Asif Wali

Data Scientist

https://talent.gravityer.com/asif-wali

Founder, NXTG.AI. 23 years of global program delivery. Building the governance layer for AI-native development. Forge, Faultline, Dx3... and more

NXTG-AI

Key Strengths

Demonstrated interest in AI/ML and data science through multiple personal projects (voice-jib-jab, nvidia-genai-retail-accelerator, Diabetes-Prediction-Challenge, Faultline, ConTextCap).
Experience with Python, Jupyter Notebook, and Dockerfile, which are core technologies for Data Scientists.
Proactive in developing complex AI-driven applications, indicating strong problem-solving and implementation skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards AI/ML and data science, aligning well with a Data Scientist role. The diversity of projects, from voice orchestration to retail accelerators and forensic analysis, indicates a broad interest within the AI domain. However, the lack of team-based projects or contributions to open-source beyond personal repositories makes it difficult to assess collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and technical curiosity.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

.github

March 4, 2026 – Present

Default community health files

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voice-jib-jab

January 9, 2026 – Present

NextGen AI Voice Orchestrator with lane-based architecture - Browser-first speech-to-speech assistant

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Diabetes-Prediction-Challenge

December 17, 2025 – Present

Kaggle Diabetes Prediction Challenge | Playground Series - Season 5, Episode 12

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Faultline

December 10, 2025 – Present

Faultline is a forensic analysis tool designed to build a "trust layer" for AI-generated content. Instead of just generating more text, Faultline dissects AI answers into atomic claims, verifies them against real-world data using Google Search grounding, and visualizes logical fractures in the reasoning chain.

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FamilyMind

November 23, 2025 – Present

FamilyMind — repository

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game-brainrot

August 24, 2025 – August 25, 2025

game-brainrot — repository

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newsletter

July 3, 2025 – July 3, 2025

newsletter — repository

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localNotes

June 30, 2025 – November 23, 2025

localNotes — repository

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nvidia-genai-retail-accelerator

April 1, 2025 – April 1, 2025

NVIDIA GPT-4 AI Retail Accelerator - A modern retail AI solution using NVIDIA's GPT-4 technology

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ConTextCap

December 27, 2024 – November 23, 2025

A powerful desktop application that captures and documents your codebase by generating beautiful PDF documentation of your project's structure and contents. Includes the full content of text-based files (code, markdown, config files, etc.) Built for enhancing LLM context awareness.

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Key Strengths

Demonstrated interest in AI/ML and data science through multiple personal projects (voice-jib-jab, nvidia-genai-retail-accelerator, Diabetes-Prediction-Challenge, Faultline, ConTextCap).
Experience with Python, Jupyter Notebook, and Dockerfile, which are core technologies for Data Scientists.
Proactive in developing complex AI-driven applications, indicating strong problem-solving and implementation skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and technical curiosity.

Asif Wali

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit