BRISHAV
RAJBAHAK

I don't just write code — I architect realities. From the neon-lit streets of Kathmandu to servers humming in the cloud, I build digital experiences that are precise, performant, and impossible to forget. Every system I deploy pushes ∇L → 0, every model I ship converges to R²→ 1.

See My Work → Initiate Contact Resume

Interactive Terminal

$ type 'help' for available commands

Desktop mode recommended for the full terminal experience.

3+ Years in the Grid

15+ Projects Deployed

6+ Stacks Mastered

import torch
import torch.nn as nn

class Net(nn.Module):
    def __init__(self):
        super().__init__()
        self.fc = nn.Linear(128, 2)

>>> import numpy as np
>>> data = np.random.randn(100, 5)
>>> np.mean(data, axis=0)

System.Identity

The Human Behind the Code

I'm Brishav Rajbahak — a data scientist forged in the chaotic, electric energy of Kathmandu, where century-old temples share skylines with satellite dishes. That contrast — ancient meets digital, chaos meets precision — is wired into everything I build.

I obsess over statistical integrity, extraction of hidden insights from massive data streams, and optimization of machine learning models. The details aren't the finishing touch — they are the truth.

When the terminal is closed, you'll find me analyzing complex systems in RPGs, reading research papers, or pacing the room thinking about a model's gradient descent convergence.

Location

Kathmandu, Nepal 🇳🇵

Status

🟢 Open to Work

Specialty

Data Science

Education

Computer Science

Interests

AI · ML · Research

Languages

Python · R · SQL

Download Full Resume

System.Arsenal

The Arsenal

Machine & Deep Learning

Python · PyTorch · TensorFlow · Scikit-Learn · Keras

Data Engineering

SQL · Spark · Kafka · Airflow · ETL · Hadoop

MLOps & Cloud

AWS · Google Cloud · Docker · MLflow · Kubernetes

Statistics & Viz

Pandas · NumPy · Matplotlib · Seaborn · Tableau · R

Natural Language Processing

Transformers · BERT · GPT · HuggingFace · SpaCy

Computer Vision

OpenCV · YOLO · Image Segmentation · CNNs

System.Deployments

Things I've Shipped

All Repos →

⭐ FEATURED

Live

Everest Analytics Engine

Raw meteorological data is highly non-linear. Everest Engine digests multi-source satellite sensors using PySpark data streams and LSTM networks to forecast Himalayan climate anomalies.

Python PySpark LSTM Kafka InfluxDB

View Project GitHub

Live

Lhotse Object Classifier

Deploying lightweight deep learning models to edge environments. Mobile-optimized CNN architectures in PyTorch trained to perform instant topological and geological categorization on terrain camera feeds.

PyTorch OpenCV MobileNet Docker AWS

View Project GitHub

Live

Kathmandu Traffic Forecaster

APIs powered by production ML models. An intelligent forecasting gateway running trained XGBoost models to predict congestion patterns and transit delays across Kathmandu loops.

XGBoost FastAPI Pandas Scikit-Learn Redis

View Project GitHub

System.Comms

Let's Build Something Insane.

Got a wild idea? A project that keeps you up at 2am? A role that needs someone who cares as much about the craft as the deadline? My terminal is always open. Send a message — I reply to every single one.

contact@brishavrajbahak.com.np

BRISHAV RAJBAHAK

The Human Behind the Code

The Arsenal

Things I've Shipped

Let's Build Something Insane.

BRISHAV
RAJBAHAK