Anish Shilpakar JuJu2181

Hello There, I'm Anish Shilpakar 👋

💻 Senior Software Engineer working in Data & AI, with 3+ years of industry experience building production-grade data and AI systems across healthcare, banking, and telecommunications.
🔬 Interested in exploring practical research problems at the intersection of Artificial Intelligence, Natural Language Processing, and real-world applications.
🧠 My research experience includes speech recognition, speech processing, and NLP, particularly for low-resource languages such as Nepali.
🏥 Currently exploring AI applications in healthcare, including medical speech recognition, clinical documentation, and privacy-preserving AI systems.
🎓 Actively involved in supervising undergraduate research projects, with an interest in experimental design, model evaluation, and applied AI research.
🌱 Passionate about bridging the gap between academic research and real-world AI applications.
📖 Apart from coding, I love reading books and journalling.
📔 Read My Blogs Here: AN!SH WR!TES
👨‍💻 All of my projects are available at https://github.com/JuJu2181
📫 How to reach me contact@shilpakaranish.com.np
📄 Know about my experiences Anish Shilpakar LinkedIn

It's important to draw wisdom from many different places. If we take it from only one place it becomes rigid and stale. ~ Iroh(ATLA)

Data Engineering & Architecture: Designing scalable ETL/ELT pipelines, data integration workflows, and distributed data processing architectures.
Cloud Data Platforms: Building and managing data solutions across AWS, Azure, and GCP, including cloud-native and hybrid infrastructure.
Big Data & Distributed Systems: Working with technologies for large-scale data processing, orchestration, streaming, and analytics.
AI & LLM Engineering: Developing production-oriented AI applications, including RAG systems, natural-language interfaces, intelligent recommendation systems, and LLM-powered workflows.
Data Security & Governance: Implementing access control, secrets management, authentication, and policy-based authorization for enterprise data systems.
Technical Leadership: Leading engineering initiatives, mentoring team members, and contributing to the architecture and delivery of production systems.

Currently researching and exploring trustworthy and responsible AI and Human Computer Interaction.
Medical Speech-to-Text for Clinical Dictation (In Progress): Developing speech recognition pipelines for clinical documentation, focusing on medical terminology, real-time transcription, and patient-data privacy.
Music Source Separation for Newari Traditional Instruments: Exploring U-Net and GAN-based approaches for separating traditional Newari musical instruments using a self-curated dataset. Received the Best Abstract Award (Computer Science Track) at KHWOPA CEEL 2026.
Nepali Speech Recognition & Summarization: Developed and evaluated deep learning-based speech recognition and NLP pipelines for automatic Nepali transcription and summarization.
Automatic Nepali Number Plate Recognition System: Developed a system that detects Nepali number plates from vehicles and then recognizes the number in the number plates.
Nepali–English Code-Switched Speech Translation: Supervising research exploring multilingual and code-switched speech translation using modern speech models.
Nepali OCR & Document Processing: Exploring AI-based approaches for optical character recognition in human written texts and document understanding.

Interested in research collaborations and exploring meaningful applications of AI through rigorous experimentation and practical innovation.