Builder &
Educator.

Focus
  • AI & Automation Strategy
  • Data Processing & Pipelines
  • Workflow & Operations Design
  • Full-stack Engineering
  • Product Design
  • Technical Mentorship

I engineer digital products, build data pipelines, and architect AI-powered automations. I help ambitious teams streamline operations, turn raw data into decisions, and train professionals to leverage modern AI workflows.

06Years of Experience
100+Professionals Mentored
0-1Idea to Production
E2ERaw Data to Decisions

Expertise

AI & Automation Consultation

Strategic implementation of Large Language Models and custom agents. I guide teams to replace repetitive workflows with resilient, automated systems, saving hundreds of hours.

Advanced Data Processing

Turning messy, high-volume data into clean, reliable assets. I design ingestion, transformation, and enrichment pipelines that make reporting, analytics, and AI dependable.

Workflow Automation

Mapping how work actually flows across tools and teams, then connecting systems through APIs, webhooks, and orchestrated jobs so handoffs happen without manual effort.

Operational Improvement

Finding the bottlenecks, rework, and blind spots in day-to-day operations. I redesign processes, instrument them with the right metrics, and automate the parts that slow teams down.

Full-Stack Architecture

End-to-end development of modern web applications. From responsive interfaces to robust APIs and database design, built for scale and maintainability.

Product Strategy & UX

Translating ambiguous concepts into precise, user-centric experiences. I deliver wireframes, interactive prototypes, and production-ready interfaces that convert.

Technical Mentorship

High-impact, 1-on-1 guidance for engineers and founders. I provide actionable frameworks to accelerate your understanding of modern AI tooling and software architecture.

Capabilities

Data, AI, and automation, working together to make operations faster and smarter.

01

Data Processing

Reliable pipelines from raw inputs to trusted outputs.

  • —ETL / ELT pipeline design
  • —Python, SQL, Pandas & Polars
  • —Data cleaning, validation & deduplication
  • —API ingestion & web scraping
  • —Document & PDF data extraction
  • —Dashboards & KPI reporting
02

Applied AI

LLMs put to work on real business problems.

  • —LLM integration (OpenAI, Anthropic, open models)
  • —Retrieval-augmented generation (RAG)
  • —AI agents & tool calling
  • —Classification, extraction & summarization
  • —Vector search & embeddings
  • —Prompt design & output evaluation
03

Automation & Workflows

Systems that run on their own, without supervision.

  • —n8n, Make & Zapier workflows
  • —Custom API & webhook integrations
  • —Scheduled jobs & event-driven triggers
  • —CRM, email & spreadsheet automation
  • —Human-in-the-loop approvals
  • —Monitoring, retries & alerting
04

Operational Excellence

Leaner processes with measurable impact.

  • —Process mapping & bottleneck analysis
  • —SOP design & documentation
  • —Automation opportunity audits
  • —Metrics, SLAs & performance tracking
  • —Tooling consolidation
  • —Team enablement & change management

Selected Work

Architecture & AI

Enterprise AI Accelerators

Designed and deployed production-grade AI systems that transform unstructured operational data into actionable insights.

Data Engineering

Intelligent Data Pipelines

Built pipelines that ingest data from APIs, documents, and spreadsheets, then clean, deduplicate, and enrich it with LLM-based extraction and classification, producing structured, analysis-ready datasets.

Automation & Workflows

Operations Autopilot

Automated recurring operational work end to end, from intake and triage to approvals, notifications, and reporting, cutting turnaround times and removing error-prone manual steps.

Education

Automation Masterclass

Developed a comprehensive curriculum helping non-technical professionals build their first AI agents and automate daily operations.

Design & Engineering

Conversion-First Platforms

Built performant, high-converting web applications with meticulous attention to typography, interaction design, and core web vitals.

Methodology

01. Discovery

Understand the core business problem, current workflows, and data landscape before writing a single line of code or pushing a pixel.

02. Strategy

Architect the solution, mapping out data models, user flows, and the highest-leverage automation opportunities.

03. Execution

Develop with precision. Rapid prototyping for validation, followed by rigorous production implementation.

04. Refinement

Measure real-world usage and operational metrics, then iterate to make sure the system keeps delivering on its objectives.

Availability

Currently accepting select projects and mentees.