1) Security Clearance.
    • +
+
Key Achievements
+
    +
  • Implementation of Raft algorithm for the camera network.
    • +
  • + Implementation of Hand Detection using CNN, and finger + recognition with alternative algorithm. +
    • +
+
+
+ Kilburn Software +
+

Software Developer at Kilburn Software

+

2016 - 2018

+
+
Key Responsibilities
+
    +
  • Develop Mac and iOS applications using Xamarin and C#.
    • +
  • + Network and MS-SQL Server Troubleshooting and Implementation. +
    • +
  • + Adhere to quality standards regarding privacy of information for + schools. +
    • +
  • + Liaise with stakeholders of the application being developed. +
    • +
+
Key Achievements
+
    +
  • Rollout of macOS and iOS applications to several schools.
    • +
  • + Set up a testing station in the office to simulate a Catholic + Primary School. +
    • +
+
+
+
+

Education

-

Software Developer at Kilburn Software

-
2016 - 2018
+

Bachelor of Information Technology

+

2016 - 2018

-
Key Responsibilities
+

University of South Australia

+

GPA: 6.89

+

Awards

    -
  • Develop Mac and iOS applications using Xamarin and C#.
  • - Network and MS-SQL Server Troubleshooting and Implementation. -
    • -
  • - Adhere to quality standards regarding privacy of information for - schools. -
    • -
  • - Liaise with stakeholders of the application being developed. + University of South Australia 25th Anniversary Excellence + Scholarship
    • +
  • 2nd year Scholarship in Information Technology
    • +
  • 3rd year Scholarship in Information Technology
    • +
  • Chancellors Letters of Commendation
-
Key Achievements
+
+
+

Skills

+

Technical

    -
  • Rollout of macOS and iOS applications to several schools.
    • +
  • Java - Gradle, JUnit, Jooq, Swing
  • - Set up a testing station in the office to simulate a Catholic - Primary School. + Angular and Web - including Typescript/Javascript, CSS, HTML
    • +
  • SQL - primarily MSSQL/T-SQL
    • +
  • Rust
    • +
  • Flutter/Dart
    • +
  • Xamarin + C#/.Net
    • +
  • + Python - Tensorflow and pandas for machine learning and data + analysis +
    • +
  • Containerization - Docker and Podman/Buildah
    • +
  • Development Tools - Git, Jira, shell
    • +
  • Modern Operating Systems - Debian Linux, Windows, macOS
- -
-
-

Education

-
-

Bachelor of Information Technology

-

2016 - 2018

-
-

University of South Australia

-

GPA: 6.89

-

Awards

-
    -
  • - University of South Australia 25th Anniversary Excellence - Scholarship -
    • -
  • 2nd year Scholarship in Information Technology
    • -
  • 3rd year Scholarship in Information Technology
    • -
  • Chancellors Letters of Commendation
    • -
-
-
-

Skills

-

Technical

-
    -
  • Java - Gradle, JUnit, Jooq, Swing
    • -
  • Angular and Web - including Typescript/Javascript, CSS, HTML
    • -
  • SQL - primarily MSSQL/T-SQL
    • -
  • Rust
    • -
  • Flutter/Dart
    • -
  • Xamarin + C#/.Net
    • -
  • - Python - Tensorflow and pandas for machine learning and data - analysis -
    • -
  • Containerization - Docker and Podman/Buildah
    • -
  • Development Tools - Git, Jira, shell
    • -
  • Modern Operating Systems - Debian Linux, Windows, macOS
    • -
-

Other

-
    -
  • UI/UX - responsive, easy to use, and acessible design
    • -
  • - Excellent written and verbal communication - handle client and - internal feedback, new features and problems -
    • -
  • Testing - automated unit and integration tests
    • -
-
-
-

Hobby Projects

-

- Over the years I've hacked away at various personal projects. My - preference is always to build, run and host applications locally, - which includes this page! -

-

- Recently my interesets have shifted slightly to large machine learning - models, and have messed around with Stable Diffusion (mainly with - Invoke AI) and Llama - language models in - rustformers. The - latter has been a bit dissappointing (at least for its programming - ability), and I think my job will stick around a while longer! -

-

- Finally I've thoroughly enjoyed writing in Rust, mainly the - efficiency, ease of use and correctness that come from using this - programming language. One example was in the - FastCoster - project, where I reduced the time taken for processing some demo data - on the costing product from ~1.5 hours to ~7 seconds on a - laptop/desktop, or ~36 seconds on a smartphone. This was mainly due to - not using SQL Server, and using a custom algorithm in overhead - allocation that significantly reduced memory consumption and the - number of required calculations. -

-
-

PiCar

- Source -
-

- This project originally involved communication between a Raspberry Pi - and a Traxxas Slash using the Pi's GPIO to control the steering and - throttle of the RC Car. This was mounted on some 3D printed - brackets.The steering and throttle are set using an iPhone/Android - application connected over WiFi. -

-

Over time this worked as a base to explore other ideas, namely:

-
    -
  • - SLAM: Using BreezySLAM and a 2D RP Lidar A1, the Pi can map out an - area and send this information to the controlling phone. -
    • -
  • - Depth Prediction: Using the Pi's camera and an Intel Neural Compute - Stick (NCS), the Pi could process camera data and use a custom - implementation of the - FastDepthOther +
      +
    • UI/UX - responsive, easy to use, and acessible design
      • +
    • + Excellent written and verbal communication - handle client and + internal feedback, new features and problems +
      • +
    • Testing - automated unit and integration tests
      • +
    +
+
+

Hobby Projects

+

+ Over the years I've hacked away at various personal projects. My + preference is always to build, run and host applications locally, + which includes this page! +

+

+ Recently my interesets have shifted slightly to large machine + learning models, and have messed around with Stable Diffusion + (mainly with + Invoke AI) and Llama + language models in + rustformers. The + latter has been a bit dissappointing (at least for its programming + ability), and I think my job will stick around a while longer! +

+

+ Finally I've thoroughly enjoyed writing in Rust, mainly the + efficiency, ease of use and correctness that come from using this + programming language. One example was in the + FastCoster - Neural Network to add 3D sensing capabilities. - - -

- Recently there have been efforts to port the backend to Rust, with the - 2D Lidar sensing and control completed. The Python BreezySLAM - implementation is currently unfinished, mainly due to distractions - from other projects -

-
-

Depth Prediction

- Source -
-

- From the PiCar project, I explored many different implementations of - monocular depth Prediction and 3D SLAM solutions, including - implementing my own algorithms and trainers for depth prediction that - perform well on constrained devices. -

-

- This gave me a solid foundation on Tensorflow/Keras and computer - vision. It also helped expand my knowledge on machine learning from - university/online study, as I previously had not explored models this - large, or specifically computer vision related models. -

-
-
- Michael Pivato • 2024 -
-
-
- + project, where I reduced the time taken for processing some demo + data on the costing product from ~1.5 hours to ~7 seconds on a + laptop/desktop, or ~36 seconds on a smartphone. This was mainly due + to not using SQL Server, and using a custom algorithm in overhead + allocation that significantly reduced memory consumption and the + number of required calculations. +

+
+

PiCar

+

+ Source +

+
+

+ This project originally involved communication between a Raspberry + Pi and a Traxxas Slash using the Pi's GPIO to control the steering + and throttle of the RC Car. This was mounted on some 3D printed + brackets.The steering and throttle are set using an iPhone/Android + application connected over WiFi. +

+

Over time this worked as a base to explore other ideas, namely:

+ +

+ Recently there have been efforts to port the backend to Rust, with + the 2D Lidar sensing and control completed. The Python BreezySLAM + implementation is currently unfinished, mainly due to distractions + from other projects +

+
+

Depth Prediction

+

+ Source +

+
+

+ From the PiCar project, I explored many different implementations of + monocular depth Prediction and 3D SLAM solutions, including + implementing my own algorithms and trainers for depth prediction + that perform well on constrained devices. +

+

+ This gave me a solid foundation on Tensorflow/Keras and computer + vision. It also helped expand my knowledge on machine learning from + university/online study, as I previously had not explored models + this large, or specifically computer vision related models. +

+ + + + + +