
Nivakaran S
AI Engineer: LangGraph Agents, LLM Apps and Full Stack
Kompetenzen

Meine Dienstleistungen


Portfolio
Arbeitserfahrung
Associate AI Engineer
Confidential • Vollzeit
Mar 2026 - Present • 8 mos
- AI agent safety: designed deterministic agent harnesses with fail-closed security and workflow-level permissions for a clinical platform. - Compliance engineering: built tamper-evident, long-retention access logging to meet HIPAA requirements. - Full stack and mobile: shipped the Android app to Google Play and redesigned the over-the-air update architecture to close operational and security gaps. - Clinical workflow: worked with clinical reviewers on patient-facing alert design and regulatory constraints. - Built ML prediction pipelines.
Collections Associate
HealthRecon Connect • Vollzeit
Jan 2026 - Jul 2026 • 6 mos
- Followed up on outstanding healthcare accounts to support efficient collections and reimbursement processes. - Researched unpaid claims and account discrepancies to identify issues affecting payment resolution. - Collaborated with insurance payers and internal teams to resolve billing and account-related concerns. - Documented account actions clearly and maintained accurate records across collection workflows. - Assisted in managing denials, delays, and reimbursement follow-ups within operational timelines. - Contributed to daily collections performance in a structured, target-oriented environment
Medical Documentation Specialist (Medical scribe)
Healthcare • Vollzeit
Jun 2022 - Dec 2024 • 2 yrs 6 mos
- Worked as the primary scribe for a US cardiologist, and have worked with multiple US providers across multiple specialties, documenting real-time patient encounters, diagnoses, transcriptions and treatment plans at Medsource Healthcare LLC. - Trained and supervised junior scribes in EHR systems, cardiology-specific terminology and efficient content capturing protocols. - Structured and managed high-volume clinical datasets (e.g., echocardiograms, medications, lab results) - Collaborated with doctors to summarize complex medical histories into actionable clinical notes, improving data usability. - Optimized clinical workflow by reducing documentation time.