Agrim Sharma

CTO

Delhi, India9 yrs experience

AI EnabledHighly Stable

Key Highlights

Over a decade of experience in AI systems.
Led engineering teams for autonomous vehicles.
Pioneered mentorship initiatives in engineering.

Stackforce AI infers this person is a leader in Autonomous Vehicle technology with a focus on AI systems and engineering.

Contact

Skills

Core Skills

Ai SystemsEngineering LeadershipDeep LearningSafety ComplianceMachine LearningR&d

Other Skills

multimodal fusionobject detectiongenerative AIsynthetic data generationscenario classificationmodel governancetrajectory predictionperception planningstereo visionlane detectionADAS systems

About

An engineering leader with over a decade of experience, dedicated to building intelligent, safe, and scalable AI systems for autonomous driving and robotics. My background spans research, applied machine learning, system optimization, and regulatory compliant AI development, involving mobility startups and global technology companies.

Experience

9 yrs

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Nvidia

AI Driving Engineering Manager

Jan 2022 – Jan 2024 · 2 yrs

Lead perception and planning engineering team on NVIDIA DRIVE platform for L4 autonomous vehicles
Designed and deployed real time multimodal fusion system (LiDAR + Camera + Radar), improving object detection accuracy by 32%
Partnered with simulation team to integrate generative AI for synthetic data generation, reducing model training cost by 40%
Represented NVIDIA at GTC and CES on topics of applied AI, AV safety frameworks, and engineering leadership
Founded internal Women in Autonomous Systems mentorship circle to promote inclusive engineering culture

AI systemsmultimodal fusionobject detectiongenerative AIsynthetic data generationengineering leadership

Aurora-innovations, llc - washington, dc

Senior AI Systems Engineer

Jan 2019 – Jan 2022 · 3 yrs

Built and scaled deep learning pipelines for object detection and scenario classification
Developed lightweight inference models optimized for edge deployment on autonomous trucks
Collaborated with safety teams to align AV stack with regulatory standards in CA and TX
Established cross functional model governance and metrics review framework
Mentored junior engineers across perception and systems integration teams

deep learningobject detectionscenario classificationmodel governancesafety compliance

Nuro

Machine Learning Engineer

Jan 2016 – Jan 2018 · 2 yrs

Developed planning models for autonomous delivery vehicle navigation
Implemented LSTM based trajectory prediction model to improve pedestrian and cyclist interaction
Worked with product teams on perception planning interface requirements
Contributed to early AV delivery pilot deployment in Arizona

machine learningtrajectory predictionperception planning