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Jigyansh RathoreJR
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Jigyansh Rathore

@jigyanshrathore

AI Solutions Analyst at ZampAI who cut eKYC onboarding from days to 45 minutes.

India
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At ZampAI, I designed an AI-enabled verification workflow that cut eKYC onboarding for a UAE-based conglomerate from 3–4 days to 45 minutes across 2K+ applicants. I also designed an AI agent that automated 86% of manual LTL freight invoice auditing.

I served as the primary client interface across two enterprise engagements, discussing requirements, translating operational needs into solution designs, and coordinating engineering delivery. That work included exception-handling and human-review workflows.

At Vaani Research Labs, I designed a multi-level caching system that improved voice-bot stability by 40%, and integrated an LLM-based reranking layer that increased conversational accuracy by 20%. I also developed FastAPI services for low-latency communication across multi-speaker sessions.

At Medoc Health IT, I built a Retrieval-Augmented Generation assistant with LangChain and embeddings, reducing internal insurance query resolution time by 65%. I also built regression-based medical cost prediction models that achieved 91% prediction accuracy, and developed projects including a financial chatbot and a healthcare assistant.

Experience

Work history, roles, and key accomplishments

VL

Machine Learning Intern

Vaani Research Labs

Aug 2025 - Dec 2025 (4 months)

Enhanced voice-bot stability by 40% through a multi-level caching system and increased conversational accuracy by 20% with an LLM-based reranking layer. Developed FastAPI-based real-time services for low-latency multi-speaker communication.

Education

Degrees, certifications, and relevant coursework

Medicaps University logoMU

Medicaps University

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Grade: 8.2

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.2.

CC

Choithram School North Campus

Class XII, General

2020 - 2021

Grade: 88%

Completed Class XII with 88% marks.

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