Open to opportunities

Prabhudasu User

@prabhudasuuser

Message

AI engineer specializing in optimizing large models for real-time robotics and conversational systems.

United States

Message

What I'm looking for

I seek a role building and optimizing real-time human-AI systems using multi-agent frameworks, serverless platforms, and edge-optimized model deployments, with collaborative, impact-driven teams focused on low-latency, low-power solutions.

I am an AI engineer with 7+ years optimizing large models for real-world applications, particularly robotics, autonomy, and interactive human-AI systems. I design model architectures, apply distillation and quantization, and improve compute efficiency—delivering measurable gains like 25% lower inference latency, 15% improved training stability, and 30% increased throughput on edge accelerators.

I build production-ready Python solutions using PyTorch and deploy to edge accelerators and custom NPUs, with experience in multi-agent frameworks, serverless voice orchestration, and adaptive agentic architectures. I collaborate across hardware and software teams, prioritize scalable, low-power designs, and bring a growth mindset, clear communication, and hands-on problem solving to drive impactful AI deployments.

Experience

Work history, roles, and key accomplishments

Systems Support Analyst

Allsec Technologies Ltd

Provided advanced technical support resolving 95% of escalated inquiries, analyzed support tickets to reduce incident rates by 15%, and produced documentation that improved team efficiency by 20%.

Technical Support Troubleshooting Documentation Customer Support Collaboration

Junior Machine Learning Engineer

Tech Mahindra

Analyzed and troubleshot system-level issues for AI applications, resolving 50+ critical incidents and automating data workflows to improve operational efficiency by 10%.

Python Model Evaluation Debugging Incident Management Scripting SLA Management

AI Engineer - Model Optimization

Movate Technologies Ltd

Orchestrated optimization of large AI models, reducing inference latency by 25% and improving model quality/training stability by 15% for real-world robotics applications while increasing compute throughput on edge accelerators by 30%.

PyTorch Model Quantization Distillation)Inference Profiling Python Distillation

Technical Support Representative

Allsec Technologies Ltd

Resolved 100+ customer technical issues weekly with a 90%+ satisfaction rating, contributing to a 10% improvement in first-call resolution via knowledge base contributions.

Customer Support Troubleshooting Knowledge Base Customer Satisfaction Communication Time Management