Skip to content
View HP04Harsh's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report HP04Harsh

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
HP04Harsh/ReadMe.md

HARSH PARDHI


Typing SVG


Experience Current Focus


πŸ’Ό Professional Experience and Impact

As a Software Engineer at Hexaware Technologies, I bridge the gap between application development and modern infrastructure. I have shifted my focus toward an automation-first mindset, architecting intelligent, self-healing systems that minimize human toil. I specialize in provisioning secure cloud infrastructure with Terraform and Azure Policy, while integrating LangChain and LLMs to create conversational DevOps workflows. My goal is to build resilient, cost-optimized environments that scale effortlessly.


🎯 Strategic Goals and Targets (2026)

My Roadmap to Platform Engineering
πŸš€ Architecting: NLP-based infrastructure provisioning using LangChain and Python.
🐳 Mastering: Advanced Kubernetes Governance, Multi-Cluster Service Mesh, and Pulumi.
πŸ€– Pioneering: Scalable LLMOps pipelines and autonomous self-healing SRE agents.
πŸ“ˆ Optimizing: FinOps strategies to reduce cloud operational costs via precise IaC.

🌟 Featured Engineering Projects

πŸ€– InfraGenie

Architected an NLP-based platform using LangChain and Python to deploy Azure infrastructure via natural language, significantly reducing deployment time.

Python LangChain Azure

πŸ›‘οΈ AI-SRE Agent

Built an autonomous self-healing agent that intercepts Prometheus alerts and executes Python remediation scripts to reduce system downtime by 45%.

SRE Prometheus Python

πŸ’° FinOps Optimizer

Engineered an automated cost-tracking workflow that analyzes Azure resource tagging and usage patterns to optimize non-production cloud spend.

FinOps Terraform Azure

πŸ› οΈ Technical Arsenal

Category Technologies I Master
Cloud and OS Azure AWS Linux
Orchestration Kubernetes Docker Helm
IaC and Config Terraform Pulumi Ansible
DevOps and AI LangChain OpenAI AzureDevOps
SRE and Monitoring Grafana Prometheus

πŸ—οΈ Engineering Focus

πŸš€ Platform and Automation

  • Automating infrastructure with Terraform and Pulumi.
  • Enforcing security via Azure Policy and RBAC.
  • Architecting highly available Hybrid Cloud.
  • Reducing manual toil via CI/CD pipelines.

πŸ€– SRE and AI Systems

  • Developing Self-Healing AI Infrastructure.
  • Building Agentic AI for autonomous remediation.
  • Leveraging LangChain/LLMs for system analysis.
  • Establishing SLI/SLO/SLA for health monitoring.

πŸ“ˆ Contribution Velocity

Activity Graph


πŸ“© Connect With Me

Portfolio LinkedIn Email Me Medium LeetCode


Footer

Popular repositories Loading

  1. Harsh-Pardhi-CloudEngineer-Portfolio Harsh-Pardhi-CloudEngineer-Portfolio Public

    Modern Platform Engineering portfolio featuring Infrastructure as Code (Terraform), GitOps workflows, and glassmorphism UI design.

    HTML

  2. Grocery-Store Grocery-Store Public

    This a grocery template creating using html, css and javascript.

    HTML

  3. Javascript-interactivity-lab Javascript-interactivity-lab Public

    A responsive and interactive web application built with HTML, CSS, and JavaScript. This project demonstrates key frontend development skills, including user interface design, dynamic content render…

    CSS

  4. PowerBiReports PowerBiReports Public

    Interactive Power BI reports and dashboards showcasing data analysis and business insights. Includes dynamic visualizations, data transformation, and real-time updates for informed decision-making.…

  5. EDA EDA Public

    This repository contains various EDA projects showcasing the process of analyzing and visualizing datasets to uncover insights, patterns, and relationships. It includes data cleaning, preprocessing…

    Jupyter Notebook

  6. Predictive-churn-analytics Predictive-churn-analytics Public

    Machine learning analysis of customer churn patterns. Achieved 89% accuracy using XGBoost to analyze demographics and billing behaviors for Telco service providers.

    Jupyter Notebook