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Chase K.
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Chase K.

Backend Systems Engineer | Python, APIs, Data Pipelines & AI Workflows

Teams usually come to me when their backend, API, data pipeline, or AI workflow technically works — but is not reliable enough for real usage. I help stabilize systems that are already built but breaking under production conditions: inconsistent data, brittle integrations, unclear API behavior, missing validation, edge-case failures, or AI outputs that are difficult to trust downstream. My work usually falls into three areas: • Backend/API reliability — fixing brittle routes, edge cases, validation gaps, integration failures, and unclear system boundaries • Data pipelines and transformations — building ETL, integration, and transformation layers that produce consistent, validated outputs • AI workflow productionization — turning LLM/API prototypes into structured, testable systems with validation, traceability, controlled outputs, and clear handoff points I work primarily with Python, Node.js, TypeScript, SQL, MongoDB, PostgreSQL, Flask, REST APIs, and LLM/API integrations. A typical engagement might include: • Reviewing an existing backend, API, or pipeline and identifying the real failure points • Refactoring backend logic so behavior is predictable and easier to maintain • Adding validation, structured outputs, logging, and error handling • Fixing data inconsistencies across database, API, and integration layers • Stabilizing AI workflows with deterministic guardrails, retry/review paths, and traceable outputs • Writing clear documentation so the system can be maintained after the fix My Upwork history includes long-term backend/AI platform work, API middleware projects, database implementation, and technical QA engagements where clients needed clear diagnosis, reliable implementation, and strong communication. I’m a strong fit if: • Your system mostly works but fails under real-world usage • Your API, database, or data pipeline is producing inconsistent results • You built something quickly and now need to make it production-ready • Your AI workflow needs validation, structure, and reliability before users depend on it • You need someone who can step into an existing system, find the weak points, and fix them without overcomplicating the solution I’m comfortable working in existing codebases, identifying failure points quickly, and bringing structure to systems that have become hard to trust or maintain. If you’re dealing with an unreliable backend, API, data pipeline, or AI workflow, send an invite and we can define a practical first step.

🇺🇸Littleton, United States$50/hr100% JSS4.73 (9)Since Nov 2024

Earnings and projects

MRR
$2.4k

Last 6 months ÷ 6

World#18,036 / 412k
🇺🇸Country#4,254 / 62.1k
Revenue, last 30 days
$1.5k

Last 6 months: $14k

World#30,070 / 412k
🇺🇸Country#5,228 / 62.1k
Total earnings
$65k

Billed in all: $67k

World#60,740 / 412k
🇺🇸Country#11,474 / 62.1k
Per project
$5k

$2k in the last 6 months

World#34,853 / 412k
🇺🇸Country#5,775 / 62.1k
Projects, last 6 months
7
43% fixed57% hourly
World#28,827 / 412k
🇺🇸Country#4,152 / 62.1k
Projects in all
13
23% fixed77% hourly
World#175,713 / 412k
🇺🇸Country#25,131 / 62.1k

Earnings, last 30 days

$67.4k+$1.5k earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$65k$66k$67k$68kOct 9Oct 24Nov 8

Skill rankings: Top 5% in Flask

Ranked by MRR among everyone on Upwork with the skill.

  1. #86Database Architecture864 freelancers · 🇺🇸 #20Top 10%
  2. #113Flask2,438 freelancers · 🇺🇸 #14Top 5%
  3. #134Database Design2,161 freelancers · 🇺🇸 #32Top 6%
  4. #191LLM Prompt Engineering2,457 freelancers · 🇺🇸 #30Top 8%
  5. #250AI Implementation2,383 freelancers · 🇺🇸 #61Top 10%
  6. #337Git5,766 freelancers · 🇺🇸 #29Top 6%
  7. #376RESTful API6,064 freelancers · 🇺🇸 #38Top 6%
  8. #654MongoDB10,865 freelancers · 🇺🇸 #44Top 6%