01 / portfolio

Buildingthings thatactually work.

I’m Ashish Neupane — a Full-Stack Developer & ML Engineer from Kathmandu. I build robust APIs, performant Next.js products, and data-driven ML workflows that ship.

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02 Experience

ICT Nepal Pvt. Ltd.

2025 – 2026

Software Engineering Intern

  • Contributed to Boxsa, a production-grade e-commerce platform
  • Developed backend APIs using NestJS and frontend features with Next.js
  • Mentored 2 interns, reviewing 20+ pull requests and resolving technical blockers

DrFish

2023 – 2025

Co-Founder & Engineering Contributor

  • Built data ingestion and preprocessing pipelines for IoT sensor data
  • Applied ML-driven insights to improve system monitoring and decision-making
  • Integrated data analytics into backend systems across cross-functional teams

Ecstatic Paradox

2020 – 2022

Core Developer

  • Developed and executed simulation-based software systems
  • Managed runtime environments and debugged system-level issues
  • Maintained modular, version-controlled codebases
03 Selected Projects

Project 001

ElixirStreamlitCompiler Design

SQL Query Parser using SLR(1)

Designed and built a SQL-like parser with complete lexical analysis and deterministic SLR(1) parsing. Implemented grammar validation with FIRST/FOLLOW analysis and reduced parsing conflicts to zero in the final parse table.

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Project 002

PythonStable DiffusionControlNetPyTorch

AI-Styled Spaces: Dynamic Interior Redesign

Built an image-to-image redesign workflow with Stable Diffusion, ControlNet Canny, and inpainting. Preserved structural layout while enabling targeted object-level edits and improved realism using LoRA fine-tuned checkpoints.

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Project 003

PythonTensorFlowLibrosaAudio ML

Guitar Chord Classification System

Engineered an end-to-end audio ML pipeline for multi-class guitar chord recognition using spectrogram-based features. Reached 80.62% test accuracy through iterative model tuning and evaluation.

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Project 004

C++OpenGLGraphics

2D Raytracing Engine

Developed a three-stage simulation using C++ and FreeGLUT to demonstrate light transport and spatial rendering. Implemented line-line intersection algorithms for real-time collision detection and a pseudo-3D engine that projects 2D ray data into a 3D perspective environment.

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Project 005

KafkaApache SparkDatabricksStreamlit

NASA Log Anomaly Detection Pipeline

A production-style streaming data engineering + observability system that ingests NASA HTTP logs, processes them in real time using Kafka and Spark Structured Streaming, stores them in Delta Lake, and visualizes anomalies through a Streamlit mission-control dashboard.

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03 Technical Stack

I work across backend engineering, web product delivery, and ML systems with a strong focus on maintainability and performance.

My toolkit is strongest in TypeScript/Python ecosystems, modern API architecture, and practical data workflows.

Languages

  • Python
  • TypeScript
  • JavaScript
  • Golang
  • C++

Backend & APIs

  • Node.js / ExpressJS
  • NestJS
  • FastAPI
  • PostgreSQL
  • Redis
  • REST APIs / GraphQL

AI / ML & Data

  • SQL
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • OpenCV
  • Apache Spark
  • Pandas & NumPy

Tools & Cloud

  • Git
  • Docker
  • Databricks
  • Linux
  • AWS (EC2, S3, API, Gateway, IoT)
04 About

I’m pursuing a BE in Computer Engineering at Kathmandu University (2021–2026), with a focus on scalable software, IoT, and applied ML.

I’ve also built systems in AI imaging, compiler-oriented parsing, and audio classification, and I’m energized by turning difficult technical ideas into reliable products.

5+
Years Experience
10+
Projects Built
4
Major Awards
3+
Enterprise Systems
05Let's Talk

Open
to new
opportunities.

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