Aviral Garg

Principal AI/ML Researcher and Engineer

https://talent.gravityer.com/aviral-garg

GSoC'26 @apache | Co-Founder @Waysorted | Former DRDO Intern | AI/ML Developer and Researcher

@Waysorted-s-Organisation

Key Strengths

Extensive personal project portfolio demonstrating strong interest and hands-on experience in AI/ML, particularly in areas like semantic caching, reinforcement learning, agent evaluation, and various predictive models.
Experience with diverse AI/ML applications including database integration (NexumDB), agent evaluation (agentunit), and traditional ML tasks (stock prediction, disease detection, emotion recognition).
Proficiency in Python, a core language for AI/ML development, and exposure to Rust for performance-critical components.
Demonstrated ability to work on complex, multi-technology projects (e.g., NexumDB combining SQL, AI, Rust, Python).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal project work, particularly open-source initiatives like NexumDB and agentunit, suggests a proactive, self-driven individual with a strong passion for innovation and contributing to the technical community. This aligns well with a culture that values initiative and continuous learning. The breadth of projects indicates adaptability and a willingness to explore diverse problem domains within AI/ML.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily through personal projects, and no psychometric or English test results are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

NexumDB

November 25, 2025 – Present

An innovative, open-source database that combines traditional SQL with AI-powered features including semantic caching and reinforcement learning-based query optimization.

View Project

agentunit

September 29, 2025 – Present

AgentUnit is a pytest-inspired evaluation harness for autonomous agents and retrieval-augmented generation (RAG) workflows. It helps you describe repeatable scenarios, connect them to your agent stack, and score results with both heuristic and LLM-backed metrics.

View Project

Asthma-Prediction-Model

September 24, 2024 – September 24, 2024

Asthma-Prediction-Model — GitHub repository

View Project

Face-Emotion-Recognition

September 16, 2024 – September 16, 2024

Face-Emotion-Recognition — GitHub repository

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Productivity-Measure-test

September 12, 2024 – September 14, 2024

Productivity-Measure-test — GitHub repository

View Project

Leaf-disease-detection

September 10, 2024 – September 10, 2024

Leaf-disease-detection — GitHub repository

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Productivity-measure-2

September 7, 2024 – September 7, 2024

Productivity-measure-2 — GitHub repository

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Productivity-Measure

September 5, 2024 – September 14, 2024

Productivity-Measure — GitHub repository

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Codebot

July 1, 2024 – August 8, 2024

Codebot — GitHub repository

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Basic-Stock-Price-Prediction

April 27, 2024 – April 27, 2024

Stock Price Prediction Model using Machine Learning Algorithms

View Project

Key Strengths

Extensive personal project portfolio demonstrating strong interest and hands-on experience in AI/ML, particularly in areas like semantic caching, reinforcement learning, agent evaluation, and various predictive models.
Experience with diverse AI/ML applications including database integration (NexumDB), agent evaluation (agentunit), and traditional ML tasks (stock prediction, disease detection, emotion recognition).
Proficiency in Python, a core language for AI/ML development, and exposure to Rust for performance-critical components.
Demonstrated ability to work on complex, multi-technology projects (e.g., NexumDB combining SQL, AI, Rust, Python).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily through personal projects, and no psychometric or English test results are available.

Aviral Garg

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit