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salmankhan2545

Salman Khan

@salmankhan2545

AI Trainer Python Developer LLM Code Evaluator

Pakistán
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am an AI Coding Specialist and Python Developer with experience in evaluating, improving, and testing AI-generated code. I work with Python, APIs, backend development, debugging, code generation, and AI model evaluation. I can review AI-generated code for correctness, logic, quality, edge cases, and adherence to requirements. My skills include: • Python • AI-generated code evaluation • Code review & debugging • Prompt engineering • API development • FastAPI, Flask & Django • SQL / MySQL / PostgreSQL • Git & Docker • LLM evaluation and reasoning tasks ... Lee más

Habilidades

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salmankhan2545
Salman Khan
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Corrección de errores
I will fix, debug and improve your python code
DeUSD 10 / proyectoMás información
Integraciones de IA
I will build python ai automation scripts and ai tools
DeUSD 90 / proyectoMás información

Experiencia laboral

Revelo

AI Trainer — Full Stack

Revelo • Freelance

Dec 2025 - Present • 9 mos

Evaluated AI-generated code for correctness, quality, completeness, and reasoning. Analyzed multi-turn AI interactions to identify reasoning gaps and response quality issues. Worked on PR Write tasks using real open-source GitHub repositories and realistic engineering workflows. Reviewed AI-generated code changes for logic, code quality, test coverage, and project standards. Created evaluation rubrics and annotation guidelines for AI training and assessment.

Alignerr

Coding Specialist - AI Trainer

Alignerr • Freelance

Feb 2024 - Sep 2024 • 7 mos

Evaluated LLM outputs across Java, Python, C++, and coding tasks for correctness, performance, and reasoning quality. Designed prompts and evaluation rubrics for edge cases and real-world scenarios. Performed RLHF-style ranking, error analysis, and structured annotations to improve model accuracy. Reviewed AI-generated code for algorithmic efficiency, memory usage, concurrency, and correctness. Contributed to SFT datasets for reasoning and multi-step code generation. Collaborated on GenAI evaluation workflows and pipelines.