About Me
I'm an AI Engineer focused on building production-grade ML and LLM systems on AWS. Before this role, I worked as a Data Scientist in financial services and earlier as a Chemical Engineer in industrial operations.
That cross-domain path shaped how I work: strong self-learning, structured problem solving, and systems thinking from data to deployment. I turn ambiguous business needs into clear experiments, scalable architecture, and practical rollout plans.
I care about outcomes, not demos. Recent projects delivered 20-30% conversion uplift, ~15% lower acquisition cost, and >90% reduction in manual QA effort in pilot workflows, while balancing accuracy, cost, and governance for real-world adoption.
Quick Stats
- ExpertiseAgentic AI
- FocusLLM Reasoning
- StatusOpen to Collab
Technical Arsenal
Professional Path
Driving innovation through AI, data science, and process engineering across global industries.
Data Scientist (AI & ML Systems)
- Led end-to-end delivery of ML-driven loan propensity models, improving conversion 20-30% and reducing acquisition costs by ~15%.
- Architected and deployed an Agentic RAG system for car price retrieval, delivering ~90% answer accuracy and reducing analyst search time by ~1 to 3 hours per request.
AI Developer & Consultant
- Secured and led an end-to-end AI system engagement, owning project proposal, technical scope, cost estimation, and delivery timeline.
Project Process Engineer
- Provided guidance and oversight to engineering contractors, resulting in on-time, on-budget completion for a ~$50M CAPEX project.
- Identified design adjustments using data, achieving significant capital savings (more than $1M).
Process Engineer (Operations)
- Redesigned key process control parameters, leading to $1M+ yearly margin improvement.
- Used data analysis to develop a catalyst deactivation prediction model, improving catalyst utilization by 30% and saving $0.13M per year.
Process Engineer Intern
- Performed hydraulics sizing for oil & gas fields to ensure optimal system pressure and flow.
- Awarded a scholarship as an Outstanding Intern for exceptional performance and technical contribution.
Education
A solid foundation in analytics and engineering from world-class institutions.
M.S. in Analytics (Data Science)
- GPA: 3.84/4.00
- Thesis: Unsupervised Deep Learning for Real-Time Anomaly Detection in Manufacturing.
B.Eng. in Chemical Engineering
- 1st Class Honors, 3.64/4.00 GPA.
Let's build something epic
Whether you have a question or just want to say hi, my inbox is always open.