Open to opportunities

Kaushal Kaushik

@kaushalkaushik

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I’m an entry-level software engineer focused on AI-driven full-stack and computer vision.

India

Message

What I'm looking for

I’m looking for a role where I can build scalable full-stack features and real-time AI/vision systems. I want to work with concurrency, distributed back-ends, and cloud tooling, while growing from internship-level projects into production impact.

I’m a Computer Science & Engineering (AI & Machine Learning) student and software engineering intern who builds AI-powered, real-time applications. At Edunet Foundation, I architected and deployed a full-stack automated attendance system using facial detection and recognition, reducing manual logging effort by approximately 100%.

I also designed a concurrent facial recognition pipeline with OpenCV, optimized frame throughput using multi-stage preprocessing and multi-thread coordination, and implemented a reliable back-end data layer for sub-second query response across date ranges. Beyond that, I’ve built AI/vision projects like a TensorFlow + OpenCV leaf disease detector and a scalable interview platform with real-time evaluation; I even engineered a high-performance C++ multi-threaded Deep Packet Inspection engine for low-latency traffic analysis and rule-based filtering.

Experience

Work history, roles, and key accomplishments

Software Engineering Intern

Edunet Foundation

Nov 2024 - Dec 2024 (1 month)

Architected and deployed a full-stack automated attendance app using real-time facial detection and recognition, reducing manual logging effort by approximately 100%. Designed a concurrent OpenCV-based recognition pipeline and implemented a reliable back-end data layer to persist attendance records with sub-second date-range query responses.

Python OpenCV Facial Recognition Full Stack RESTful APIs Concurrent Performance Optimization

AI Engineering Intern (Virtual)

IBM SkillsBuild

Jun 2024 - Jul 2024 (1 month)

Completed a structured AI/ML curriculum covering neural networks, supervised and unsupervised learning, and model evaluation methodologies. Applied learned algorithms to prototype classification and clustering solutions on real-world datasets.

Machine Learning Neural Networks Supervised Learning Unsupervised Learning Model Evaluation Classification Clustering

Education

Degrees, certifications, and relevant coursework

Shri Vishwakarma Skill University

B.Tech, Computer Science & Engineering (AI & Machine Learning)

2023 - 2027

Grade: 7.55 / 10

Pursuing a B.Tech in Computer Science & Engineering (AI & Machine Learning), focusing on core CS and AI/ML coursework including machine/deep learning and computer vision. Relevant coursework also includes data structures, DBMS, operating systems, and distributed systems.