Professional Experience

Architected and built a multi-tenant SaaS platform with a production RAG chatbot, owning the system from retrieval architecture through backend delivery and reliable releases.

● Built the RAG pipeline and chatbot experience, improving retrieval quality for customer-facing AI capabilities.

● Designed the multi-tenant SaaS architecture, including backend infrastructure and role-aware access controls.

● Delivered 10+ CI improvements that strengthened release quality and platform reliability.

● Mentored a junior engineer and created reusable AI capabilities for other Rare Days projects.

Key Skills: RAG architecture, LLM chatbots, multi-tenant SaaS, backend infrastructure, access control, CI/CD, technical leadership.

Founded and led all engineering for an ambient clinical AI platform that structures doctor–patient conversations into medical documentation.

● Architected LLM and RAG workflows for real-time transcription and structured note generation, reducing clinician documentation time by about 80%.

● Designed the application, data, and infrastructure foundation for an end-to-end clinical workflow rather than a standalone model demonstration.

● Set the technical roadmap from MVP through production, balancing clinical workflow quality, security, and reliability.

● Worked with clinicians to validate outputs and guide the evolution of the AI system.

● Owned engineering leadership across infrastructure, data security, and technical execution.

Key Skills: Healthcare AI, LLM systems, RAG architecture, full-stack engineering, technical leadership.

Led AI data-platform engineering for biomedical research workflows, turning unstructured scientific evidence into reliable, model-ready data.

● Built AI-driven pipelines processing 100K+ research artifacts into structured datasets.

● Designed RAG workflows that gave scientific teams an LLM-powered path to literature synthesis and discovery.

● Reduced manual data curation by about 60% by standardizing AI-assisted extraction and validation workflows.

● Developed Neo4j and PostgreSQL query paths for interconnected biological entities and research metadata.

● Established data reliability, lineage, and auditability practices across engineering, science, and ML teams.

Key Skills: RAG architecture, LLMs, Neo4j (Cypher), PostgreSQL, AI data pipelines, API design.

Built and operated distributed software for smart food kiosks, spanning device management, payments, operations, and inventory workflows.

● Built real-time operational interfaces with React, Node.js, and WebSockets for visibility into distributed kiosk activity.

● Implemented Modbus RS485 integrations in Python and Node.js to connect cloud services with embedded hardware over TCP and serial protocols.

● Improved database query performance by about 25%, reduced downtime by about 30%, and reduced bug reports by about 40%.

● Delivered production payment workflows and supported payment-certification work alongside device and cloud integrations.

Key Skills: Distributed systems, IoT platforms, payments, embedded integrations, React, Node.js, Python.

Built personalization and analytics capabilities for a global language-learning marketplace serving 80K+ learners.

● Led a cross-functional team delivering student progress-tracking and feedback capabilities for 80K learners.

● Used customer interviews to shape scalable experiments and personalization releases around learner needs.

● Built NLP-driven personalization that increased engagement by 20% and satisfaction by 15%.

● Ran tests and product analysis across markets that contributed to a sustained 5% increase in conversion.

Key Skills: Personalization platforms, NLP, experimentation, React, Django, Python, SQL.

Built enterprise integrations that connected AutoML workflows to customer data and analytics tools.

● Integrated DataRobot with Excel, Snowflake, Tableau, and Alteryx, increasing partner visibility by 70%.

● Delivered integrations with C#, JDBC, Vue, Python/Django, React, and Python/Flask across customer-facing workflows.

● Built custom Jenkins and Kibana CI/CD tooling to make ML-backed releases repeatable and dependable.

● Prototyped Android remote-control flows for an ML-model proof of concept.

Key Skills: AutoML platforms, enterprise integrations, React, Snowflake, CI/CD.

Built SaaS applications for financial and legal teams with an emphasis on complex client workflows and practical data access.

● Designed and built MVC-based Node.js REST APIs for high-throughput client workflows, adhering to OWASP and HIPAA requirements.

● Developed two GraphQL-powered MeteorJS applications for financial and legal customers.

● Automated client intake and pitch-deck generation through full-stack application workflows.

Key Skills: Node.js, GraphQL, MeteorJS, SaaS architecture.

Built software for connected aeroponics systems, combining Android control surfaces, device telemetry, and data-science workflows.

● Built an Android application to monitor and control high-pressure aeroponics firmware through MQTT.

● Connected telemetry and remote-control flows to backend services for system monitoring and operation.

● Developed PyTorch and TensorFlow neural-network models for resource prediction and plant-growth automation, increasing crop yield by 20%.

Key Skills: Android, IoT systems, MQTT, TensorFlow, data science.