Every service backed by a public repo with tests, CI, and a working demo. Every service backed by 1,768 hours of certifications.
Document-grounded Q&A with hybrid retrieval (BM25 + vectors), source citations, and prompt engineering lab.
Timeline: 1–3 weeks · Deliverables: Deployed RAG app, ingestion pipeline, evaluation report
Certified: IBM RAG & Agentic AI (24h), IBM GenAI Engineering (144h)
Discuss This ServiceCoordinated AI bot systems with cross-agent handoff, confidence-based routing, and conversation state management.
Timeline: 2–4 weeks · Deliverables: Agent system, handoff logic, monitoring dashboard
Certified: IBM RAG & Agentic AI (24h), Deep Learning (120h)
Discuss This Service89% token cost reduction methodology. Cache layer design (L1 in-memory, L2 Redis, L3 PostgreSQL), prompt optimization and model routing, multi-provider orchestration.
Timeline: 1–2 weeks · Deliverables: Cost audit, cache implementation, before/after metrics
Certified: LLMOps — Duke (48h), GenAI Strategic Leader (40h), AI & ML Engineering (75h)
Discuss This ServiceA/B prompt testing, version management, evaluation scoring (faithfulness, relevance, completeness), and cost optimization.
Timeline: 3–5 days · Deliverables: Prompt library, A/B test results, evaluation framework
Certified: IBM GenAI Engineering (144h), ChatGPT Automation (30h)
Discuss This ServiceUpload labeled data, auto-detect task type, train classifier/regressor with feature importance (SHAP) and evaluation metrics.
Timeline: 1–2 weeks · Deliverables: Trained model, SHAP report, prediction API endpoint
Certified: Deep Learning (120h), Google Adv. Analytics (200h), AI & ML Engineering (75h)
Discuss This ServiceAuto-profiling, chart auto-selection, interactive filters. Upload CSV/Excel and get instant dashboards with Plotly.
Timeline: 3–5 days · Deliverables: Streamlit app, deployed dashboard, data profiling report
Certified: Google Data Analytics (181h), Google BI (80h), IBM BI Analyst (141h)
Discuss This ServiceFirst-touch, last-touch, linear, and time-decay models. Channel-level ROI comparison with interactive visualizations.
Timeline: 3–5 days · Deliverables: Attribution model, channel comparison dashboard, CSV export
Certified: Google Digital Marketing (190h), Google Adv. Analytics (200h)
Discuss This ServiceDeduplication (exact + fuzzy), column standardization, missing value imputation, and automated quality reports.
Timeline: 2–4 days · Deliverables: Cleaning pipeline, quality report, cleaned dataset
Certified: Google Data Analytics (181h)
Discuss This ServiceGenerate branded reports with charts, profiling summaries, and insights. Exportable markdown and PDF output.
Timeline: 2–3 days · Deliverables: Report template, generation pipeline, sample outputs
Certified: IBM BI Analyst (141h), Data Visualization (87h)
Discuss This ServiceYAML-configurable scrapers, competitor price tracking with historical charts, change detection, alerts, and SEO content scoring.
Timeline: 3–5 days · Deliverables: Scraper config, monitoring dashboard, alert setup, SEO reports
Certified: Google Digital Marketing (190h)
Discuss This ServiceUpload .xlsx, auto-detect schema, generate a Streamlit CRUD app with SQLite backend and data migration.
Timeline: 3–5 days · Deliverables: Streamlit CRUD app, SQLite database, data migration script
$500–1,500
Add Claude/GPT/Gemini to an existing app. API integration, prompt templates, error handling, cost tracking.
Timeline: 2–5 days
Get Started$800–2,000
Streamlit dashboard from your data source. Auto-profiling, 3–5 interactive charts, filters, export to PDF.
Timeline: 3–5 days
Get Started$1,000–3,000
Custom AI chatbot with your knowledge base. Document ingestion, retrieval, cited answers, deployed and tested.
Timeline: 5–7 days
Get StartedComplete analytics pipeline from raw data to executive reports.
15% off hourly rate · ~2 weeks
Discuss BundleEnd-to-end AI agent system with evaluation and optimization.
15% off hourly rate · ~3 weeks
Discuss BundleEmail me or reach out on Upwork with a brief description of your project. I'll respond within 24 hours with questions and a rough scope estimate. First 30-minute discovery call is free.
Discovery (understand your requirements) → Architecture (design document for your review) → TDD Build (tests first, CI on every push) → Delivery (deployed, documented, with demo mode). You have visibility into progress via GitHub throughout.
Yes. Most of my work involves integrating AI capabilities into existing systems. I'll start with a codebase review and propose changes before writing any code.
Architecture-level changes are discussed before implementation starts. Once we agree on the design, implementation follows TDD so changes are safe to make. Scope changes mid-project are handled transparently with updated estimates.
Absolutely. The Quick Wins tier ($500–$3,000 fixed price) is designed for exactly this. Start with an LLM Integration or Dashboard MVP and scale up from there.
Browse the 19 certifications and 8 public repos that back these services, then reach out.