Open to work & collaborations

Hi, I'm Amrit.
I engineer & research
with AI.

Final-year B.E. student in Electronics, Communication & Information Engineering at IOE Thapathali Campus. Passionate about machine learning, computer vision, and building systems that actually work.

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amrit@portfolio ~ bash

Areas of expertise

Machine Learning Deep Learning Computer Vision Person Re-ID Data Engineering Full-Stack Dev Embedded / IoT Research

0 GitHub Repos

0 Peer-reviewed paper

0 Engineering Backs

∞ Enthusiasm to learn

A brief, honest portrait.

Narrative / 01

I'm a final-year B.E. student at IOE Thapathali Campus, building expertise at the intersection of AI/ML research and practical engineering.

From training re-identification models on multi-camera feeds to architecting end-to-end cloud data pipelines on Azure, I love the full stack — from hardware to model to deployment. I have a published paper on water quality prediction using XGBoost and explainable AI, and I’m currently focused on independent AI/ML and engineering projects.

Machine Learning
Computer Vision
Data Engineering
Embedded Systems
Full-Stack Dev

More about me arrow_forward

0 Years of coding

0 Featured projects

0 Published research papers

Currently

📍 Bharatpur, Nepal

🎓 IOE Thapathali Campus (2022–2026)

💼 Open to Work and Collaborations

II.

Tools of the trade.

Stack / 02

code

Languages

Python · C · C++ · JavaScript · HTML5 · CSS3 · SQL

neurology

ML & AI

PyTorch · TensorFlow · Scikit-Learn · CNNs · Transformers · Person Re-ID · XGBoost · SHAP

stacks

Web & Backend

FastAPI · React · Node.js · Express.js · PostgreSQL · Tailwind CSS · REST APIs

cloud

Data & Cloud

Azure Data Factory · Databricks · PySpark · Synapse Analytics · Power BI · Pandas · NumPy · Seaborn

memory

Hardware & Embedded

ESP32 · Arduino · LiFi Systems · AES-128 · Reed-Solomon · Jupyter · Git

database

Foundations

DSA · OOP · OS · Computer Networks · DBMS · System Design · Postman · VS Code

III.

Selected works.

Archive / 2023–2026

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Person Video Segmentation & Re-Identification

End-to-end pipeline — YOLO detection, ByteTrack multi-object tracking, and OSNet appearance embeddings for cross-camera person re-ID and video segmentation.

PyTorchYOLOComputer VisionTracking

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