Lead Software Engineer · AI & Data Engineering · Network Automation · Distributed Systems

Portfolio: fullstackfusions.com

I am a Lead Software Engineer with 7+ years of experience designing and delivering enterprise-scale systems across AI/ML pipelines, data engineering, backend architecture, and network automation.

At Royal Bank of Canada (RBC), I lead the development of GenAI-powered solutions within the Technology & Operations division — building RAG systems, LLM-backed compliance tools, real-time data platforms, and agentic pipelines that operate at enterprise scale.

Beyond my core role, I'm actively building:

• FullStackFusions — a YouTube channel and technical brand for deep-dive engineering content
• Localz — an AI-native SaaS platform for local service providers
• Open-source tooling around agentic AI and LangGraph architectures

Programming & Frameworks

• Tools: Python (FastAPI, Flask, Django), JavaScript/TypeScript (React, Next.js), Go (Gin, Echo, Fiber)
• Value I Add: Clean service design, reusable architecture patterns, maintainable codebases, and faster feature delivery

APIs & Messaging

• Tools: REST, GraphQL, gRPC, WebSockets, Webhooks
• Value I Add: Contract-first API design, secure integrations, versioning, performance tuning, and API security with OAuth2/OIDC, JWT, RBAC/ABAC, rate limiting, and auditability

Databases

• Tools: PostgreSQL, MongoDB, Elasticsearch, Redis, SQL Server, Cassandra
• Value I Add: Schema and data modeling, query optimization, indexing strategy, and reliability-oriented data architecture

Data Engineering

• Tools: Apache Kafka, Apache Airflow, AWS S3, AWS Glue
• Value I Add: Resilient batch/stream pipelines, data quality guardrails, and production-ready analytics foundations

GenAI Features

• Tools: Agentic RAG, fine-tuning, function/tool calling, prompt chaining, orchestration, and re-ranking
• Value I Add: Business-ready AI workflows that improve accuracy, automate operations, and reduce manual effort

Platform & Environment Span

• Tools: On-prem, cloud-native, hybrid-cloud, multi-cloud, containerized workloads, Kubernetes/OpenShift
• Value I Add: Platform standardization, secure-by-default architecture, and smooth modernization across mixed environments

DevOps & Cloud

• Tools: AWS (ECS, EKS, EC2, Lambda, S3), Docker, Kubernetes, GitHub Actions, Jenkins, Terraform
• Value I Add: Faster release cycles, stable CI/CD, secure delivery controls, and cost-aware cloud operations

Network & Observability

• Tools: Grafana, Dynatrace, NetBrain, ExtraHop, Corvil, Elasticsearch
• Value I Add: End-to-end visibility, faster incident triage, proactive performance tuning, and measurable reliability improvement

Leadership & Delivery

• Tools: Architecture reviews, mentoring, shell scripting, CI/CD, delivery automation
• Value I Add: Clear technical direction, stronger engineering practices, and higher team execution velocity

Paginated API Matching Pipeline Cross-dataset record matching between NetBrain and Hasura — built with retry logic, paginated API orchestration, and Airflow DAG scheduling. Focused on production-grade reliability and cross-system data integrity.

Enterprise Data Platform (MVP) End-to-end ETL pipelines extracting from Grafana, Postgres, ElasticSearch, and Dynatrace — streaming via Kafka, loading into AWS S3 data lakes — orchestrated with Airflow and GitHub Actions. Designed as a cohesive platform, not a collection of isolated pipelines.

LLM Chatbot Pipeline LangGraph-powered multi-agent chatbot with message_id tracking, real-time status streaming via FastAPI, and a custom MessageRenderer frontend supporting dynamic response types (TEXT, TEMPLATE, FORM). Built for structured state management and a responsive streaming UX.

Investigative RAG v2 & Compliance RAG v2 LangGraph + LangChain RAG systems with hybrid retrieval (Qdrant + Postgres FTS), Cohere reranking, and evidence-first response design — purpose-built for compliance and network domain investigation at RBC (12 CFR Part 30 alignment). Designed for auditability, retrieval precision, and regulatory defensibility.

Localz (In Progress) AI-native SaaS platform for local service providers — featuring AI chat, seller/customer portfolios, analytics, and payment integration. Built on FastAPI + Pydantic with a monolith-first, microservices-ready architecture.

fullstackfusions.com

git clone https://github.com/fullstackfusions/fullstackfusions.git
cd fullstackfusions
open index.html    # Mac
start index.html   # Windows

Blog posts are generated from _posts/*.md. After adding or removing a post, rebuild:

node scripts/build-blog.js

Preview locally:

node scripts/build-blog.js && python3 -m http.server 8080
# http://localhost:8080/blog/

See BLOG_SETUP.md for the full authoring reference.