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Khushi ChoukseyKC
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Khushi Chouksey

@khushichouksey

Associate Software Engineer building production AI/ML and conversational systems with RAG and agentic workflows.

India
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What I'm looking for

I’m looking for a role where I can build and ship production AI/ML systems—especially RAG and agentic conversational experiences—while owning backend APIs and cloud deployments, ideally in a team that values evaluation, iteration, and clean engineering.

I’m a final-year Computer Science student at IIIT Surat and an Associate Software Engineer with 4+ months of industry experience building AI/ML systems at MAQ Software. I focus on shipping production-ready solutions—especially conversational and agentic AI—backed by solid backend APIs.

At MAQ Software, I shipped a production Microsoft Teams Media Bot using Microsoft Graph APIs to intercept and process live meeting audio. I also built an NLP + LLM pipeline that combines speech-to-text transcription with LLM-generated interview questions, cutting interviewer prep time by ~40%.

I’ve delivered multiple GenAI and Agentic AI workflows on Azure, applying prompt engineering and evaluation-driven iteration to improve output accuracy by ~25%. For targeted automation, I built end-to-end agentic workflows on Azure AI Foundry, reducing manual intervention by ~50% and deploying a conversational chatbot to save ~3 hours/week of engineering time.

My project work mirrors my production mindset: I built an Agentic Contract Intelligence System with FastAPI, React, Groq LLM, and RAG (ChromaDB + SQLite fallback) to cut manual review time by ~70%. I also created an NL2SQL AI Assistant with semantic retrieval (FAISS + Sentence Transformers) that reduces query-writing effort by ~60%, and I’ve developed full-stack REST applications in the MERN stack.

Experience

Work history, roles, and key accomplishments

MS
Current

Associate Software Engineer

MAQ Software

Jan 2026 - Present (4 months)

Built a production Microsoft Teams Media Bot using Microsoft Graph APIs to process live meeting audio and eliminate manual note-taking; designed an NLP pipeline with speech-to-text plus LLM-generated interview questions, cutting interviewer prep time by ~40%. Deployed on Azure VM with NSG firewall rules and end-to-end SSL/TLS, and delivered agentic/genAI workflows that improved LLM output accuracy

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology Surat logoIS

Indian Institute of Information Technology Surat

Bachelor of Technology, Computer Science

2022 - 2026

Grade: CGPA: 7.91/10

Bachelor of Technology in Computer Science (CGPA: 7.91/10) at IIIT Surat from 2022 to 2026.

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