Professional Experience

Designed and owned AI data infrastructure for a biomedical research platform that helps scientists discover and evaluate preclinical evidence faster.

● Led AI-driven biomedical data pipelines processing 100K+ unstructured research artifacts into structured, model-ready datasets.

● Designed and integrated a Retrieval-Augmented Generation (RAG) pipeline enabling LLM-powered literature synthesis for scientific discovery.

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

● Authored and optimized complex Neo4j (Cypher) and PostgreSQL queries to traverse interconnected biological entities and metadata at scale.

● Owned AI workflows across engineering, science, and ML teams, establishing reliability, lineage, and auditability standards in regulated environments.

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

Co-founded and led all engineering for an ambient clinical AI platform that listens to doctor-patient conversations and generates structured medical notes in real time.

● Founded and led the technical vision for an ambient clinical AI platform designed to passively capture and structure doctor–patient conversations.

● Architected LLM + RAG pipelines for real-time transcription and medical note generation, reducing clinician documentation time by ~80%.

● Designed low-latency AI systems spanning fine-tuning, vector search, and inference optimized for clinical workflows.

● Defined the end-to-end technical roadmap from MVP to production, balancing speed, quality, compliance, and security.

● Led hiring and mentorship of engineers; owned infrastructure, data security, and AI system evolution decisions.

● Worked directly with clinicians to validate outputs and align AI behavior with real-world healthcare workflows.

Key Skills: Clinical AI, LLM systems, RAG pipelines, AI architecture, Engineering leadership, Healthcare platforms.

Led engineering for a distributed IoT platform powering hundreds of smart food kiosks — real-time device management, payments, and ML-driven inventory optimization.

● Led development of a distributed IoT + cloud platform managing hundreds of real-time smart kiosk devices across multiple locations.

● Built real-time operations dashboards using React, Node.js, and WebSockets, improving operational visibility and response times by ~30%.

● Implemented Modbus RS485 integrations in Python and Node.js to interface directly with embedded hardware over TCP and serial protocols.

● Owned PCI-DSS–compliant Heartland payment certification, coordinating vendors and auditors to enable secure production payments.

● Applied ML-based forecasting techniques to improve inventory utilization and reduce operational waste.

Key Skills: IoT platforms, Embedded systems, Modbus, WebSockets, Payment systems, PCI compliance.

Owned personalization and analytics for a global language-learning marketplace serving 80K+ active learners, driving conversion through NLP-powered tutor matching and experimentation.

● Led analytics and personalization features used by 80K+ active learners across the platform.

● Initiated and drove development of a persona-based learning framework to model learner intent, goals, and behavior patterns.

● Designed NLP-driven personalization logic improving tutor matching, lesson relevance, and learner engagement.

● Ran controlled A/B experiments across multiple markets, contributing to a sustained ~5% increase in conversion.

● Analyzed experimentation data using Python (Pandas, NumPy) and SQL to influence product and personalization roadmaps.

Key Skills: NLP systems, Personalization platforms, Persona modeling, Experimentation, React, Django.

Built enterprise integrations that connected DataRobot's AutoML platform to the tools customers already used — Excel, Tableau, Snowflake — driving a 70% increase in adoption.

● Integrated enterprise AutoML platforms with Excel, Tableau, and Snowflake, increasing customer adoption by ~70%.

● Built secure, scalable React frontends interfacing with MSSQL, Amazon Redshift, and Snowflake via REST APIs.

● Implemented CI/CD pipelines and automated testing to support ML-backed production releases.

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

● Designed and built MVC-based Node.js applications handling complex, high-throughput client workflows in a SaaS environment.

● Developed GraphQL-powered MeteorJS applications improving data access for financial and legal clients.

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

● Built Android IoT applications (Java/Kotlin) to remotely monitor and control aeroponics systems via MQTT.

● Developed TensorFlow-based neural networks to optimize nutrient delivery and lighting schedules, increasing crop yield.

Key Skills: Android, IoT systems, MQTT, TensorFlow, Neural networks.

● Processed and visualized 3M+ agricultural landmass records using MeteorJS and D3.js, deployed via Docker and Nginx.

● Designed MVP architecture with GraphQL APIs and an NLP chatbot prototype built on Node.js and MongoDB.

Key Skills: Data visualization, GraphQL, NLP prototypes, Docker.

● Redesigned data ingestion workflows integrating NFC readers, scaling throughput to ~1,500 soil samples per day.

● Built high-throughput APIs for plasma spectrometer control processing ~180 samples per hour with real-time visualization.

Key Skills: Real-time systems, Hardware integration, NFC, Scientific data platforms.