Namit Solanki Profile

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ML, NLP, Football, Yap Enthusiast

I'm actively contributing to open-source projects like Scikit-Learn and have developed innovative solutions. My work spans across machine learning, data science, and mobile app development. If you're working on something real, let's talk.
Android Co-Lead at GDGGSoC ContributorHackathon Winner

Experience & Projects

Open Source logo
May 2025 – Present

GSoC Contributor for sklearn

Open Source

Contributed to Random Forest algorithm under Supervised Machine Learning by improving scikit-learn's file caching behaviour to follow OS-specific conventions.

PythonMachine LearningOpen Source
Nereus Technologies logo
March 2025 – April 2025

DBMS & Data Science Intern

Nereus Technologies

Developed PostgreSQL database and backend system for real-time IMU sensor data, implemented Bluetooth connectivity, and designed admin & user dashboards.

PostgreSQLPythonBluetooth
Jan 2025 – Present

Fi Nexus

Self-Employed

Built a comprehensive finance dashboard website with Fi Money MCP server integration for real-time financial data tracking and analytics.

Next.jsPythonPostgreSQL
Sept 2024 – Present

No Code ML Model Builder

Self-Employed

Developed a no-code machine learning model builder with Python scripts on Uvicorn server, integrated scikit-learn, matplotlib, and Streamlit.

PythonStreamlitML
March 2025 – May 2025

Anti-Cheating Extension

Self-Employed

Created anti-cheating browser extension to monitor student activity during online exams, blocking tab switching and detecting focus loss.

JavaScriptChrome ExtensionManifest V3

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Blogs & Articles

Skills & Technologies

Machine Learning
Data Science
App Development
Python
Kotlin
C++
JavaScript
Firebase
SQL
Git
GitHub
Flutter
Dart
Linux
Transformers

Awards & Recognition

BITS Pilani logoFeb 2025

Runner Up in TechXlerate Hackathon

BITS Pilani

Lead a team to runner's up position in SaaS domain out of total 350 teams participating from all over India.

University of Oxford logoMarch 2025

OXML 25

University of Oxford

Selected for Oxford Machine Learning Summer School 2025, focusing on advanced ML research and applications.