Emon Sarker

• Sole developer of the platform replacing Colabora, the legacy PHP tool a research team uses to edit a digital edition of Alfonso X's General Estoria
• Built a TypeScript monorepo (NestJS, React, PostgreSQL, MinIO) with a folio-based edit, annotate, translate and publish workflow in four languages
• Migrated 986 sections, 684 facsimile scans and 2,050 notes, and recovered 986 translation files from shared storage with no parse failures
• Enforced role and language-scoped permissions through an endpoint authorization inventory, with 501 tests passing at the August audit
• Packaged the stack with Docker Compose and Caddy, with a corpus seeder and checksum-verified backup and restore

Client: ProposalAI (Toronto, Ontario, Canada)

• Owned and shipped an AI spreadsheet editor generating thousands of rows (React, NestJS, Phoenix, FastAPI)
• Cut large-spreadsheet load latency 9x by compressing payloads 105x with gzip and custom data transformers
• Architected a high-recall GenAI data pipeline using LanceDB and PostgreSQL, reducing model hallucination to 0.5%
• Offloaded bulk generation to BullMQ and Redis workers, keeping the editor responsive during long-running LLM jobs
• Built unit and end-to-end coverage with Vitest and Playwright in GitHub Actions, catching regressions before release

Client: Perle AI (San Francisco, California, US)

• Built secure, high-concurrency REST APIs and backend matching services in Node.js/PostgreSQL serving 10,000+ active users with sub-100ms p95 response times
• Cut manual review 10 hours/week with an LLM-as-judge evaluation service in Python (OpenAI SDK, PostgreSQL)
• Built a WebSocket sync layer that pushed updates to users instantly, removing the 30-second refresh delay
• Sustained 99.9% uptime on a multimodal inference pipeline serving 100,000+ image, audio, and text files, built with FastAPI and Redis task queues

Internal

• Mentored 6 engineers and led 2 teams for both internal and client projects
• Built internal tools, scoped requirements with client stakeholders, and interviewed candidates for engineering roles

Client: MedMe Health Ltd. (Toronto, Ontario, Canada)

• Built scheduling features in React, GraphQL, and NestJS for a pharmacy platform serving 413,000+ patients, within a 40-engineer organization
• Handled sensitive healthcare data in compliance with GDPR and HIPAA standards

• Designed novel LLM memory architectures, improving persuasion strategy selection accuracy 30% over baseline
• Built research software in Python: A/B testing infrastructure for LLM responses and Tobii eye-tracking data tooling