Building intelligent,
scalable solutions
Full-stack, cloud, and AI engineer at Northeastern University. 3 years building high-performance backend systems, scalable infrastructure, and generative AI applications.
Technical Skills
Work Experience
AI Engineer
Engineered multi-modal document processing with 95% accuracy using Gemini Vision API, architected 4-tier persistent memory system for AI agents, and deployed services with 99.9% uptime using Kubernetes.
Member of Technical Staff
Built client-side analytics platform for OpenAI API monitoring with 100% data privacy, developed Recharts dashboard for visualizing usage data directly from API.
Software Engineer
Reduced initial load times by 40% through data-loading re-architecture, enhanced productivity by 25% by re-engineering forecast simulations, diagnosed and resolved 70+ customer-reported bugs annually.
Featured Projects
Multi-Agent RAG System
Architected multi-agent research system synthesizing information from parallel web, academic, and RAG agents with LangGraph orchestration.
Cloud-Native App (GCP)
Engineered scalable 3-tier web application on GCP with auto-scaling, private Cloud SQL, and Terraform IaC for 15+ resources.
Distributed Training Pipeline
Achieved 3.7x speedup on U-Net model using PyTorch DDP on HPC cluster, reduced training time 66% with Automatic Mixed Precision.