KRISHNA PRAVESH

Tirunelveli

Summary

Software Engineer proficient in .NET, Ember.js with a sharp presence of mind. A rapid learner who thrives on turning ideas into clean, functional code.

Overview

years of professional experience

Work History

Software Engineer

AdminDroid

Chennai

08.2024 - Current

Configured Kubernetes environment for seamless deployment of all services on bare-metal infrastructure.
Developed reusable temporal worker templates to streamline execution of background jobs.
Constructed centralized logging pipeline with Redis streams and ClickHouse, enhancing security audits and telemetry collection.
Scaled logging solution to accommodate large log volumes across multiple services, enhancing data processing capabilities.
Optimized file logging, reducing I/O usage by 10% through advanced file locking and batching techniques.

Education

Bachelor of Technology - Information Technology

Karpagam College of Engineering

Coimbatore, Tamilnadu

05-2024

High School -

St. John's Higher Secondary School

Tirunelveli, Tamilnadu

04-2020

Skills

Languages: C#, Java, HTML/CSS, JavaScript, SQL
Developer Tools: VS Code, Postman
Technologies/Frameworks: NET core, Emberjs, Git/GitHub, RESTful APIs, JDBC, Kubernetes

Kubernetes configuration
Centralized logging
Container orchestration

Projects

Sewage Hazardous Gas Detection, Dashboard | Angular, Firebase, Node.js, Sep 2023, Collaborated with a multidisciplinary team of students as part of the Smart India Hackathon., Developed an interactive dashboard using Angular and Firebase to fetch sensor readings in real-time, ensuring up-to-date data visualization., Developed a minor backend for SMS service with Node.js and built a http server using fastify.
Course Feedback Survey | Node.js, Express, MySql - ?, Aug 2023, Developed a software for my college to receive feedback from students for each course they have enrolled., Converted the existing PHP-based system to Node.js, improved Ui and decreased latency., The software is currently deployed in my college server and used by all the departments.
Sales Forecasting Application | Python, flask, Angular, March 2023, Developed a web app where user can give their past sales data and predict for the next ‘n’ months/days/weeks., Used Angular for front end and flask as a server ., Prediction was done using SARIMA and Exponential Smoothing Machine learning models.

Leadership / Extracurricular

Placement coordinator

Part of the student volunteer team in college placement department.

Coordinated On-campus drives.

Student Instructor

Took Data structures and Computer science classes for juniors in college.

Timeline