About Murugappan M

Software Engineer II

Leading design of the event-driven RPA platform that automates pharmacy admin work at this YC-backed healthtech startup.

• Led development of an LLM-based extractor that turns unstructured patient questionnaire answers into structured medication data — solving a long tail of edge cases to lift fax-to-entry accuracy from ~60-65% to 95%+.
• Drove HIPAA compliance: access-logged S3 buckets, PHI/PII scrubbing from logs, and server-side encryption of data at rest.
• Made every service debuggable from one Grafana view — vendor-agnostic OpenTelemetry traces and metrics across the platform.

SDE 2

April 2025 – December 2025

Owned core platform architecture for HyperStart, the company's contract lifecycle management (CLM) product.

• Cut infrastructure spend to a 10% MRR-to-server-cost ratio by profiling usage and reallocating resources over 3 months.
• Built the platform's backbone for all async and scheduled work — an event-driven job system on AWS SQS and EventBridge.
• Led the architecture for CRM integrations (Salesforce, HubSpot), automating data prefilling to streamline the client deal-closure pipeline.
• Mentored junior engineers and established standardized code-review protocols to raise code quality.

SDE 1

July 2023 – March 2025

Founding engineer on HyperStart CLM, owning features from design through to customer outcome as the product scaled to $300k ARR.

• Architected an LLM-based pipeline that extracts metadata from signed contracts — a core driver of the product's value proposition.
• Cut contract-listing latency to under 5 seconds across 15,000+ records by restructuring responses and tuning queries.
• Spearheaded VAPT and static code analysis for SOC 2 compliance, hardening API Gateways and Auto Scaling Groups.
• Built an end-to-end testing pipeline in GitLab CI using Playwright and Docker to ensure stability before deployments.
• Designed and deployed a PDF-conversion microservice, benchmarking and operationalizing an open-source tool for production use.
• Built a config-driven UI for stamp-paper procurement, reducing the effort to add new Article codes to a single JSON change.

SDE Intern

August 2022 – June 2023

Built core ingestion and access-control foundations for the CLM platform.

• Built a Role-Based Access Control (RBAC) system — database schemas and APIs to manage resource access via user groups.
• Developed Google Drive and OneDrive integrations enabling seamless PDF ingestion for AI extraction workflows.

R&D Intern (Part-time)

Applied machine learning to anomaly detection for security use cases.

• Built an unsupervised Isolation Forest model to detect anomalous user activity from IP, API URL, and MAC-address signals — applicable to fraud detection.
• Generated synthetic training datasets and deployed the inference endpoint with Python/Django on Heroku.