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Hi ЁЯСЛ, I'm Amit Jadhav

A Full-Stack Software Engineer, passionate Data Scientist and Open Source contributor From India.

git gitlab jquery NestJS react Angular .Net Go JAVA NodeJS python google cloud azure Linux docker kubernetes prometheus puppet mongodb redis mysql postgresql firebase pytorch TensorFlow apache cassandra influxdb oracle graphql octopus jenkins jenkinsxfull stac nginx android ansible Kafka Auth0 Babel cloudbees confluence consul cplusplus css3 elasticsearch Helm

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https://www.jadhav.io/ https://www.linkedin.com/in/jadhavamitb/ https://twitter.com/jadhavamitb

рдирдорд╕реНрдХрд╛рд░ ЁЯСЛ

рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧ рд╢рд┐рдХрд╛ рдЕрдорд┐рдд рдЬрд╛рдзрд╡ рдпрд╛рдВрдЪреНрдпрд╛ рдЙрджрд╛рд╣рд░рдгрд╛рдВрд╕реЛрдмрдд .

рд╣реНрдпрд╛ рдкреНрд░реЛрдЬреЗрдХреНрдЯ рдЖрдкрдг рдЕрдиреЗрдХ рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧ рдЕрд▓реНрдЧреЛрд░рд┐рдердореНрд╕рдЪрд╛ рдЕрднреНрдпрд╛рд╕/рд╡рд╛рдкрд░ рдПрдХрд╛ рд╡рд┐рд╢рд┐рд╖реНрдЯ рд╕рдорд╕реНрдпреЗрд╡рд░ рдХрд╕рд╛ рд▓рд╛рдЧреВ рд╣реЛрддреЛ рдЖрдгрд┐ рддреНрдпрд╛рдЪреЗ рдЙрддреНрддрд░ рдХрд╛рдп рдорд┐рд│рддреЗ рд╣реНрдпрд╛рд╕рд╛рдареА рдЖрд╣реЗ. рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧ рдореЙрдбреЗрд▓ рд╡рд┐рдХрд╕рд┐рдд рдЭрд╛рд▓реНрдпрд╛рд╡рд░ рддреНрдпрд╛рдЪреНрдпрд╛ рдорд╛рдШреЗ рдХреЛрдг рдХреЛрдгрддреНрдпрд╛ рд╕рд░реНрд╡ рдкреНрд░рдХреНрд░рд┐рдпрд╛ рд╡рд┐рдХрд╕рд┐рдд рд╣реЛрддрд╛рдд рд╣реЗ рджрд╛рдЦрд╡рд╛рдпрдЪреЗ рдЖрд╣реЗ. рдореНрд╣рдгрдЬреЗ рд╕рд╛рд░реНрд╡рдЬрдирд┐рдХ рдбреЗрдЯрд╛ рд╕реНрд░реЛрддрд╛рдХрдбреВрди рдбреЗрдЯрд╛ рдХрд╕рд╛ рдорд┐рд│рд╡рд┐рд▓рд╛ рдЬрд╛рддреЛ, рддреЛ рдХрд╕рд╛ рдкреНрд░реАрдкреНрд░реЛрд╕реЗрд╕реНрдб рдХреЗрд▓рд╛ рдЬрд╛рддреЛ, рдХрд╕рд╛ рдЯреНрд░рд╛рдиреНрд╕рдлреЙрд░реНрдо рдХреЗрд▓рд╛ рдЬрд╛рддреЛ рдЖрдгрд┐ рдирдВрддрд░ рдХрд╛рд╣реА рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧ рдореЙрдбреЗрд▓реНрд╕рдирд╛ рддреЛ рдХрд╕рд╛ рджрд┐рд▓рд╛ рдЬрд╛рддреЛ, рдЬреЗ рдЖрдЙрдЯрдкреБрдЯ рджреЗрддрд╛рдд рдЬреЗ рдирдВрддрд░ рдирд┐рд░реНрдгрдп рдШреЗрдгреНрдпрд╛рд╕рд╛рдареА рд╡рд╛рдкрд░рд▓реЗ рдЬрд╛рддрд╛рдд, рд╣реНрдпрд╛рдЪреЗ рд╕рд░реНрд╡ рдЬреНрдЮрд╛рди рдЖрдкрд▓реНрдпрд╛рд▓рд╛ рдЗрдереЗ рдорд┐рд│реЗрд▓. [рдЬреНрдпреБрдкрд┐рдЯрд░ рдиреЛрдЯрдмреБрдХ] (https://jupyter.org) рдЪреНрдпрд╛ рдорд╛рдзреНрдпрдорд╛рддреВрди [рдкрд╛рдпрдерди 3] (https://www.python.org) рдордзреНрдпреЗ рд▓рд╛рдЧреВ рдХреЗрд▓реЗрд▓реНрдпрд╛ рд╡реНрдпрд╛рд╡рд╣рд╛рд░рд┐рдХ рдЙрджрд╛рд╣рд░рдгрд╛рд╕рд╣ рдкреНрд░рддреНрдпреЗрдХ рдЧреЛрд╖реНрдЯ рдкрд╛рдпрд░реА-рдкрд╛рдпрд░реА рдиреЗ рджрд░реНрд╢рд╡рд┐рд▓реА рдЖрд╣реЗ.

рдореЙрдбреЗрд▓ рддрдпрд╛рд░ рдХрд░рдгреНрдпрд╛рд╕рд╛рдареАрдЪреЗ рдЙрджрд╛рд╣рд░рдг : рд╢реЗрдЕрд░ рдмрд╛рдЬрд╛рд░рд╛рдд рдкреИрд╕реЗ рдорд┐рд│рд╡рд╛.

рдореА рд╣рд╛ рдкреНрд░реЛрдЬреЗрдХреНрдЯ рд╡рд┐рд╢реНрд╡рд╛рд╕рд╛рд░реНрд╣ рдЖрдгрд┐ рдЖрд╡реНрд╣рд╛рдирд╛рддреНрдордХ рдмрдирд╡рд┐рдгреНрдпрд╛рд╕рд╛рдареА рд╢реЗрдЕрд░ рдмрд╛рдЬрд╛рд░рд╛рддреАрд▓ рд╡реЗрд│реЗрдЪреНрдпрд╛ рдорд╛рд▓рд┐рдХреЗрдЪреНрдпрд╛ рджреИрдирдВрджрд┐рди рдРрддрд┐рд╣рд╛рд╕рд┐рдХ рдХреЛрдЯрд╛рдВрд╡рд░ рдЖрдзрд╛рд░рд┐рдд рдбреЗрдЯрд╛рдЪрд╛ рд╡рд╛рдкрд░ рдХреЗрд▓рд╛ рдЖрдгрд┐ рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧрдЪреНрдпрд╛ рдорджрддреАрдиреЗ рдХрдзреА рд╡реНрдпрд╛рдкрд╛рд░ рдХрд░рд╛рдпрдЪреЗ рдХреА рдирд╛рд╣реА рдпрд╛рдЪрд╛ рдирд┐рд░реНрдгрдп рдШреЗрддрд╛ рдпреЗрддреЛ рд╣реЗ рджрд╛рдЦрд╡рд┐рд▓реЗ рдЖрд╣реЗ. рд╕рдВрдкреВрд░реНрдг рдкреНрд░реЛрдЬреЗрдХреНрдЯ рд╕рд╛рдареА рдПрдХрдЪ рд╕рдорд╕реНрдпрд╛ рджреЗрдгреНрдпрд╛рдд рдЖрд▓реА рдЖрд╣реЗ, рдЖрдгрд┐ рддреА рд╡реЗрдЧрд╡реЗрдЧрд│реНрдпрд╛ рдорд╢реАрди рд▓рд░реНрдирд┐рдВрдЧ рдЕрд▓реНрдЧреЛрд░рд┐рдердореНрд╕рд╕рд╣ рдореЙрдбреЗрд▓ рдХреЗрд▓реА рдЬрд╛рдИрд▓. рд╡рд┐рд╢реЗрд╖рддрдГ, рдЗрдиреНрдлреЛрд╕рд┐рд╕рдЪреНрдпрд╛ (INFY) рд╕реНрдЯреЙрдХреНрд╕рдЪреА рдЦрд░реЗрджреА рд╡рд┐рдХреНрд░реА рдХрд░рд╛рдпрдЪреА. рдЗрдиреНрдлреЛрд╕рд┐рд╕ рдЪреЗ рд╕реНрдЯреЙрдХреНрд╕ рдПрдХ рдПрдХреНрд╕рдЪреЗрдВрдЬ рдЯреНрд░реЗрдбреЗрдб рдлрдВрдб(ETF) рдЖрд╣реЗрдд, рдЖрдгрд┐ рдПрд╕рдПрдВрдбрдкреА 500 (S&P 500) рдЗрдВрдбреЗрдХреНрд╕рд╢реА рдирд┐рдЧрдбрд┐рдд рдЖрд╣реЗрдд. рд╕реНрдЯреЙрдХ рдорд╛рд░реНрдХреЗрдЯ рдЦрд╛рддреЗ рдЕрд╕рд▓реЗрд▓реЗ рдХреЛрдгреАрд╣реА рдЗрдиреНрдлреЛрд╕рд┐рд╕рдЪрд╛ (INFY) рд╡рд╛рдЯрд╛ рд╡рд┐рдХрдд рдШреЗрдгреНрдпрд╛рд╕ рд╕рдХреНрд╖рдо рдЖрд╣реЗ рдЖрдгрд┐ рдЧреБрдВрддрд╡рдгреВрдХреАрдЪреНрдпрд╛ рдХрд╛рд▓рд╛рд╡рдзреАрдд рддреНрдпрд╛рдЪреЗ рдПрд╕ рдПрдВрдб рдкреА 500 рдЪреНрдпрд╛ рдкрд░рдлреЙрд░рдордиреНрд╕ рдЗрддрдХреЗрдЪ рдкрд░рддрд╛рд╡рд╛ рдЕрд╕реЗрд▓. рдЗрдиреНрдлреЛрд╕рд┐рд╕ INFY) рдПрдХ рд╡реНрдпрд╡рд╣рд╛рд░рдпреЛрдЧреНрдп рдорд╛рд▓рдорддреНрддрд╛ рдЖрд╣реЗ рдЖрдгрд┐ рдХреЛрдЯреНрд╕ рдпрд╛рд╣реВ рдлрд╛рдпрдирд╛рдиреНрд╕рд╡рд░ рдбрд╛рдЙрдирд▓реЛрдб рдХреЗрд▓реЗ рдЬрд╛рдК рд╢рдХрддрд╛рдд.

Project Source Code

All the project code is located on GitHub

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This GitHub repository provides a structured path for going from beginner to advanced in data science, machine learning, and specifically - generative AI.

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An open-source version of iPhone's native Messages app

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Advanced R programming: a book

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As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.

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:a: web framework for building virtual reality experiences.

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An open-source platform for Visual AI.

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Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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Solutions to AIMA (Artificial Intelligence: A Modern Approach)

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The Alexa Skills Kit SDK for Java helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.

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