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Anthony Gachie

@anthonygachie

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Cloud Infrastructure & Systems Engineer turning AWS/LLM spend data into automated FinOps cost intelligence.

Kenya

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What I'm looking for

I’m looking for a role where I can automate FinOps and AI spend governance on AWS—right-sizing, anomaly detection, and clear engineering/executive reporting—so teams stop wasting LLM API spend while scaling responsibly.

I’m a Cloud Infrastructure and AI Spend Intelligence professional with 4+ years of cross-sector experience designing cost-optimised, high-availability systems across AWS and enterprise environments. I focus on translating infrastructure and LLM spend signals into actionable recommendations for both engineering teams and executive stakeholders.

I founded Weka, a pure SaaS AI spend intelligence platform that detects model overkill and LLM API waste across OpenAI, Anthropic, AWS Bedrock, and Google Vertex AI. I architected a multi-agent detection pipeline using Python and CrewAI—an Analysis Agent running waste routines, a Recommendation Agent scoring findings by savings potential, and a Narrative Agent (Claude API) generating plain-English reports for technical and executive audiences.

I engineered cost-efficient intelligence end-to-end: heuristic pre-filter gates that reduce AI evaluation API cost to near-zero, provider connectors that normalize usage into a canonical event schema, and a quality equivalence evaluation engine using claude-haiku-4-5 for confidence scoring (high/medium/low). I also built a prioritisation formula (Monthly Saving × 1/Implementation Hours × Risk Factor) and a monetisation model with four subscription tiers plus an 18% verified savings share above baseline.

Alongside product engineering, I delivered production FinOps capabilities—like an EC2 Cost Optimization Dashboard in Python with 100% detection of underutilised resources, including a $0.78 cost per 1% CPU usage on t2.micro and ~44% cost differences under equivalent workloads. Earlier, I drove forecasting accuracy improvements, variance controls, and risk reduction in infrastructure portfolios, and I built AWS-hosted analytics dashboards using CloudWatch, Plotly Dash, Flask, and PostgreSQL.

Experience

Work history, roles, and key accomplishments

Current

Founder, AI Spend Intelligence

Current

Weka

May 2026 - Present (1 month)

Founded and architected Weka, a pure SaaS AI spend intelligence platform that detects LLM model overkill and API waste across OpenAI, Anthropic, AWS Bedrock, and Google Vertex AI, delivering automated weekly cost intelligence to engineering teams. Built a multi-agent detection pipeline with heuristic pre-filters to reduce evaluation API costs to near-zero and implemented quality-equivalence testin

FinOps LLM Cost Governance Python AWS Lambda PostgreSQL Cloudwatch Redis OpenAI Anthropic BEDROCK Vertex Integrations

Current

Cloud & Data Systems Analyst

Current

Hemack General Contractors Ltd

Feb 2026 - Present (4 months)

Designed and deployed a centralized tender management system on AWS using Flask, SQLAlchemy, and PostgreSQL, reducing document retrieval and competitive intelligence access time by 30–40%. Built Plotly Dash analytics for real-time bid pipeline KPIs and improved tender win rate by 10–18% over rolling six-month periods using risk-adjusted cost estimation models.

AWS Flask SQLAlchemy PostgreSQL Plotly Cloud Security KPIs REST APIs Data Modeling

Infrastructure Cost & Systems

Kayvira Limited Company

Aug 2024 - Nov 2025 (1 year 3 months)

Owned financial and operational control across a KES 20M–100M+ project portfolio, improving budget visibility by rebuilding forecasting from reactive snapshots to proactive rolling reports. Reduced forecasting errors by 20%, flagged live expenditure variances to reduce financial risk exposure by 10%, and applied value engineering to cut costs by 8–15% without compromising standards.

Value Engineering Risk Management Unit Economics Feasibility Assessment

Procurement & Systems Planner

Abipath Investment Ltd

Jan 2022 - Jun 2024 (2 years 5 months)

Engineered procurement schedules to ensure on-time material availability in over 95% of cases across concurrent projects. Built procurement-vs-budget tracking to improve cost tracking accuracy by 12%, reduced holding costs by 15–25% while maintaining reliability, and negotiated supplier contracts to secure cost savings of 10–18%.

Procurement Budgeting Inventory Control Scheduling Risk Adjusted Planning Supply Chain Optimization

Research & Cost Analyst

Independent Contractor

Jul 2021 - Jan 2022 (6 months)

Delivered cost and economic analyses for 2–3 clients across construction and supply-chain environments, identifying inefficiencies worth 10–20% in recoverable savings per engagement. Built reusable evaluation templates and structured reporting cycles to cut variance detection time by 25%, shifting clients from end-of-month surprises to early-warning visibility.

Economic Analysis Templates Savings Identification Performance Tracking

Education

Degrees, certifications, and relevant coursework

Egerton University

Bachelor of Arts, Economics & Sociology

2016 - 2021

Bachelor of Arts in Economics and Sociology, covering quantitative analysis, econometrics, research methods, and data-driven decision making that underpin cost modelling and infrastructure economics work.