About Murugappan M
I build B2B SaaS for regulated industries, using TypeScript end-to-end and event-driven services on AWS. As the founding engineer on HyperStart CLM, I scaled it from 0 to $300k ARR, and I now lead pharmacy automation with LLMs at MedMe Health.
Full Stack Engineer · Bangalore, India · currently at MedMe Health
Experience
MedMe Health
December 2025 – Present · Toronto (remote)
SWE 2
Leading design of the fax-to-entry platform that automates pharmacy admin work at MedMe Health (YC W21).
- Led development of an LLM-based extractor that turns unstructured patient questionnaire answers into structured medication data. Working through its long tail of edge cases lifted 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, with vendor-agnostic OpenTelemetry traces and metrics across the platform.
HyperVerge
August 2022 – December 2025 · Bangalore (onsite)
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 event-driven job system on AWS SQS and EventBridge that runs all of the platform's async and scheduled work.
- Led the architecture for CRM integrations (Salesforce, HubSpot) that prefill deal data to speed up the client deal-closure pipeline.
- Mentored junior engineers and introduced a standard code-review process 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, one of the product's main selling points.
- Cut contract-listing latency to under 5 seconds across 15,000+ records by restructuring responses and tuning queries.
- Led 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 with Playwright and Docker that gates deployments.
- Benchmarked an open-source PDF converter, then designed and deployed it as a production microservice.
- Built a config-driven UI for stamp-paper procurement, so adding a new Article code is 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, with database schemas and APIs that manage resource access through user groups.
- Built Google Drive and OneDrive integrations that ingest PDFs for the AI extraction workflows.
Samsung R&D Institute India
December 2021 – August 2022 · Bangalore (remote)
R&D Intern (Part-time)
Applied machine learning to anomaly detection for security use cases.
- Built an unsupervised Isolation Forest model that detects anomalous user activity from IP, API URL, and MAC-address signals, an approach that also applies to fraud detection.
- Generated synthetic training datasets and deployed the inference endpoint with Python/Django on Heroku.
Skills
- Languages: TypeScript, Python, SQL, Bash, YAML
- Full Stack: TypeScript end-to-end; React.js, Astro, Node.js, Nest.js, Express.js, Hono; event-driven architecture (Kafka, SQS), microservices, REST APIs
- Observability & Compliance: OpenTelemetry, Grafana (LGTM stack); SOC 2, VAPT, HIPAA
- Cloud & Infra: AWS, Terraform, Docker, GitHub Actions, Cloudflare
Education
Kumaraguru College of Technology
Bachelor of Engineering in Computer Science · June 2019 - April 2023
- Graduated with a focus on distributed systems, databases, and software engineering.
Open source
Vite
A merged fix to Vite (83k+ GitHub stars), the frontend build tool: source maps whose sourceRoot is a URL, as published by packages like domutils and entities, no longer trigger false "outside its package" warnings.
AnkiDroid
3 merged pull requests to AnkiDroid, the popular open-source spaced-repetition flashcard app for Android (11k+ GitHub stars, millions of installs). Contributions include clipboard image paste, a deprecation-API wrapper, and test-configuration improvements.