krishmakhijani.com

Krish Makhijani

Currently coding
with

Hey 👋 Krish here! I am a Student ,Intern at @GaidoAI and Ex Intern @Samsung . I build web applications, backend servers, and ML models.

Languages: C, C++, Java, Python, Javascript, Typescript, Bash

Frontend: React, Next.js, Tailwindcss, Framer motion, Shadcn

Backend: Node, Bun, PostgreSQL, MongoDB, Prisma, Drizzle, Redis, Apache Kafka, AWS, DigitalOcean, Hono, Express, Flask

DevOps: Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, Ansible, Grafana, Prometheus

WEB3: Solana, Etherium, Smart Contracts, Solana Wallet Provider, Solana Mobile Wallet Provider

Machine Learning: PyTorch, Tensorflow, OpenCV, Yolo, LangChain

Tools: Git, BitBucket

Discord Status

Conducted By - Oracle

  • Earned Oracle Cloud Infrastructure Generative AI Certified Professional certification, showcasing expertise in Generative AI on Oracle Cloud Infrastructure.
  • Developed skills like advanced language comprehension for building the next generation of enterprise applications

Certified as Postman API Fundamentals Expert

21st April 2024 - 23rd April 2024

Conducted By - Postman

  • Earned Postman API Fundamentals Student Expert certification, demonstrating proficiency in API and Postman basics.
  • Developed skills through micro-credentials, stackable pathways, and portable learner records
  • Became part of a global student community, enriching my software development career.

Secured 3rd Position in Synapse 2.0

21st April 2024 - 23rd April 2024

Conducted By - Hack2Skill

  • Built a Flask API with RoboFlow's YOLOv8 and OpenCV for image and Base64 URL conversion.
  • Developed a scalable Next.js website in a Docker environment.
  • Ensured optimized performance and easy management.

Secured 1st position in Pentathon 2024

12th Feb 2024 - 13th Feb 2024

Conducted By - Bajaj Finserv

  • Radix AI detects anomalies in radiology images and provides coordinates.
  • Flask server uses OpenCV for ROI creation and relays the modified image to a React app.
  • Flask server employs an LLM for contextual analysis of the image and anomalies