Hey there!
I’m Nikhil Patil, a software engineer with a
Master’s in Computer Science and experience across
mobile, web, and DevOps. I specialize in Flutter
development, containerized deployments, and building
scalable systems from UI to infrastructure. I'm
based in India and passionate about shipping clean,
reliable, and user-focused software.
Skills
Flutter
Dart
Android developement
AWS
Python
Machine learning
JavaScript
Java
C#
Angular
Node.js
Docker
Git
Firebase
My Projects
Blaze Feeds - AI RSS Reader
A cross-platform RSS reader app written in
Flutter that allows users to read news from
their RSS sources and also syncs with their
FreshRSS accounts. Supports offline reading,
AI summarization and customizable themes.
The app will soon be available on the Google
Play Store and the Apple App Store.
Chatbot that scrapes wikipedia and does
semantic analysis on the wikipedia to answer
questions. The chatbot is designed to answer
questions by retrieving relevant information
from Wikipedia pages. It answers the user's
question using the extracted data by finding
the sentence in the Wikipedia page that
contains the most entities from the
question.
A Twitter bot that posts random technology
news articles to a Twitter account. The bot
uses the News API to get the news articles,
and it stores the articles it has already
posted in a SQLite database to avoid
duplicates.
This web tool provides a user-friendly web
interface for exploring your Steam library.
The project is structured around two main
components: the Express API and the
SvelteKit app.
Engineered an Android application
utilizing the Google Maps SDK for
accurate drone destination
selection, enhancing user interface
and experience.
Implemented a secure communication
infrastructure by seamlessly
integrating Secure Shell (SSH) and
Secure File Transfer Protocol (SFTP)
between the Android app and the
onboard Raspberry Pi, ensuring
robust data security during
operations.
Architected an innovative real-time
flight tracking mechanism, providing
users with instant insights into the
drone's location and status, thereby
elevating the overall flight
experience through enhanced
transparency and control.
Developed an intricate XGBoost machine
learning model attaining a remarkable 87%
accuracy in predicting credit card
acceptance rates. Leveraged cutting-edge
feature engineering methodologies to
expertly extract and analyze invaluable
insights from multifaceted transactional
datasets, enhancing the predictive power and
robustness of the model.
Joke Generator API, a simple Express.js
application that generates jokes as SVG
images. It utilizes the Canvas library to
craft the image and serves it through a
dedicated API endpoint.
I'm currently open to full-time and
remote roles. If you're looking for a
developer who can work across the stack
and deliver clean, scalable solutions —
let's connect.
Feel free to reach out if you have any
questions or just want to say hi!
