Chukwuemeka Okafor, llm engineer

Chukwuemeka Okafor

LLM Engineer, Fine-Tuning & Distillation

Lagos, Nigeria · UTC+1 · 2 years of experience

Chukwuemeka focuses on measurable model behavior, reliable retrieval, and production evaluation.

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Why this profile fits

Evaluation before optimization

Defines datasets, graders, and regression checks so model changes are measured against real failure cases.

Reliable retrieval and tool use

Improves grounding, structured outputs, tool permissions, and recovery behavior for production workflows.

Cost and latency control

Treats task success, response time, and model spend as one production system rather than separate concerns.

Relevant toolkit

PythonLangGraphClaude APIOpenAI GPT APIPostgreSQL

Delivery evidence

Selected work

TriageDistill, Support Ticket Classifier

Fintech scale-up

Replaced a costly frontier-model call in the support pipeline with a distilled, fine-tuned Llama 3 8B trained on synthetic data labeled by the larger teacher model. Delivered a 71% cut in cost per ticket and sub-800ms p95 latency while staying within two accuracy points of the teacher on a held-out eval set.

PythonPyTorch

GroundTruth RAG Eval Harness

B2B legal-tech SaaS

Built a retrieval pipeline over pgvector with reranking and a Braintrust regression suite that scored groundedness and citation accuracy on every change. Diagnosed a chunking bug that was causing confident, wrong answers and lifted answer groundedness from 74% to 91% on the team's eval set.

Pythonpgvector
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Relevant experience

Career timeline

LLM Engineer (Junior)

2024–Present

Devlyn (Client Engagements) · Remote, Lagos, Nigeria

  • Distilled frontier-model behavior into fine-tuned open-weight 7B to 8B models with QLoRA, cutting inference cost per successful task by 60 to 71% across three client engagements.

Associate Machine Learning Engineer

2023–2024

Series-A Fintech Startup · Lagos, Nigeria

  • Fine-tuned transformer classifiers for transaction categorization, raising macro F1 from 0.82 to 0.91 on the internal benchmark.

Machine Learning Intern

2023–2023

AI Software Consultancy · Lagos, Nigeria

  • Prototyped retrieval-augmented chatbots over client documents using pgvector and sentence-transformers, presented to stakeholders as working demos.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Python2 years
PyTorch2 years
Hugging Face Transformers2 years
LLM Fine-Tuning (LoRA / QLoRA)2 years
Retrieval-Augmented Generation2 years
Prompt Engineering & Evals2 years
Knowledge Distillation1 year
Model Quantization1 year
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Languages

PythonTypeScriptSQLBash

Frameworks

PyTorchHugging Face TransformersTRLPEFTLangGraphLangChainFastAPIUnslothAxolotl

Libraries/APIs

Anthropic Claude APIOpenAI APIGoogle Gemini APIbitsandbytessentence-transformersInstructorPydanticGuardrails AIDatasets

Tools

BraintrustLangSmithWeights & BiasesvLLMOllamaDockerGitJupyter

Paradigms

Supervised Fine-TuningKnowledge DistillationLoRA / QLoRADPO / Preference TuningModel QuantizationRetrieval-Augmented GenerationStructured OutputsTool CallingEvaluation-Driven Development

Platforms

Hugging Face HubAWS SageMakerGoogle ColabModalRunPod

Storage

PostgreSQLpgvectorPineconeRedisQdrant

Education

Formal background

B.Sc., Computer Science

University of Lagos · 2019–2023 · Second Class Upper Division (2:1)

Credentials

Certifications

AWS Certified Machine Learning Engineer – Associate

Amazon Web Services · 2022 · Certified

Databricks Certified Generative AI Engineer Associate

Databricks · 2025 · Certified

Communication

Languages

English

Native

Igbo

Native

French

Conversational

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