Hey
, I'm Parth!
Hi, I'm Parth Maniar โ a Senior Software Engineer building clinical AI + data platforms in the US ๐บ๐ธ (originally from India ๐ฎ๐ณ). I like shipping reliable systems, automation, and pragmatic ML/LLM workflows. Also: Iโll pick chai โ over coffee any day.
- ๐จ๐ปโ๐ป Senior Software Engineer @ Alto Neuroscience โ clinical intelligence, platform reliability, and LLM-assisted workflows
- ๐ง Building LLM-powered reviewer assistants + human-in-the-loop automations for clinical operations
- ๐ Shipping unified dashboards across clinical / ops / finance data
- ๐ Improving security posture with automated cloud scanning + compliance-minded workflows
- โ๏ธ Writing about building production systems + LLMs: parthmaniar.tech
- Built Altoโs unified clinical intelligence dashboard integrating 6+ datasets, cutting data retrieval time by ~50% and saving ~$100K/year
- Architected and launched โRaterBotโ, 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% โ ~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: [email protected]
- LinkedIn: https://www.linkedin.com/in/parthdmaniar/
- Website: https://parthmaniar.tech
- Idempotency Is Your Systemโs Seatbelt: Building Reliable APIs & Job Queues
- The LLM Shipping Checklist: From Demo to Production (Without Getting Burned)
- Retrieval Augmented Generation: Building LLMs That Know Their Limits
- AI Agents vs Agentic AI: The Critical Distinction Explained
- Understanding PCA and t-SNE: A Comparative Analysis for Dimensionality Reduction






