Vishesh Yadav

AI Researcher

Seoni, Madhya Pradesh, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in autonomous vehicle data preprocessing.
Improved model accuracy by 39% in radar data analysis.
Contributed to open-source projects enhancing AI frameworks.

Stackforce AI infers this person is a skilled professional in AI and machine learning for automotive and aerospace industries.

Contact

Skills

Core Skills

Research CollaborationData PreparationDeeplearning

Other Skills

Python (Programming Language)Autonomous VehiclesAutogradKnowledge EngineeringDDPCUDACupyDistributed SystemsData ScienceRecsysPytorch geometricAQTStateSpaceModelsLanguage SkillsModel Predictive Control

About

Our team at NVIDIA is pushing the boundaries of autonomous vehicle technology, where my role as an ML Annotation Specialist leverages my Master's degree in AI and Machine Learning from Lovely Professional University. With a strong foundation in mathematics and computer science, I ensure the precision of data annotation critical for machine learning models. Previously contributing to open-source projects, we enhanced state space models and resolved module integration issues, showcasing my competencies in complex systems modeling and high-performance computing. My dedication to advancing AI applications is rooted in a commitment to innovation and excellence within the tech industry.

Experience

9 mos

Total Experience

9 mos

Average Tenure

9 mos

Current Experience

Indian institute of science (iisc)

2 roles

Machine Learning Engineer

Mar 2026 – Present · 2 mos · Bengaluru · On-site

Associate Researcher

Aug 2025 – Mar 2026 · 7 mos · Bengaluru · On-site

Worked under the DRDO CASDIC Department on multi sensor data fusion for Aircraft Electronic Warfare ESM, designing an experimental framework for efficient model training. Scaled experiments using Distributed Data Parallel across four NVIDIA A6000 GPUs, performed radar data EDA, and implemented SORT based PDW tracking, improving accuracy by 39 percent.

Python (Programming Language)Research Collaboration

Nvidia

ML Annotation Specialist

Dec 2024 – Feb 2025 · 2 mos · Pune, Maharashtra, India · Remote

Worked with high-volume 2D/3D image and video datasets for autonomous driving systems.
Audited annotated data to ensure quality, consistency, and compliance.
Used HumanLoop and internal dashboards to monitor accuracy and improve workflows.
Collaborated with remote cross-functional teams to deliver time-sensitive projects.

Data PreparationAutonomous Vehicles

Apple

Open Source Contributor

Jun 2024 – Dec 2024 · 6 mos · Remote

1. Enhancing Evolving State Space Models in Axlearn, improving non-linear temporal dependency handling and robustness for dynamic and complex systems modeling.
2. Resolved AQT module integration issues, ensuring efficient imports and execution for scalable, high-performance deep learning models within Apple's Axlearn .

AutogradDeepLearning

Corerec

Researcher - Open Source Project

Feb 2024 – Jan 2026 · 1 yr 11 mos · Remote

CoreRec is a comprehensive framework for building recommendation modules, systems, and towers (like TensorFlow for deep learning, Corerec is for recommendation models). It has surpassed over 30,000 downloads and continues to grow.
We’ve got algorithms that made Netflix cooler and YouTube wittier!