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Zoya AnsariZA
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Zoya Ansari

@zoyaansari

I’m a software developer intern building AI-powered tools with strong ML and backend skills.

India
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What I'm looking for

I’m looking for a team where I can build and deploy AI-powered features end-to-end—ML + backend + APIs—using strong engineering practices in agile settings. I want opportunities to grow from intern work into production-level systems.

I’m a software developer intern who turns AI ideas into working products—from image generation and anomaly detection to intelligent resume ranking and real-time sign language recognition. In my internships, I built and validated an AI image generation tool with Stable Diffusion APIs, developed Flask backend APIs (Firebase Auth, MongoDB CRUD, and payment integrations), and engineered a semantic resume ranking system using Word2Vec, TF-IDF, and NLP pipelines for contextual matching across 100+ resumes.

I bring a full-stack mindset and a rigorous ML approach, using Python with Scikit-Learn, TensorFlow, PyTorch, and transformer/NLP concepts to ship measurable outcomes. I also build deployable apps with React.js and Docker, and I enjoy designing pipelines for Retrieval-Augmented Generation (RAG), embedding-based retrieval, and AI workflow automation—so the solutions are not only accurate, but also practical and scalable.

Experience

Work history, roles, and key accomplishments

TS

Software Developer Intern

Toss Solutions

Mar 2025 - Jun 2025 (3 months)

Built an AI image generation tool using Stable Diffusion APIs and validated 2,500+ images with an 85% acceptance rate to expand an e-commerce product catalog. Developed Flask backend APIs with Firebase Auth and MongoDB CRUD operations, plus payment integrations for the EnsureKar insurance platform.

Education

Degrees, certifications, and relevant coursework

RR

Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV)

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Bachelor of Technology in Computer Science and Engineering from RGPV, completed between 2021 and 2025. Focused on core computing and engineering coursework.

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