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GSoC'26 @apache | Co-Founder @Waysorted | Former DRDO Intern | AI/ML Developer and Researcher
@Waysorted-s-Organisation
Principal AI/ML Researcher and Engineer
June 12, 2026 – Present
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 Projectagentunit
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 ProjectAsthma-Prediction-Model
September 24, 2024 – September 24, 2024
Asthma-Prediction-Model — GitHub repository
View ProjectFace-Emotion-Recognition
September 16, 2024 – September 16, 2024
Face-Emotion-Recognition — GitHub repository
View ProjectProductivity-Measure-test
September 12, 2024 – September 14, 2024
Productivity-Measure-test — GitHub repository
View ProjectLeaf-disease-detection
September 10, 2024 – September 10, 2024
Leaf-disease-detection — GitHub repository
View ProjectProductivity-measure-2
September 7, 2024 – September 7, 2024
Productivity-measure-2 — GitHub repository
View ProjectProductivity-Measure
September 5, 2024 – September 14, 2024
Productivity-Measure — GitHub repository
View ProjectBasic-Stock-Price-Prediction
April 27, 2024 – April 27, 2024
Stock Price Prediction Model using Machine Learning Algorithms
View ProjectCultural 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.