Independent AI / Machine Learning Consultant at Self-Employed (2026-02 – Present)
Advising organizations on LLM and RAG architecture, Cloud-based AI deployments, and scalable ML systems. Prototyping production-ready AI solutions leveraging large language models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), vector databases, and cloud-native infrastructure to validate technical feasibility, scalability, and performance.
Machine Learning Engineer / AI Engineer at Atlas Safety Products / Atlas Chemical Products (2023-01 – 2026-01)
- Architected and deployed a conversational, multi-step agentic NLP and Retrieval-Augmented Generation (RAG) system using LangChain and LangGraph, incorporating orchestration patterns with stateful memory, tool-based retrieval to improve factual grounding and retrieval precision across retail knowledge systems, reducing support response time by 65%.
- Applied GenAI guardrails and evaluation methodologies to ensure safety, reliability, and compliance, leveraging Azure OpenAI Content Filtering, offline evaluation datasets, human evaluation, and LLM-as-a-judge frameworks to assess hallucinations, toxicity, retrieval quality, and overall response performance.
- Built an agentic AI email-processing system, executing hands-on prompt engineering at the API level using Gemini and Google APIs to classify and route messages with 92% accuracy; automated tailored responses for common support and sales scenarios to eliminate manual triage workloads.
- Designed and implemented an AI-driven product recommendation engine using collaborative filtering and embedding-based similarity models to enhance personalization across a multi-category retail product portfolio, increasing cross-sell conversions by 22% and improving customer purchase journeys.
- Built customer churn prediction models using TensorFlow / Keras and deep learning neural networks, improving the sales team's ability to identify and retain high-value accounts.
- Developed a pilot multi-agent voice pipeline to deliver low-latency, natural conversational experiences, successfully demonstrating technical feasibility and performance for sales and support interactions.
- Developed multi-horizon forecasting models (weekly, monthly, quarterly, annual) across multiple regions, improving demand-planning accuracy by 18–25% and reducing stockouts and overstock events.
- Collaborated with operations to optimize demand planning using ML-driven reorder point predictions, reducing excess inventory and improving supply chain efficiency.
- Established ML model monitoring (drift detection, performance tracking) to ensure long-term reliability of deployed models.
- Built API services (FastAPI, Flask, Streamlit, Joblib) to expose ML models and RAG systems to internal applications and CRM tools.
Senior Solution Engineer / Consultant at Atlas Safety Products / Atlas Chemical Products (2019-01 – 2023-01)
- Designed and implemented Microservices Architecture for enterprise inventory, order management, and customer portals, improving system scalability and maintainability.
- Developed RESTful APIs to integrate internal systems with e-commerce platforms, payment gateways, and logistics partners.
- Migrated legacy monolithic systems to Cloud-based Microservices, reducing deployment times and operational costs.
- Containerized services using Docker and orchestrated deployments with Kubernetes to ensure high availability for customer-facing applications.
- Conducted system and performance analysis, optimizing database queries and improving application response times for enterprise applications. Acted as technical consultant to evaluate and select Cloud platforms, tools, and frameworks for data storage analytics, and microservices applications.
- Monitored and upgraded back-end services, decoupling major components to improve reliability, maintainability, and support new business features.
Technical Consultant at Harmony Group of Companies (2014-01 – 2019-01)
Led enterprise architecture and integration strategy for the Harmonica portal, delivering a unified global reporting and orchestration platform across distributed systems; partnered with senior leadership on technology roadmap and SDLC governance while driving business process optimization, Microsoft ecosystem integration, and automated UID/POI-based product tracking—reducing operational costs by 30% and formalizing IT standards and best practices.
Implementation Consultant at Kroll Computer Systems (2012-01 – 2014-01)
- Optimized and modernized database architecture by redesigning schemas and tuning high-volume SQL queries to meet SLAs, while developing diagnostic and support tools.
Implementation Consultant at Manulife Financial (2009-01 – 2011-01)
- Architected and delivered high-performance reporting and automated invoice-processing solutions for the ASO billing system.
Solution Architect & Lead Developer at Prior Professional Experience
Led enterprise banking initiatives, digital transformations, and the development of multi-tier distributed systems and software packages across the financial and technology sectors.
