Open to opportunities

Tarush Arya

@tarusharya

Message

Computer Vision Engineer with expertise in AI and trading algorithms.

India

Message

What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for growth in AI and computer vision.

I am a Computer Vision Engineer with two years of internship experience, including one year focused on computer vision and another year dedicated to developing real-time trading algorithms for the U.S. equity markets. My proficiency in Python, deep learning, and MLOps has enabled me to deliver impactful solutions, such as a live trading system that currently outperforms major U.S. equity benchmarks.

During my tenure at Tynor Orthotics, I successfully annotated over 50,000 images and deployed a YOLOv8 model that achieved a remarkable 93% mAP for defect detection. This system is now actively used in industrial settings, significantly enhancing real-time quality inspection processes. I thrive on challenges and am passionate about leveraging technology to solve complex problems.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Appreciate

Jul 2024 - Present (1 year 11 months)

Currently working on building a live trading system using AWS Step Functions that outperforms benchmarks. Launched a Customer 360 platform to unify various data sources and implemented machine learning risk filters.

AWS Python Docker Machine Learning Data Analytics

Computer Vision Engineer

Tynor Orthotics / Chitkara University

Jun 2023 - Jul 2024 (1 year 1 month)

Worked on annotating over 50,000 images and deployed a YOLOv8 model achieving 93% mAP. Developed a CNN system on Jetson Nano/AGX that reduced quality control time by 75%, currently used for real-time product inspection.

YOLOv8 CNN Quality Control

Education

Degrees, certifications, and relevant coursework

Chitkara University

Bachelor of Engineering, Computer Science (AI)

2021 - 2025

Grade: 9.1/10

Pursuing a Bachelor of Engineering in Computer Science with a focus on Artificial Intelligence. Achieved a CGPA of 9.1/10, demonstrating strong academic performance in the field.