Lakshay G. Profile

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$10 USD / saat

new delhi,

india

$10 USD / saat

Şu anda burada saat 4:55 ÖS

Ekim 20, 2019 tarihinde katıldı

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Lakshay G.

@lakshaygola

0,0

(0 değerlendirme)

0,0

$10 USD / saat

new delhi,

india

$10 USD / saat

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Tekrar İşe Alınma Oranı

DevOps | Software Developer | Automation

With a Bachelor's degree in Computer Science and over 3 years of industry experience, I bring a wealth of expertise to the table. As a versatile professional, I've excelled in a variety of roles with a robust skill set spanning Python, JavaScript, and C++, and from backend engineering to DevOps orchestration, delivering impactful solutions across diverse projects. Expertise Frontend: HTML, CSS, ReactJS, Redux Backend: Python, JavaScript, Django, Flask, NodeJS Data Science: Machine Learning, TensorFlow, PyTorch, Web Scraping Database: SQL (MySQL, PostgreSQL), NoSQL (MongoDB) DevOps: Git, Docker, Kubernetes, Terraform, Nginx, Apache, Jenkins, AWS Additionally, I've spearheaded automation initiatives, crafting sophisticated data pipelines using Python to optimize workflows and enhance productivity.

Javascript Developers freelancerlarından India içinden olanlarının tümünü görün.

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Portföy

10953436

Project goal
Develop a data pipeline to automate the trust administration tasks with a customizable workflow. The responsibilities of the data pipelines are:
1) Update the salesforce instance with the latest market data.
2) Apply data masking.
3) Integrate the data modification logic.
4) Create the data lake on AWS.
5) Secure data transmission over the different steps of the data pipeline.
Solution
Build and design the data pipeline which extracts the data from multiple data sources and stores it in SQL data warehouses. I designed an effective system that can handle multiple data requests and update the data from different sources in a more effective, secure, and faster manner. The pipeline I built is 60% faster than the Talend pipelines.
Integrated logging system that logs the process in CSV file and the database and helps the client to monitor data pipeline in a more detailed manner.
Build a platform from where the client can apply masking and data modification on the raw data.

ETL data pipeline for manageing finance data.

Developed a website for a resource management company called Usability Hub.
With the Trendy tech stack, we created a website that is robust, optimized, and has a user-friendly UI using React JS and Redux.
Build a restful API application that uses multipurpose APIs using Django and Postgres SQL as a database.
Deployed a complex web application leveraging Docker containers, Kubernetes orchestration, and Nginx web server on an AWS cloud infrastructure. Streamline the deployment process, enhance scalability, and improve overall system reliability.
As an additional feature, we integrated the AI chatbot that can interact with the user and improve user interaction

Website development using ReactJS, Django, Nginx, Docker

I led the development and deployment of a dynamic and scalable web application, seamlessly integrating modern frontend and backend technologies. The project utilized ReactJS for frontend and Django for backend, Docker for containerization, Nginx for web serving, and AWS EC2 for hosting.
ReactJS Frontend: Developed a responsive and interactive user interface using ReactJS, providing a seamless browsing experience across devices and screen sizes.
Django Backend: Built a robust and efficient backend system with Django, incorporating RESTful APIs for data exchange and business logic implementation.
Docker Containerization: Utilized Docker to containerize both the frontend and backend components, ensuring consistency and portability across different environments.
Nginx Web Server: Configured Nginx as a reverse proxy to efficiently serve static files, handle HTTP requests, and manage traffic distribution to backend services.
AWS EC2 Deployment: Deployed the web application on an AWS EC2.

Web developement using ReactJS, Django, Docker, Nginx

Built a website that is robust designed and optimized for every type of device. The website is built on ReactJS and redux for the front end, and Django for the scalable backend.
Application is deployed on AWS EC2 instance using docker for containerization and Nginx for web serving and I am using best norm for security purposes.
This website implements on best practices for SEO, that help the client to display their website in the top Google search results.
Key achievements:
Seamless Integration: Successfully integrated ReactJS frontend with Django backend, enabling smooth data flow and interaction between the client and server sides.
Efficient Deployment: Utilized Docker and Nginx for streamlined deployment, optimizing resource utilization and enhancing system performance.
Scalability and Reliability: Deployed the application on AWS EC2, ensuring scalability to accommodate varying loads and high availability to minimize downtime.
User Satisfaction: Received positive feedback from users

Full stack website using ReactJS, Redux, Django, Nginx.

Developed a state-of-the-art and optimized model that can generate animated faces using AI.
This model takes human faces photos to process data utilizing that it generate animated faces that are new to this world. According to our benchmark, this model is better than 60% of the generative models out there in the case of generating animated Images.
You can configure the model and also generate AI videos using this image.
Technologies we are using in this are -> SQL, Python, PyTorch

AI Generative model that generate an animated faces

10953436

ETL data pipeline for manageing finance data.

Website development using ReactJS, Django, Nginx, Docker

Web developement using ReactJS, Django, Docker, Nginx

Full stack website using ReactJS, Redux, Django, Nginx.

AI Generative model that generate an animated faces

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Deneyim

Hexaview Technologies Private Limited

Tem 2022 - Haz 2024 (1 yıl, 11 ay)

Successfully automate 80% of data administrator tasks while considering data integrity and security. Set up and maintained a 99% uptime of a network of 20+ Unix servers. Worked with the backend team to create database architecture to help them reduce by 10% data redundancy. Coded Restful APIs that can perform async operations and handle multiple requests at a time. Created and maintained automated CI/CD pipelines for code deployment using Jenkins, able to eliminate 70% of manual work.

Travstack

Mar 2022 - May 2022 (2 ay, 1 gün)

Redesign the user interface of an application. Worked with the backend engineer team to build Restful APIs and helped the team to improve data fetching APIs by 18%. Maintained large database warehouses and configure services to reduce software maintenance expenses, decreasing costs by 15% within one year. Integrate third-party APIs with the platform and resolve the 20% API integration problems. Worked on the improvement of security and data protection, increasing an overall security rate by 24%.

Incipient Technologies Private Limited

Ağu 2021 - Kas 2021 (3 ay, 1 gün)

Worked on real-time movement tracking system module using regularization techniques to scale the accuracy by 5%. Reengineered their backend system that helped a client to reduce overall rendering by 20%. Helped the team to build an employee time tracking system using state-of-the-art transfer learning techniques Improve the application's UI, which speeds up the software by 5 - 7%. Worked closely with the DevOps team in the deployment of the project over the AWS EC2 instance.

Eğitim

Bachelor of Technology In Computer Science

Guru Gobind Singh Indraprastha University,

India

2018 - 2021

(3 yıl)

Nitelikler

Udemy

2019

Learn how to generate data reports. Understand how to find insight from past data. Learn how to analyze the data and how useful it is for businesses.

Yayınlar

Intrusion Detection System

International Journal of Pervasive Computing and Communications

This system helps us to detect anomaly behavior or intrusion and alerts the system. It detects the intrusion and type of it and then alerts the system about the intrusion which can happen in their network. The system sends alerts to data administration about the intrusion.

Crypto currency price prediction

Medium

This blog I wrote provides information about model architecture and how long short-term memory works for the data engineer community. This model is created on time series data to predict the future trend in the price of the cryptocurrency.