Aayaan Gautam

I'm a

About

Graduate of Computer Science and Information Technology from Bhaktapur Multiple Campus (Batch 2075), Nepal. Passionate about building intelligent systems and automating complex workflows.

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Machine Learning & RPA Developer

"Progress is possible only if we train ourselves to think about programs without thinking of them as pieces of executable code." - Edsger W. Dijkstra

  • Phone: +977 9861841779
  • Email: aayaan.gautam1999@gmail.com
  • City: Bhaktapur, Nepal
  • Degree: B.Sc. CSIT Graduate

I specialize in developing end-to-end automation solutions and predictive models. My focus is on writing clean, efficient code that solves real-world problems.

Skills

My technical toolkit covers everything from backend development to advanced data analytics.

Programming

Python C/C++ C# Java

Web Tech

HTML CSS JavaScript Bootstrap

Backend

Django Flask Streamlit .NET

Databases

MySQL PostgreSQL SQLite MongoDB

Cloud & DevOps

Docker Azure App Service Git

ML & Data Science

Scikit-Learn NLTK SpaCy TensorFlow PyTorch

Tools & Platforms

Elastic Stack Selenium Tableau Jira

Soft Skills

Leadership Event Management Public Speaking Time Management

Languages

English Nepali Hindi

Experience

Professional Experience

Software Engineer

Jan 2024 - Present

QuickFox Consulting

  • Designed and implemented RPA solutions to streamline banking operations for Nepal Bank, NMB Bank, Prime Bank, and Everest Bank.
  • Leveraged core banking systems like Pumori and Finacle for seamless software integration.
  • Automated critical processes including loan processing, account management, and compliance reporting using ETL software bots.

Associate Software Engineer

June 2023 - Dec 2023

QuickFox Consulting

  • Utilized Elastic Stack (Kibana, Logstash, Elasticsearch) for advanced data analysis and visualization.
  • Automated repetitive tasks using RPA and Selenium, significantly improving operational efficiency.
  • Developed AI models for table detection in financial documents and applied OCR for high-accuracy information extraction.

Software Engineering Intern

April 2023 - June 2023

QuickFox Consulting

  • Gained expertise in RPA using Selenium, Robot Framework, UiPath, and Blue Prism.
  • Developed a Nepali Sign Language Detection project using Computer Vision and OCR algorithms.
  • Implemented ML models (Linear Regression, Random Forest, etc.) and mastered libraries like NLTK, NumPy, Pandas, and PyTorch.

Projects

A showcase of my recent work in Machine Learning and Software Development.

Movie Recommendation System

Python, NumPy, Pandas, Scikit-Learn

Content-based filtering using Bag of Words and Count Vectorizer. Streamlit-powered web interface.

Laptop Price Prediction

Python, Scikit-Learn, Random Forest

Predictive model built after rigorous EDA and feature engineering. Random Forest Regressor yielded best results.

E-Ticket E-commerce

C#, .NET Core, MySQL

Full-stack movie ticket booking platform with user authentication and admin dashboard for CRUD operations.

Spam Email Classifier

Python, NLTK, Machine Learning

Text classification model to identify spam emails using Bag of Words and comparative ML algorithm analysis.

Services

Expertise I bring to your projects.

Computer Vision

Advanced image processing, real-time object detection, and visual intelligence using OpenCV and Deep Learning.

RPA Development

Designing and deploying sophisticated bots to automate repetitive business processes and boost efficiency.

Machine Learning

Building state-of-the-art predictive models and data-driven algorithms tailored for complex decision-making.

Backend Architecture

Developing scalable, secure, and high-performance server-side systems using Python and .NET ecosystems.

Data Intelligence

Architecting high-speed web scrapers and data extraction pipelines to turn raw data into actionable insights.

Neural Networks

Implementing deep neural architectures for natural language processing, computer vision, and AI innovation.

Contact

Have a project in mind? Let's talk.

Location:

Bhaktapur, Nepal

Call:

+977 9861941779