Profile & Background

Khushan Borse

Aspiring AI/ML Engineer focusing on deep learning systems, computer vision, and parameter-efficient language models.

Ahmedabad, India·khushanborse2@gmail.com·khushaniitram

Overview & Philosophy

Building practical, high-efficiency intelligence.

Computer Science undergraduate with practical experience in deep learning, satellite imagery analysis, and language model fine-tuning. Dedicated to building computationally efficient machine learning systems with real-world impact.

01 / VISION

Pixel-Level Segmentation

Custom boundary fusion for fine-grained spatial land cover delineation.

02 / LLM

PEFT & LoRA Tuning

Accelerated instruction tuning on Qwen 2.5 with reduced VRAM footprint.

03 / FOUNDATIONS

Neural Architectures

Raw PyTorch tensor, embedding, and autograd generation pipelines from scratch.

Education

B.Tech in Computer Science

2024 – 2028

Institute of Infrastructure, Technology, Research and Management (IITRAM) · Ahmedabad, Gujarat

Key Focus: Data Structures & Algorithms, Object-Oriented Programming (C++), Linear Algebra, Probability & Statistics for Machine Learning, Database Systems.

Campus Appointments

STUDENT CLUB2025 – PRESENT

Core Team Member

Coding Club, IITRAM

STUDENT GOVERNANCE2026 – PRESENT

Technical General Secretary

Student Activities Council (SAC), IITRAM

Core Toolset & Frameworks

Technologies leveraged across production systems and research.

PyTorchPEFT / LoRASegmentationUNetUnslothPythonC++SQLGit & GitHub