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Tanvi SharmaTS
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Tanvi Sharma

@tanvisharma2

I build scalable backend systems, real-time pipelines, and AI-powered web applications.

India
Message

At DarioHealth, I build event-driven and eligibility-processing systems that support high-volume healthcare workflows. I designed Kafka architecture across 4+ microservices, created a reusable Python package for producers and consumers, and enabled processing of 1M+ events daily.

I also engineered an automated eligibility pipeline handling 10M records per day, with structured failure reporting, S3 uploads, and async stakeholder alerts. My work has included migrating legacy eligibility infrastructure, improving security across five microservices, and delivering zero-downtime Node.js upgrades.

I led DarioMind's accessibility overhaul, resolving 100+ WCAG 2.1 issues and helping achieve VPAT certification for Amazon renewal requirements. I enjoy building practical backend products, from secure Flask APIs and real-time coaching chat to reliable analytics and operational tooling.

Outside work, I built SpendWise, an AI-powered personal finance tracker with MERN, Flask, PostgreSQL, MongoDB, Docker, and Google Gemini function calling. It includes AI-assisted expense operations, feature flags, recurring transactions, budgeting, and analytics dashboards.

Experience

Work history, roles, and key accomplishments

DA
Current

Software Developer

DarioHealth

Apr 2025 - Present (1 year 5 months)

Designed and implemented an event-driven architecture using Apache Kafka for real-time event tracking across 4+ microservices, processing 1M+ events/day. Engineered an automated eligibility file processing pipeline handling 10M records daily, and led accessibility overhaul of DarioMind application, resolving 100+ WCAG 2.1 violations.

Education

Degrees, certifications, and relevant coursework

Panjab University logoPU

Panjab University

Bachelor of Engineering, Computer Science

2020 - 2024

Grade: 8.72/10.0

Pursued a Bachelor of Engineering in Computer Science at Panjab University, achieving a CGPA of 8.72/10.0.

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