About me: Bibek

Turning Ideas into Functional & Scalable Solutions

With a strong foundation in coding and an eye for design, I began my career as a web developer building high-performance, user-friendly, and secure web applications across the full stack. Over time, my growing passion for data, AI, and machine learning led me to transition into cloud-native data and machine learning engineering. Today, I specialize in designing scalable data platforms, building intelligent data pipelines, and enabling analytics and ML solutions that turn data into real business impact.

+

years experience

+

Satisfied clients

+

Projects done

Winning awards

Skills

Frontend

HTML, CSS, JavaScript (React, Vue, Svelte)

Backend

Node.js, Express, Python (Django, Flask),Java

Database

MSSQL,PostgreSQL,Oracle,MySQL, MongoDB

Tools

Git, Docker, Azure, Databricks

Experience

Data / Machine Learning Engineer

2023 – Present

Designing and building scalable data pipelines, feature engineering workflows, and analytics-ready datasets using cloud and big data technologies. Supporting machine learning use cases through clean, reliable, and optimized data platforms.

Data Analyst / Data Engineer

2019 – 2022

Analyzed large datasets to generate business insights and developed ETL pipelines for reporting and analytics. Worked closely with stakeholders to translate business requirements into data solutions.

Data Structures & Algorithms Instructor

2018 – 2019

Taught core computer science fundamentals including data structures, algorithms, and problem-solving techniques. Mentored students in coding best practices and analytical thinking.

Education

Bachelor of in Engineering in Information Technology

2013 - 2017

Nepal College of Information Technology,Pokhara University

MBA

2019 - 2023

Pokhara University

Postgraduate in AI and ML

2023 - 2024

Lambton College in Toronto

Interest

Photography

Capturing moments that inspire creativity.

Coding

Bringing creativity via coding

Traveling

Exploring cultures and landscapes to recharge myself.