Professional Summary
AI and technology expert with a focus on Large Language Models (LLMs), Agentic workflows, and robust software engineering. Proven track record in developing scalable AI solutions and leading technical teams to bridge the gap between research and production.
Technical Arsenal
neurology Core AI
LLMs (GPT-4, Claude 3)Agentic FrameworksRAG ArchitecturesFine-tuning
terminal Tech Stack
PythonRustPyTorchAWS / GCPDocker & K8s
Work Experience
N
Senior AI Engineer
Nexus Dynamics
calendar_monthJan 2022 - Present
- Architected and deployed a multi-agent system handling 10k+ daily customer inquiries, reducing resolution time by 40%.
- Optimized LLM inference pipelines using vLLM and continuous batching, cutting cloud compute costs by $15k/month.
- Led a squad of 4 engineers transitioning monolithic NLP microservices to a modular Agentic framework.
S
Machine Learning Engineer
Synapse Tech
calendar_monthMar 2019 - Dec 2021
- Developed predictive models for user churn using PyTorch, achieving 92% accuracy on validation sets.
- Implemented CI/CD pipelines for ML models, ensuring robust retraining and deployment cycles.
- Collaborated with product teams to integrate semantic search features using early transformer models.
Education & Certifications
school
MSc in Computer Science (AI)
Imperial College London • 2017 - 2018
Graduated with Distinction. Thesis focused on reinforcement learning in dynamic environments.
workspace_premium
AWS Certified Machine Learning – Specialty
Amazon Web Services • Issued 2023