IgorGanapolsky
Information about me as a software developer.
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python_repos
python repositories with code
Python
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Igor Ganapolsky
Mentor
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ABOUT ME
Android Mobile Engineer with ML and AI Expertise
Android Mobile Engineer with ML and AI Expertise
Innovative software engineer with 4+ years of experience using Python to integrate machine learning models. Professional developer of Android mobile apps using Kotlin and Java. Proficient in utilizing MLKit, TensorFlow Lite, OpenAI and Google Gemini language models in Android apps. Skilled in crafting effective prompts to enhance AI system performance and capabilities. Proficient in SQL for data extraction, manipulation, and analysis to support machine learning models.
English
Eastern Time (US & Canada) (-04:00)
Joined May 2018
EXPERTISE
10 years experience
Developer mobile apps for phones and smart watches.
Developer mobile apps for phones and smart watches.
6 years experience
6 years experience
10 years experience
Doing pull requests and code reviews. Setting up CI with Azure Pipelines.
Doing pull requests and code reviews. Setting up CI with Azure Pipelines.
1 year experience
Deployed Google's TensorFlow Lite ML Kit in the Android app to enable real-time image labeling while introducing advanced text recognitio...
Deployed Google's TensorFlow Lite ML Kit in the Android app to enable real-time image labeling while introducing advanced text recognition with Google Gemini Nano in the CNH FarmHQ app.
1 year experience
Used OpenAI's Python API and Google Gemini Vertex AI to create custom Lint rules in ktlint, which were distributed to the entire Android ...
Used OpenAI's Python API and Google Gemini Vertex AI to create custom Lint rules in ktlint, which were distributed to the entire Android engineering team at CNH.
1 year experience
Developed machine learning models using Python, Java and TensorFlow to automate business processes, resulting in 25% increased efficiency...
Developed machine learning models using Python, Java and TensorFlow to automate business processes, resulting in 25% increased efficiency across the company
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SOCIAL PRESENCE
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EMPLOYMENTS
Senior Android Engineer
CNH Industrial
2022-12-01-2024-01-01
● Lead the team on building the FarmHQ Android app in Kotlin. Created stellar Android UI architecture requirements in Jetpack Compose...
● Lead the team on building the FarmHQ Android app in Kotlin. Created stellar Android UI architecture requirements in Jetpack Compose. Employed Kotlin Coroutines in the network layer, profiled using Postman API collections. Integrated Google Maps SDK into the app with custom annotations and clustering algorithms.
o Sped up Android app launch performance by 25% and increased end-user satisfaction.
● Improved farm equipment communication through creation of Android Ktor Websockets via TeamViewer WebAssembly SDK infrastructure for, resulting in faster remote connectivity to smart tractors.
● Guided and mentored an offshore team of Android engineers in MVVM/MVI architecture, JUnit test creation, and database optimization using Google’s Room database ORM.
● Deployed Google's TensorFlow Lite ML Kit in the Android app to enable real-time image labeling while introducing advanced text recognition with Google Gemini Nano in the CNH FarmHQ app.
● Used OpenAI’s Python API and Google Gemini Vertex AI to create custom Lint rules in ktlint, which were distributed to the entire Android engineering team at CNH.
● Built Firebase infrastructure in the Android app for Crashlytics crash logging and user custom event tracking with analytics.
Kotlin
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Kotlin
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Android Cybersecurity Engineer
McAfee Trellix
2021-02-01-2022-11-01
Reverse engineered Jetpack Compose Android apps to perform static analysis and malware finding on the Google Play Store.
● Applied Sophos...
Reverse engineered Jetpack Compose Android apps to perform static analysis and malware finding on the Google Play Store.
● Applied Sophos AI YaraML and SQL to develop malware rule pattern matching:
o Halted Android malware infiltrating the Google Play Store.
● Improved threat detection speed and overall mobile cybersecurity by using TensorFlow and assessing malware datasets.
● Implemented Google's ML infrastructure for cybersecurity to create rules for analyzing network traffic.
● Enabled the detection of potential threats by fine-tuning python rules for accurate threat detection mechanisms.
Python
Java
SQL
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Python
Java
SQL
Kotlin
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