SYSTEM NOTIFICATION
Zenith Rai
AVAILABLE FOR OPPORTUNITIES
SYSTEM_NODE: KATHMANDU_NEPAL // 27.7172° N, 85.3240° E

I'M ZENITH RAI

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zenith_rai.profile.exe — bash [LIVE] SYS_OK
DOWNLOAD CV (PDF) EXPLORE PROJECTS INITIATE CONTACT
CNN RETINAL ACCURACY
0%
4-Class Classification
DATASET VOLUME
0
Fundus Images Trained
PREDICTION R² SCORE
0
Vehicle Price Valuation
TU CSIT SEMESTERS
0
126+ Credit Hours
SECTION_02 // SYSTEM_BUILDS

FEATURED PROJECTS

Engineering production-grade AI pipelines, RAG systems, deep learning diagnostics, and modular backend APIs.

PRIVATE REPOSITORY

Production RAG Chatbot Platform

ZENITH-RAI / rag-chatbot-platform

Modular enterprise RAG system featuring multi-stage document ingestion, dense-vector embeddings, and BM25 hybrid search. Fully containerized with Docker Compose across cache, API, and vector database nodes.

FastAPI LangChain ChromaDB Llama 3 Hybrid BM25 Docker PostgreSQL
VIEW ARCHITECTURE & DEMO GenAI / LLM
GITHUB REPO

Enterprise E-Commerce REST Engine

ZENITH-RAI / ecommerce_backeendprj

High-throughput backend REST API built with FastAPI, Pydantic v2, and SQLAlchemy 2.0. Includes JWT authentication, bcrypt password hashing, role-based access control (RBAC), Alembic migrations, and 90%+ PyTest coverage.

FastAPI SQLAlchemy 2.0 PostgreSQL Alembic JWT & bcrypt PyTest (90%+)
EXPLORE REPOSITORY Backend API
GITHUB REPO

Retinal Disease Detector (CNN)

ZENITH-RAI / EYEDISEASEPREDICTION

Deep learning computer vision application utilizing Convolutional Neural Networks (CNNs) trained on 4,000+ fundus scans across four disease classes, achieving 96.2% test accuracy with OpenCV preprocessing and FastAPI inference.

96.2% Accuracy PyTorch Keras / CNN OpenCV Batch Norm FastAPI
EXPLORE REPOSITORY Computer Vision
GITHUB REPO

Vehicle Price Valuation Engine

ZENITH-RAI / final-year-project

Machine learning valuation system leveraging XGBoost and AdaBoost (R²: 0.87) to predict secondary market car prices, backed by K-Means segmentation and a FastAPI marketplace backend with eSewa digital wallet integration.

R² = 0.87 XGBoost Scikit-learn FastAPI eSewa Pay PostgreSQL
WATCH VIDEO DEMO CODE
LIVE DEPLOYED

Cardiovascular Risk Classifier

PRODUCTION CLINICAL DIAGNOSTIC

Clinical classification system utilizing supervised learning algorithms to assess patient parameters (blood pressure, cholesterol, ECG indicators) for rapid and reliable cardiovascular disease risk evaluation.

Classification Scikit-learn Feature Scaling Clinical Data Vercel
LAUNCH LIVE APPLICATION Live Web App
LOCAL LLM

Local RAG Document Q&A

ZERO-CLOUD PRIVACY ARCHITECTURE

Generative AI application enabling zero-leakage enterprise document Q&A using local open-source LLMs via Ollama, LangChain chunking pipelines, and vector semantic similarity search for confidential documents.

Ollama Llama 3 Sentence-Transformers LangChain Vector DB
VIEW LINKEDIN SHOWCASE Privacy RAG
SECTION_03 // CORE_CAPABILITIES

TECHNICAL SKILLS MATRIX

Comprehensive stack engineered across machine learning, deep learning, generative AI, and resilient backend systems.

Generative AI

RAG & LLM Pipelines
RAG Architectures LangChain ChromaDB Sentence-Transformers Ollama Llama 3 Prompt Engineering BM25 Hybrid Search Vector Embeddings

AI & ML Models

PyTorch & Scikit-learn
PyTorch Keras & TensorFlow CNN & ANN XGBoost & AdaBoost Scikit-learn Regression & Trees K-Means & DBSCAN OpenCV Feature Engineering

Backend & APIs

FastAPI & Databases
Python 3 FastAPI PostgreSQL SQLAlchemy 2.0 Pydantic v2 Alembic Migrations JWT & bcrypt RESTful Design Asyncio & Swagger

Tools & DevOps

Engineering Rigor
Docker & Compose PyTest Automated Tests Git & GitHub Linux CLI HTML5 / Modern CSS Vanilla JavaScript eSewa API Data Structures (DSA)
SECTION_04 // ACADEMIC_PATHWAY

EDUCATION HISTORY

As you scroll, the cyber circuit timeline traces academic progression and milestone achievements.

SECONDARY EDUCATION EXAM (SEE)

Cambridge Public High School

Old Baneshwor, Kathmandu

SEE SCORE GPA 3.80

Completed secondary schooling with distinction honors. Fostered rigorous foundational mastery across mathematics, computer fundamentals, and scientific inquiry.

Distinction STEM Focus Kathmandu
+2 SCIENCE & CS GPA 3.18

Higher secondary academic coursework with an emphasis on Physical Sciences, Advanced Mathematics, and Computer Science. Built foundational programming competence and computational logic.

Physics Mathematics C Programming
HIGHER SECONDARY (+2)

Shikshantar College

Kathmandu, Nepal

CURRENT UNDERGRADUATE

Orchid International College

Affiliated to Tribhuvan University (TU)

Bijayachowk, Gaushala, Kathmandu

BSc. CSIT EXPECTED 2026 GRADUATE

4-year Bachelor of Science in Computer Science and Information Technology. Rigorous university curriculum covering operating systems, compiler design, artificial intelligence, computer networks, and enterprise database systems.

Tribhuvan University Ongoing Passed Out 2026
SECTION_04.1 // TU_CURRICULUM_MATRIX

COURSE WORK (SEM 1 – 8)

Complete semester-wise academic curriculum from Tribhuvan University Institute of Science and Technology (IOST).

SECTION_05 // PRACTICAL_FIELDWORK

ENGINEERING EXPERIENCE

Hands-on production projects, model architecture prototyping, and full-stack software development.

INDUSTRY PRACTICUM & LABS

AI / Machine Learning Intern

Machine Learning & Backend Development

Sep 2026 – Nov 2026 (3 Months)

Kathmandu, Nepal

Supervised & Unsupervised Modeling: Engineered and tuned regression and classification models (multilinear regression, logistic regression, decision trees, XGBoost, and AdaBoost) leveraging systematic feature engineering and hyperparameter optimization.

Deep Learning Computer Vision: Architected CNN and ANN neural networks utilizing PyTorch and Keras with Adam and RMSProp optimizers, batch normalization, and dropout layers—achieving 96.2% test accuracy on retinal pathology image classification.

Generative AI RAG Chatbot: Developed a full-stack Retrieval-Augmented Generation (RAG) platform using LangChain, ChromaDB vector storage, and FastAPI, integrating K-Means and DBSCAN clustering for automated dataset partitioning.

Containerization & Backend Hardening: Packaged microservices with Docker, orchestrated PostgreSQL database schema migrations using Alembic, and enforced secure user authentication through JWT and bcrypt hashing.

PyTorch FastAPI Docker ChromaDB LangChain PostgreSQL Alembic XGBoost
SECTION_06 // CODE_REPOSITORIES

GITHUB REPOSITORIES

Direct access to open source repositories, architecture blueprints, and source code implementations.

PUBLIC_REPO FastAPI / PostgreSQL

ZENITH-RAI / ecommerce_backeendprj

Enterprise modular e-commerce REST API built with FastAPI, SQLAlchemy 2.0, Pydantic v2, Alembic migrations, and role-based access control. Includes comprehensive PyTest suites.

git clone https://github.com/ZENITH-RAI/ecommerce_backeendprj.git
OPEN REPOSITORY Python • REST API
PUBLIC_REPO 96.2% CNN Accuracy

ZENITH-RAI / EYEDISEASEPREDICTION

Deep learning retinal scan diagnostic classifier using Convolutional Neural Networks (CNNs). Trained across 4 ophthalmic pathology classes with real-time FastAPI inference.

git clone https://github.com/ZENITH-RAI/EYEDISEASEPREDICTION.git
OPEN REPOSITORY PyTorch • Vision
PUBLIC_REPO XGBoost / AdaBoost

ZENITH-RAI / final-year-project

Machine learning vehicle resell price prediction platform with 0.87 R² score, integrated with K-Means market segmentation, FastAPI backend, and eSewa payment gateway.

git clone https://github.com/ZENITH-RAI/final-year-project.git
OPEN REPOSITORY DEMO VIDEO
PRIVATE_REPOSITORY Llama 3 / ChromaDB

ZENITH-RAI / rag-chatbot-platform

Production RAG enterprise document intelligence platform with dense vector embeddings and BM25 hybrid search. Proprietary codebase. Live demonstration and architecture walkthroughs available upon request.

[ACCESS RESTRICTED: DEMONSTRABLE VIA INTERVIEW OR LINKEDIN POST]
VIEW SHOWCASE POST Proprietary GenAI
SECTION_07 // DIRECT_UPLINK

GET IN TOUCH

Actively open to software developer internships, junior backend/AI roles, and high-impact engineering collaborations.

COMMUNICATION RADAR

Connect directly for internship discussions, technical interviews, or project inquiries.

PRIMARY EMAIL contact.zenithrai@gmail.com
Kathmandu, Nepal
+977 970-454-1759
zenithrai.com.np
MAILTO: ZENITH RAI