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Akash Deep

@akashdeep1

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Aspiring machine learning engineer building real-time, production-ready AI systems.

India

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What I'm looking for

I’m looking for an opportunity where I can build and deploy real-time ML/Computer Vision systems, improve performance to production standards, and work with cloud tools. I want a team that values testing, clean engineering, and continuous learning.

I’m an engineering student focused on turning machine learning and deep learning ideas into scalable, real-time solutions. I’ve worked on real-time ML model deployment and testing scalable approaches using cloud and edge resources through my “Summer Camp, Intelligent Systems and Smart Applications” experience.

My projects blend strong data and model evaluation fundamentals with practical engineering: I’ve built AWS-powered serverless ETL pipelines, evaluated and optimized codebases for real-time object tracking, and integrated Computer Vision workflows using OpenCV and PyTorch. I care about production standards—refactoring performance-critical modules, running code audits, and applying tools like Git/GitHub and AWS to deliver reliable results.

Experience

Work history, roles, and key accomplishments

Experience Summer Camp

Chandigarh University

Jun 2024 - Present (2 years 1 month)

Worked on real-time ML model deployment and tested scalable solutions using cloud and edge resources.

Real Time ML Deployment Cloud Computing Edge Computing Scalability

Education

Degrees, certifications, and relevant coursework

Chandigarh University

Bachelor of Engineering, Computer Science and Engineering

2022 - 2026

Grade: CGPA: 8.2

Activities and societies: Summer camp (June 2024): worked on real-time ML model deployment using cloud and edge resources. Publications/projects include an IEEE blockchain paper (May 2024) and an in-progress vision-based drone navigation research draft (ICIP 2025), plus AWS ETL pipelines and drone/video detection projects.

Pursuing a Bachelor of Engineering in Computer Science at Chandigarh University (Aug 2022–May 2026), with a CGPA of 8.2. Coursework covers Python/SQL, machine learning, deep learning (PyTorch/TensorFlow), computer vision (OpenCV), and generative AI (LLMs, embeddings, RAG).