Looking for a job

Ainy Khan

@ainykhan

Message

I build and deploy machine learning and generative AI applications for practical decision-making.

India

Message

What I'm looking for

I'm looking for an AI, machine learning, or data role where I can build and deploy practical models, work with generative AI, and deepen my experience with production-grade systems.

I've built and deployed AI systems spanning document similarity, fraud detection, personal finance, and medical imaging. At Edunet Foundation (Microsoft), I developed an NLP document-similarity system for 1,000+ documents, delivering ~90% duplicate-detection precision and sub-second comparisons.

I've also deployed Dockerized FastAPI fraud models and built a Gemini-powered Streamlit finance assistant. My work combines Python, machine learning, Azure, RAG, prompt engineering, and rigorous AI data evaluation.

Experience

Work history, roles, and key accomplishments

Current

AI Data Annotator & QA Reviewer

Current

Appen (CrowdGen)

Jul 2026 - Present (2 months)

Create accurate, context-based image captions following project guidelines and quality standards. Review annotated work as a QA Reviewer, identifying errors and inconsistencies to ensure high-quality AI training data.

Data Annotation Quality Assurance Image Captioning AI Training Data

AI Data Annotator & LLM Evaluation Associate

DataAnnotation

Oct 2025 - Dec 2025 (2 months)

Evaluated and ranked LLM-generated responses using predefined quality, accuracy, and relevance standards. Identified hallucinations, bias, and factual inconsistencies while following annotation guidelines and SLAs.

LLM Evaluation Data Annotation Quality Assurance Prompt Engineering

AI Azure Intern

Edunet Foundation (Microsoft)

May 2025 - Jun 2025 (1 month)

Built an NLP-based document similarity system processing 1,000+ documents with ~90% duplicate detection precision. Trained and evaluated models in Azure Machine Learning, achieving 40% faster comparisons using vectorized cosine similarity.

NLP Azure Machine Learning Azure App Service Azure Storage Cosine Similarity Document Matching

Project Intern

Infosys Springboard

May 2024 - Jul 2024 (2 months)

Developed XGBoost and LightGBM models for fraud detection, evaluating performance using precision, recall, and ROC-AUC. Led model development, tuning, and validation, deploying the selected model as a Dockerized FastAPI service.

XGBoost LightGBM Fraud Detection Model Evaluation Docker fastAPI