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Data Processing Database Administration JavaScript Machine Learning (ML) Python
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Vishruth B.

@koolvishruth

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5,0
116

6,5

6,5

93%

⭐ Expert Python Dev ⭐ Verified Top 1% ⭐ML ⭐AI

$55 USD / Heure

・

Drapeau de

India (4:19 AM)

・

Inscrit depuis le janvier 22, 2022

$55 USD / Heure

・

I can turn your idea into code. I have 8+ years of experience in software development, Machine Learning, Automation, Integration. I am highly specialized in creating automated systems for your business via Python, ML,AI,React,NodeJS,Excel Area of work: -------------------------------------------------------------------- 1.Python: ► Automate the task 24*7 as per requirements. ► Machine Learning Techniques ► DeepLearning Algorithms ► Microservices ► Web scraping (Selenium,Scrapy,Thirdparty tools and Beautiful Soup) ► Captcha Resolver ► Message Queues (RabbitMQ) ► Scripting [login to view URL] COMPUTING: ►AWS Cloudwatch ►EC2 Instances ►Boto3 ►S3 ►GCP 3.Operating Systems/Techstack: ►Windows 10/11 ►Ubuntu 20.04+ ►Git 4.Agile Platforms & Communication: ► JIRA ► Trello ► Zoom ► Google meet ► Microsoft Teams ► Slack/Discord

Vérifications

Dans les temps

100 %

Dans le budget

100 %

Taux d'acceptation

57 %

Taux de réembauche

8 %

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Portfolio

Portfolio

11380397
Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

11331948
Project involved in creating flask dashboard to display specific columns data via graphs & also provide the JSON data based on requirements. Techstacks used: Python,Pandas,HTML,Matplotlib,JS.

Flask Dashboard

11306136
I worked on generating images based on trained image. I just gave my 10images to train and took around 2hrs to train it and then given prompt to generate image as per Prompt. In this way can generate output as per requirement.

Ai Image Generation | Generative AI | Artificial intelligenc

11271363
The task involved creating a Python-based solution to retrieve data from the NSE Bhavya dataset, accessible at the URL https://www.nseindia.com/all-reports-derivatives. The goal was to scrape both the dataset and its accompanying reports. The developed solution employs relevant Python modules to facilitate automated daily data retrieval. This approach streamlines the process of obtaining NSE Bhavya dataset information, enhancing efficiency and accuracy in gathering essential financial data for analysis and decision-making.

NSE Web Scraping | Trading Data | Indian Stock Market

11257483
Hello Everyone, I recently undertook a project that showcases my skills in cloud computing, Machine Learning and natural language processing. My client needed a solution to automatically transcribe newly uploaded audio files in an S3 bucket, and then summarize the content using ChatGPT Whisper. I successfully developed and implemented a Lambda function that triggers on S3 bucket events, converts audio to text, and utilizes ChatGPT for summarization. This end-to-end project, completed within a week, highlights my expertise in AWS Lambda, OpenAI API integration, and efficient problem-solving. I have attached sample data of summarised file for your reference.

Chat GPT | Whisper | Machine Learning | Python | AI

11224614
I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

11380397
Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

Description: I developed a fully functional web application that enables users to generate professional resumes using OpenAI's GPT-3. The project is built with Python and Flask, making it easy to create customized resumes quickly. Key Features: User-friendly web interface for inputting personal and professional details. Integration with OpenAI's GPT-3 for generating resume content. Multiple resume templates to choose from for a polished look. Automatic formatting of generated content into the chosen template. Challenges: One of the challenges in this project was formatting the content generated by GPT-3, which initially appeared in a paragraph format. To solve this, I implemented a solution to properly structure the generated content into well-designed resume templates.

Resume Generator using OpenAI's GPT-3

11331948
Project involved in creating flask dashboard to display specific columns data via graphs & also provide the JSON data based on requirements. Techstacks used: Python,Pandas,HTML,Matplotlib,JS.

Flask Dashboard

11306136
I worked on generating images based on trained image. I just gave my 10images to train and took around 2hrs to train it and then given prompt to generate image as per Prompt. In this way can generate output as per requirement.

Ai Image Generation | Generative AI | Artificial intelligenc

11271363
The task involved creating a Python-based solution to retrieve data from the NSE Bhavya dataset, accessible at the URL https://www.nseindia.com/all-reports-derivatives. The goal was to scrape both the dataset and its accompanying reports. The developed solution employs relevant Python modules to facilitate automated daily data retrieval. This approach streamlines the process of obtaining NSE Bhavya dataset information, enhancing efficiency and accuracy in gathering essential financial data for analysis and decision-making.

NSE Web Scraping | Trading Data | Indian Stock Market

11257483
Hello Everyone, I recently undertook a project that showcases my skills in cloud computing, Machine Learning and natural language processing. My client needed a solution to automatically transcribe newly uploaded audio files in an S3 bucket, and then summarize the content using ChatGPT Whisper. I successfully developed and implemented a Lambda function that triggers on S3 bucket events, converts audio to text, and utilizes ChatGPT for summarization. This end-to-end project, completed within a week, highlights my expertise in AWS Lambda, OpenAI API integration, and efficient problem-solving. I have attached sample data of summarised file for your reference.

Chat GPT | Whisper | Machine Learning | Python | AI

11224614
I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

I developed an AI model for sports event detection using machine learning techniques. The model utilizes ____ for object detection in videos, enabling us to detect various sports events accurately. The system allows users to upload videos to Amazon S3, process them using the AI model on a cloud-based environment, and store the processed video back on S3. Users can view the processed videos through a web interface, which fetches a signed URL from S3 for secure video access. The project aims to assist businesses in sports data analysis, providing valuable insights and enhancing sports event monitoring and evaluation processes.

Artificial Intelligence | Machine Learning | Python

5.0 · 116 Avis
Commentaires
Avatar de l'utilisateur

Inventory Data Excel Organization • $200 USD

did a great job thank you.

Danielaa C.

@danielac201

•

Drapeau de

Houston, United States

•

il y a 27 jours

Partager

C

Web App Functional Testing - • $60 USD

good quality work, thank you

Mike W.

@collzamaster

•

Drapeau de

glendale, United States

•

il y a 28 jours

Partager

H

Python ML AI Azure • £25 GBP

Vishruth was an amazing teacher. He is really dedicated to the task that was set. It was a leasure working with him.

Hozefa A.

@huzefa721

•

Drapeau de

Stowmarket, United Kingdom

•

il y a 29 jours

Partager

Avatar de l'utilisateur

Python Reporting Backend Upgrade • $$$

Vishruth delivered outstanding work incredibly quickly, helping me a lot to meet a very tight schedule. He was responsive and present across different hours of the day and night, making collaboration seamless no matter my timezone. Professional, reliable, and a true expert. Highly recommend!

Roberto M.

@staff4m

•

Drapeau de

Rome, Italy

•

il y a 1 mois

Partager

R

Retail Analytics Project-2 • ₹11 000 INR

Excellent work, professional and supportive. Highly recommended.

Sid S.

@Recruit2024

•

Drapeau de

Petaling Jaya, Malaysia

•

il y a 1 mois

Partager

Expérience

Software Engineer

oct., 2023 - Présent

•

2 ans, 4 mois

General motors

oct., 2023 - Présent

•

2 ans, 4 mois

Working on tech stacks including Python, automation, scripting, Machine learning,Deep learning, flask, AWS,GCP

oct., 2023 - Présent

•

2 ans, 4 mois

Software Developer

juil., 2022 - juil., 2023

•

1 an

SellerX

juil., 2022 - juil., 2023

•

1 an

● Enhancing RPA product features using Python, RabbitMQ, and Selenium web driver ● Developing microservices for SP-API using Python ● Conducting research on SP-API orders, reports, inventory. ● Integrating NetSuite with Vaayu through Celigo and launching the production release ● Working on Alpaca, Llama2 model for implementing in Internal product for reviews check & optimisation in business model ● Time Series analysis for trends detection of prices of products using ARIMA model.

juil., 2022 - juil., 2023

•

1 an

Software Engineer

sept., 2021 - juin, 2022

•

9 mois

Vertisystem

sept., 2021 - juin, 2022

•

9 mois

● Implemented Python scripts for backend pipeline development to improve performance and scalability. ● Developed Python backend scripts for low-code product development. ● Leveraged the scheduler module in Python to enhance web scraping features on EC2. ● Developed automation scripts for pushing data to web portals using AWS cloud S3 bucket and deployed them end-to-end in Dev, QA, and Staging environments.

sept., 2021 - juin, 2022

•

9 mois

Formation

Visvesvaraya Technological University

2015 - 2019

•

4 ans

Engineering

Drapeau de

India

2015 - 2019

•

4 ans

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