Aleena Anam
@aleenaanam1
I build production RAG, agentic automation, and fraud-detection APIs while evaluating frontier LLMs.
IndiaWhat I'm looking for
I've built and deployed a live RAG PDF chatbot using LangChain, FAISS, Hugging Face embeddings, and Gemini 2.5 Flash, delivering grounded answers with exact page citations across 100+ page documents.
At Handshake AI, I author high-complexity LLM benchmark tasks and production-grade reference solutions for algorithmic and geospatial pipelines. Through Labelbox Alignerr, I review model outputs for factual accuracy and build Question–Solution–Answer datasets for LLM training.
I've also deployed a Microsoft Azure fraud-detection REST API trained on 6M+ transaction records and built autonomous agentic workflows for Lenovo LEAP using n8n, OpenAI API, and Google Sheets.
Experience
Work history, roles, and key accomplishments
Selected for a competitive $5,000 contract to evaluate and train frontier AI models on the Labelbox Alignerr platform. Review and validate AI model outputs for factual accuracy, building high-quality Question–Solution–Answer (QSA) datasets used in LLM training.
Education
Degrees, certifications, and relevant coursework
Swami Ramanand Teerth Marathwada University
Bachelor of Science, Computer Science
Grade: 9.1/10
Pursuing a Bachelor of Science in Computer Science with a current GPA of 9.1/10. Coursework includes Machine Learning, Data Structures, Algorithms, and Database Management.
Availability
Location
IndiaAuthorized to work in
Portfolio
rag-pdf-chatbot-a1.streamlit.appJob categories
Skills
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