Arsh Ergon

Built and shipped full-stack web apps, internal tools, and automation systems for SMB clients via my agency. Delivered end-to-end projects across frontend, backend APIs, databases, and deployment. Rebuilt a school portal with better performance and workflows, developed a fee system for 500+ students, automated clinic workflows (-70% improve), and optimized app performance with SSR and caching.

Contributed to production ML systems with a focus on tooling, pipeline efficiency, and remote collaboration.
Optimized Llama-2 fine-tuning workflows using QLoRA, reducing memory overhead by 50%.
Integrated retrieval workflows with embeddings and LLM APIs to improve response relevance.

Supported engineering process improvements across testing, debugging, and code review practices.

Worked on open-source ML infrastructure through the Ivy transpiler ecosystem.
Implemented reusable tensor operations and contributed to interoperability across TensorFlow, PyTorch, and JAX.
Improved performance of sorting-related logic through low-level refactoring.

Delivered 10+ freelance projects for NGOs and SMBs while completing my bachelor’s degree. Built web apps using Django, PostgreSQL, and modern JS. Developed school systems and client sites with dashboards, reporting, and notifications. Managed projects end-to-end and built strong client relationships, leading to repeat work.

Master of Computer Applications with focus on data structures, system design, distributed systems patterns, and advanced Rust programming; prepared for ML engineering roles.

Focused study program in data structures, algorithms, and system design fundamentals to prepare for technical interviews and ML engineering roles.

Bachelor of Technology in Information Technology completed concurrently with freelance development, delivering production systems and serving 50+ global clients.