Sanskar Jain

Software Engineer

Bengaluru, Karnataka, India5 yrs 1 mo experience

Key Highlights

Led implementation of key features in healthcare applications.
Achieved high web performance scores with optimization techniques.
Developed innovative speech-to-text service for customer insights.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Healthcare technology.

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Skills

Core Skills

Next.jsAws

Other Skills

API DevelopmentAWS Step functionsAWS TranscribeAlgorithmsAmazon Web Services (AWS)Arduino IDEBack-End Web DevelopmentC++Cascading Style Sheets (CSS)Data StructuresDatabase SystemsDatabasesEngineeringExpress.jsFront-End Development

Experience

5 yrs 1 mo

Total Experience

1 yr 10 mos

Average Tenure

1 yr 3 mos

Current Experience

Firstwork (yc s24)

Software Engineer

Mar 2025 – Present · 1 yr 3 mos · United States

Medibuddy

2 roles

Software Development Engineer 1

Jun 2023 – Feb 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

❐ Led the implementation of the new elastic search feature for the UI of offline doctor consultation service, including lat-long-based search integration (Next.js, Tailwind CSS, Google Maps SDK).
❐ Part of the team leading the migration from microservices to a mono-repo architecture
❐ Migrated core flows like medicine service from AngularJS to NextJS with TypeScript
❐ Developed a reusable component library using shadcn/ui and tailwindcss, reducing development time and ensuring design consistency across multiple web apps
❐ Improved core web vitals to optimize the web performance of the new medicine service to achieve a Lighthouse score of 96.
❐ Standardized token management using cookies (authentication, security, consistency) across all frontend services, including the cleanup of outdated cookies for legacy users (maintenance, optimization), thereby improving landing conversion.
❐ Developed a speech-to-text service analyzing customer service calls to generate valuable product insights using AWS Transcribe, AWS Step functions, and GPT. This project was the first runner-up in the Data Science Hackathon. Later, it was used to automate the Customer Service QC process (96% accuracy, 3x efficiency)

Next.jsTailwind CSSGoogle Maps SDKTypeScriptAWS TranscribeAWS Step functions+2