01 // Introduction

Aaryan Kurade

Machine Learning Engineer

02 // Profile

About Me

I am an ML Engineer specializing in the end-to-end development and deployment of computer vision systems. I have a proven ability to architect robust AI/ML pipelines, containerize models for scalable inference via APIs, and integrate ethical considerations and explainability into the core of a project. I am passionate about building responsible and transparent AI solutions.

03 // Career

Experience

Machine Learning Engineer - Intern

Utopia Optovision Pvt. Ltd.
Jan 2024 - Jan 2025
  • Engineered and Deployed an automated text extraction system using YOLO and PaddleOCR.
  • Applied advanced computer vision approaches by leveraging OCR and object detection (15% accuracy boost).
  • Streamlined data processing workflows, reducing manual effort by 20%.

Software Engineer

Arakoo.ai
Aug 2025 - Nov 2025
  • Worked on voice models for tasks like Speech Recognition, Speaker Diarization, Voice Activity Detection and ASR.

04 // Portfolio

Selected Projects

Deepfake Detection

PyTorch pipeline achieving 91.2% accuracy with Grad-CAM integration for explainability.

PyTorch FastAPI Docker XAI
View on GitHub →

Video Anomaly Detection

Production-grade autoencoder system (92.5% precision) for real-time CCTV analysis.

PyTorch Autoencoder MLOps
View on GitHub →

Visual Search Engine

Sub-100ms latency search for 100k+ fashion images using CLIP and FAISS.

CLIP FAISS Streamlit
View on GitHub →

05 // Stack

Technical Arsenal

Languages & Core

  • Python
  • SQL / MySQL

AI Frameworks

  • PyTorch
  • OpenCV
  • TensorFlow
  • LangGraph
  • Tableau

Deployment / MLOps

  • Docker
  • FastAPI
  • GCP
  • Git & CI/CD
  • Streamlit

Specialization

  • Computer Vision
  • NLP
  • LLMs / VLMs
  • 3D Vision
  • OCR
  • Object Detection/Instance Segmentation/Pose Estimation/Image Classification

06 // Background

Education

MIT World Peace University

B.Tech, ECE - AI/ML

Jun 2021 - Jun 2025

Pune, India