Professional Overview
I'm a Senior AI Product & Infrastructure Engineer with 12+ years of experience building backend systems, cloud infrastructure, and production AI products. I have rich experience with Python, Java, FastAPI, AWS, Kubernetes, Terraform, PyTorch, RAG and LLM-based applications.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built reusable FastAPI service templates across 4 client repositories
- Deployed a Pinecone-based RAG pipeline across 12 existing codebases
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Refactored distributed backend microservices to fix data bottlenecks
- Built PyTorch time-series models for daily inventory forecasting
- Wrote the core LangGraph orchestration code for a platform
Key Achievements / KPIs
- Secured a $10M AWS infrastructure expansion
- Reduced stock waste by an average of $450 per branch each month
- Helped scale the live platform from zero to 10,000+ active branches
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Refactored Java and Python inference services as the platform grew
- Migrated backend services from on-premises infrastructure to AWS using Terraform
- Containerized streaming data pipelines with Kubernetes
Key Achievements / KPIs
- Grew from 150 to 480 production ML models while maintaining 99.99% availability
- Reduced infrastructure costs by an estimated $15,000 per month
- Automated deployments across highvolume production environments
Education
Field of Study: Machine Learning, Software Engineering, Full-Stack Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
