Summary
Work History
Education
Skills
Projects
Timeline
Generic

Utkarsh Priyadarshi

Pune

Summary

Hello, I am Utkarsh. I am a results-driven software developer with expertise in modern web technologies across the full stack. I create scalable, responsive applications using JavaScript frameworks for front-end experiences, complemented by robust back-end services and databases. Additionally, I bring valuable DevOps capabilities, implementing CI/CD pipelines, containerization solutions, and infrastructure automation that streamline development workflows and improve deployment reliability. My development approach prioritizes clean code principles, comprehensive testing, and forward-compatible architecture that adapts to evolving requirements.

Work History

DevOps Intern

IDeaS
Pune
01.2024 - 06.2024

Database Migration Pipeline

  • Designed and implemented an automated pipeline for Windows to Linux VM database migration using Golang.
  • Reduced manual errors in the migration process significantly.
  • Decreased migration time from 2 to 3 hours to approximately 10 minutes.

Production Database Monitoring

  • Established a comprehensive monitoring system for production database restoration from Commvault using Go.
  • Eliminated the need for manual database status verification.
  • Fully automated the database restoration process from Commvault, improving operational efficiency.

VM Management Solution

  • Developed a sophisticated VM management solution with real-time container monitoring via WebSocket.
  • Implemented a Docker resource visualization dashboard for images, containers, volumes, and networks.
  • Created an interactive file explorer for efficient container file system inspection.
  • Built a web-based terminal interface for direct container interaction using React and FastAPI.

Education

B.Tech - CSE

Dr. Vishwanath Karad MIT-WPU
01.2024

HSC -

JVM Shymali
01.2019

SSC -

DAV Urimari
01.2017

Skills

Programming languages:

  • JavaScript
  • TypeScript
  • Java
  • Golang
  • Python

Frameworks

  • ReactJS
  • Express,
  • Django,
  • Flask
  • FastAPI
  • Gin
  • LangChain

Databases

  • Redis,
  • MongoDB
  • PostgreSQL
  • SQLite

DevOps Tools

  • Git
  • Docker
  • Kubernetes

Projects

Automotive Training and Workforce Analytics DSS

  • Transformed workforce development at Skoda, VW, and Audi by processing over 200,000 training records into actionable insights
  • Reduced analysis time from days to minutes through intuitive, interactive dashboards and visualizations
  • Implemented role-based access control allowing executives to see high-level metrics while team managers access team-specific data

GEP: AI-Powered Code Search

  • Combines semantic understanding with traditional search capabilities to enable natural language queries of codebases
  • Uses vector embeddings and LLMs to understand code conceptually, and query to find any type of code
  • Features incremental indexing to efficiently handle repositories of any size, with automatic updates

ProgChain - AI-Powered Programming Education

  • Creates personalized learning paths that adapt to each user's individual strengths and learning styles
  • Leverages AI to create an endless stream of content, like TikTok, based on user reading patterns
  • Implements vector embeddings to build a complete mental model of what concepts users understand

Enigma Language Explorer

  • Created a JavaScript-like language with its own interpreter from scratch
  • Visualizes programming language internals through interactive displays of lexical analysis, parsing, and evaluation
  • Shows the direct connection between source code and execution through step-by-step visualization
  • Demystifies language implementation by allowing users to see how code transforms from text to a running program

Microservices Orchestration Platform

  • Implements core Kubernetes concepts from scratch to provide insight into container orchestration mechanics
  • Features intelligent scheduling, service discovery, and self-healing capabilities for container management
  • Designed as a learning focused tool to understand kubernetes from first principles

Timeline

DevOps Intern

IDeaS
01.2024 - 06.2024

B.Tech - CSE

Dr. Vishwanath Karad MIT-WPU

HSC -

JVM Shymali

SSC -

DAV Urimari
Utkarsh Priyadarshi