TOOLS AND TECHNOLOGY EXPOSURE

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  MLOps

  Experience in automating Highly Scalable infrastructure for Machine Learning workflows.

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  RAG

  Specialized in Retrieval-Augmented Generation (RAG) pipelines for building advanced AI solutions that combine large language models with real-time, domain-specific data retrieval for accurate and context-aware responses.

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  Agentic AI(N8n)

  I design autonomous agents that integrate large language models with real-time data, enabling dynamic decision-making, automated actions, and seamless interaction across cloud and enterprise systems.

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  Scikit-learn

  Proficient in using Scikit-learn, the essential Python library for classical machine learning, to implement a wide range of algorithms for classification, regression, clustering, and dimensionality reduction in various data science projects.

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  Pytorch

  Proficient in using Pytorch, a powerful open-source machine learning library, to build and train deep learning models for various applications, including computer vision and natural language processing.

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  K-Nearest Neighbors (KNN) & Random Forest

  Proficient in using K-Nearest Neighbors (KNN) and Random Forest algorithms for classification and regression tasks, leveraging their strengths in handling complex datasets and providing accurate predictions.

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  RAG with Amazon Bedrock

  Retrieval-Augmented Generation (RAG) techniques with Amazon Bedrock to enhance the capabilities of generative AI models, enabling them to access and utilize external knowledge sources for improved context and accuracy.

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  Prophet & Darts

  Proficient in using Prophet and Darts for time series forecasting, enabling accurate predictions and insights for various business applications.

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  Catboost

  Proficient in using Catboost for time series forecasting, enabling accurate predictions and insights for various business applications.

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  Automated Infrastructure

  Experience in automating Highly Scalable infrastructure .

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  Linux

  A powerful, open-source operating system known for its security, stability, and flexibility.

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  Amazon Web Services

  A leading cloud platform offering scalable, reliable, and cost-effective infrastructure and services for businesses of all sizes.

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  GCP

  I have hands-on experience with Google Kubernetes Engine (GKE) and am currently participating in Google's Gen AI Exchange Program to further deepen my expertise in cloud-native and AI technologies.

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  Microsoft Azure

  I Earned 117 badges and 22 trophies on Microsoft Learn, highlighting my expertise in Azure and Azure pipelines.

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  Go Lang

  I successfully migrated an entire PHP application to Go, implementing 20 microservices to showcase my expertise in backend migration and development.

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  Python

  A versatile and popular programming language known for its simplicity, readability, and extensive libraries, perfect for web development, data analysis, and automation.

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  Docker

  A containerization platform that simplifies application deployment by enabling consistent environments across development, testing, and production.

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  Kubernetes

  An open-source orchestration system for automating the deployment, scaling, and management of containerized applications.

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  CI-CD

  A suite of AWS services and tools enabling continuous integration and continuous delivery (CI/CD) pipelines, facilitating automated software delivery from code commit to deployment.

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  Terraform

  An infrastructure as code tool by HashiCorp, Terraform simplifies and automates provisioning and management of cloud infrastructure across multiple providers with declarative configuration files.

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  Jenkins

  An open-source automation server used for continuous integration and continuous delivery (CI/CD), enabling developers to automate build, test, and deployment processes across various platforms.

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  Ansible

  A powerful open-source automation tool used for configuration management, application deployment, and task orchestration, facilitating efficient IT infrastructure management across servers and environments.

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  Git and Github

  1)Git: Version control system for tracking code changes and enabling collaboration.
  2)GitHub: Web-based platform hosting Git repositories for collaborative software development.

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  Github Actions

  I have hands-on experience in implementing CI/CD pipelines using GitHub Actions for seamless automation and deployment.

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  AWS CICD

  Automated software release pipelines on AWS, from code repository to deployment, ensuring efficient and reliable delivery.

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  Grafana

  I have expertise in using Grafana for monitoring, visualizing metrics, and setting up real-time alerts to ensure system reliability.

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  Prometheus

  I have experience with Prometheus for monitoring, collecting time-series data, and setting up alerts to track system performance and health.

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  Elastic Search

  I have experience with Elasticsearch for powerful search, real-time analytics, and indexing large volumes of data for efficient querying and insights.

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  Redis

  Redis for in-memory data storage, caching, and improving application performance through fast, scalable data retrieval.

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  Django

  Django for building robust, scalable web applications with efficient backend frameworks and seamless database integration.

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  Flask

  Flask for developing lightweight, flexible web applications with a simple and extensible framework for Python-based backends.

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  Gin

  Gin for building high-performance, lightweight web applications in Go, leveraging its fast routing and middleware capabilities.

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  Mongo Database

  A leading NoSQL database known for its flexibility, scalability, and high performance, designed to handle unstructured data in modern applications with ease.

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  My SQL

  A popular open-source relational database management system (RDBMS) known for its reliability, performance, and ease of use, widely used for web applications and enterprise solutions alike.