Ankur Soni

About Ankur Soni

Full-Stack Software Engineer with over 4 years of hands-on experience building and scaling web and cloud applications using Node.js, React, PostgreSQL, and AWS. I specialize in designing event-driven, serverless architectures, automating deployment pipelines, and optimizing data-heavy workflows.At Sciometrix, I led the development of reusable frontend components and interactive dashboards for the Clinicus platform, built high-performance RESTful APIs, and architected a multilingual AWS Transcription pipeline processing 60K + call recordings monthly - reducing manual audit time by 88 %.Previously at Innovya Technologies, I transitioned from a technical-support role for InsightSoftware to full-stack development for Sciometrix, where I automated invoicing, real-time RPM alerts, and serverless data pipelines on AWS.I’m passionate about writing clean, maintainable code, designing scalable systems, and contributing to impactful, data-driven products that improve real-world efficiency.

Experience

1. Software Engineer

   Sciometrix

   May 2024 — Present · Royal Oak, MI, US

   Led the development of reusable front-end components and interactive dashboards for the Clinicus platform using React, Redux, and Tailwind CSS, improving UI consistency and reducing development effort by ~40 %.• Designed, deployed, and maintained scalable RESTful APIs using Node.js (Express) and PostgreSQL, supporting multiple new backend services and core product features.• Serverless Transcription Pipeline: Architected an event-driven AWS pipeline processing 60K multilingual call recordings/month using Amazon Transcribe and Translate. Reduced audit time per call by 88 % and achieved 100 % audit coverage by generating English transcripts as pre-signed S3 URLs surfaced on the React frontend.• Patient Engagement Dashboard: Developed a Node.js backend module to compute complex patient device statuses (“Active,” “Suspended,” “No Reading in 30/60 Days”). Enabled real-time engagement dashboards in Salesforce and the PERN application, helping care teams improve patient adherence.• Healthcare Data Parsing: Engineered a Node.js pipeline to parse complex 835 EDI files, replacing a third-party vendor solution, cutting operational costs and increasing data-processing speed.• Salesforce Decoupling: Optimized and migrated Apex triggers to AWS Lambda functions, decoupling core business logic from Salesforce into a scalable PERN stack architecture.• Designed and optimized advanced PostgreSQL artifacts (stored procedures, triggers, views, CTEs) to enhance query performance and maintain data integrity.• Collaborated with cross-functional teams on Git-based development workflows for Clinicus.ai and mentored junior developers on version control, code reviews, and complex SQL design.

Education

• Institute of Engineering and Technology

  Bachelor of Technology

  2014 — 2018