Hey 
, I'm Parth!
Hi, I'm Parth Maniar — a Senior Software Engineer building clinical AI + data platforms in the US 🇺🇸 (originally from India 🇮🇳). I like shipping reliable systems, automation, and pragmatic ML/LLM workflows. Also: I’ll pick chai ☕ over coffee any day.
- 👨🏻💻 Senior Software Engineer @ Alto Neuroscience — clinical intelligence, platform reliability, and LLM-assisted workflows
- 🧠 Building LLM-powered reviewer assistants + human-in-the-loop automations for clinical operations
- 📊 Shipping unified dashboards across clinical / ops / finance data
- 🔐 Improving security posture with automated cloud scanning + compliance-minded workflows
- ✍️ Writing about building production systems + LLMs: parthmaniar.tech
- Built Alto’s unified clinical intelligence dashboard integrating 6+ datasets, cutting data retrieval time by ~50% and saving ~$100K/year
- Architected and launched “RaterBot”, an LLM-powered reviewer assistant (AWS Bedrock + OpenAI), reducing manual eligibility review effort by ~60%
- Established security automation with Prowler (vuln scans + secrets audits) to strengthen HIPAA / SOC2 / GDPR readiness
- Scaled test automation with Pytest + Playwright + GitHub Actions, growing coverage from <10% → ~75% across 15+ clinical trial apps
- Built a cloud-native Reports Portal (S3, Cognito, CloudFront) to unblock QA + reduce reporting latency by ~70%
Languages: Python, TypeScript/JavaScript, SQL, Java, R
Cloud/Data: AWS (Lambda, S3, Cognito, CloudFront, EC2), Snowflake, BigQuery, MongoDB
AI/ML: LLMs, NLP, deep learning, clustering, statistics, TensorFlow, scikit-learn
Platform/Dev: Docker, Kubernetes, Airflow, GitHub Actions, Pytest, Playwright, REST APIs
- Email: officialparthmaniar@gmail.com
- LinkedIn: https://www.linkedin.com/in/parthdmaniar/
- Website: https://parthmaniar.tech
- Data Contracts Before Dashboards: Stop Shipping Silent Data Bugs
- Feature Stores Are Optional. Feature Consistency Is Not.
- Why Your RAG System Needs a Failure Budget
- Idempotency Is Your System's Seatbelt: Building Reliable APIs & Job Queues
- The LLM Shipping Checklist: From Demo to Production (Without Getting Burned)
