PARTH JAIRAM

AI Engineer Co-op

• Engineered scalable Retrieval-Augmented Generation (RAG) pipelines to parse complex enterprise datasets, eliminating legacy Excel-based workflows and reducing manual data processing overhead by 85%.
• Architected automated ETL pipelines using Python + Databricks, moving millions of daily records into Azure Data Lake.
• Optimized distributed SQL queries across 10M+ row datasets, accelerating compute latency by 30%.

Founder & Engineer

• Pitched AI-driven clinical workflow architectures to senior medical stakeholders, securing pre-seed funding and MVP buy-in.
• Built a production-grade Android ecosystem with 15+ Gradle modules using Kotlin, Jetpack Compose, and Hilt.
• Implemented real-time WebSocket state sync with row-level security, digitizing 4 concurrent clinical workflows.

AI Software Intern

• Architected scalable REST APIs with FastAPI + Node.js, deploying containerized microservices via GitHub Actions CI/CD to Google Cloud Run.
• Fine-tuned open-source HuggingFace transformers and orchestrated Anthropic API integrations, cutting manual auditing time by 75%.
• Engineered a high-throughput RAG architecture using Pinecone, indexing 250K+ embeddings at sub-50ms latency.
• Designed API Gateways with token-bucket rate-limiting to throttle concurrent LLM requests.

Machine Learning Software Engineer

• Engineered a predictive ML pipeline using XGBoost, Scikit-Learn, Pandas, reaching 86% classification precision.
• Deployed to production, driving a 35% reduction in critical patient emergencies during a 3-month pilot.
• Led a 5-person team building a real-time full-stack analytics platform (React/TS/Node/Firebase), onboarding 50+ healthcare facilities.

Research & Clubs

• Led AI initiatives and mentored student teams across research-driven projects.

• Designed and delivered technical sessions, workshops, and ML-focused learning tracks.