Voice AI Builder. Prev @Nvidia | Building in Public
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
openrtc-runtime
March 19, 2026 – Present
OpenRTC lets developers run multiple LiveKit voice agents in one Python worker, sharing heavy models instead of duplicating them per process.
View Projectvoiceai
July 29, 2025 – Present
Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖
View Projectmoorcheh-examples
July 9, 2025 – Present
This repository contains practical examples and sample projects demonstrating how to use Moorcheh, a framework for building AI-powered chat applications.
View Projectfastrtc-whisper-cpp
May 22, 2025 – June 6, 2025
A PyPI package that wraps Whisper.cpp for speech-to-text (STT) transcription, compatible with FastRTC
View Projectawesome-csm-1b
March 14, 2025 – May 29, 2025
List of curated use cases built using Sesame's CSM 1B
View ProjectMachine_learning_fundamentals
April 14, 2023 – September 18, 2023
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
View Projectvechicle-counting-yolo
January 29, 2023 – June 5, 2025
An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.
View Projectopen-source-python-projects-2023
December 3, 2022 – January 3, 2023
Collection of Best Python Projects !
View Projectproject-traffic-management
October 27, 2022 – April 14, 2024
CNN based Efficient Traffic Routing in Real-Time
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on personal projects, demonstrating initiative and a strong interest in the AI/ML domain. The diversity of projects, from computer vision to natural language processing and real-time systems, suggests a broad technical curiosity. However, the lack of team-based projects or formal work experience makes it challenging to fully assess cultural fit in a collaborative professional environment. The projects align well with a Data Scientist role, particularly one with a focus on applied machine learning and potentially MLOps aspects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual with a strong interest in AI/ML. The focus on personal projects indicates a passion for learning and applying new technologies. However, without formal work experience or psychometric test results, it is difficult to assess collaboration, stress handling, or other operational fit aspects.