Experience

Key Achievements:

• •Led deployment of RAG-based cognitive mapping models across 12 healthcare domains by validating outputs and integrating them into production, maintaining <2% error rates
• •Improved medical VQA knowledge search accuracy by 18% by iterating on retrieval strategies and context-aware LLM pipelines
• •Engineered fault-tolerant microservices using Docker and Kubernetes, reducing platform downtime by 35% during peak RAG workloads
• •Built scalable pipelines for context-aware LLM inference and domain-specific evaluation to support equitable healthcare information access
• •Designed monitoring solutions for latency, throughput, and anomaly detection to maintain high-reliability inference services

Technologies Used:

Key Achievements:

• •Partnered with MIT researchers to scale context-aware LLMs for healthcare knowledge navigation across underserved domains
• •Guaranteed end-to-end accuracy of RAG-based systems by validating outputs across heterogeneous data distributions
• •Improved robustness of research prototypes by stress-testing LLM pipelines under production-like loads

Technologies Used:

Key Achievements:

• •Led integration of RAG models to enhance contextualized learning and cognitive mapping for healthcare applications
• •Developed methodologies that outperformed baseline VQA systems on domain-specific medical tasks
• •Collaborated with researchers to refine AI-driven data retrieval techniques for real-world deployment

Technologies Used:

Key Achievements:

• •Built a generative AI chatbot to streamline Dell's internal technical documentation and inventory handling, improving engineer task success by 34%
• •Boosted data search efficiency by up to 50% by designing optimized retrieval pipelines and prompt strategies
• •Integrated AI systems with Dell Resilient Systems via Python and REST APIs, reducing incident response latency by 22%
• •Scoped, prototyped, and pitched AI-powered search UI features using Flask, HTML/CSS, IBM WatsonX, and OpenAI APIs to leadership

Technologies Used:

Key Achievements:

• •Developed ML models for hypothyroidism detection, sleep stage analysis, and breast cancer detection using CNNs and clinical datasets
• •Built a medical visual question-answering (VQA) system capable of captioning and answering questions about medical scans
• •Improved diagnostic precision by 12% by applying CNN + NLP techniques to real-world healthcare data
• •Won the Dr. Bob Disruptive Engineering Award for leadership and innovative technical contributions

Technologies Used:

Key Achievements:

• •Advised on automation system architecture by evaluating scalability, reliability, and deployment tradeoffs
• •Improved system reliability by recommending fault-tolerant design patterns for core automation workflows
• •Supported rapid delivery of automation features by bridging system design and engineering execution

Technologies Used:

Key Achievements:

• •Designed and implemented the MCP protocol integrating Google Calendar, Apple Calendar (EventKit), and Apple HealthKit to align productivity with wellness data
• •Architected AWS Lambda, DynamoDB, and Docker microservices handling 10,000+ daily requests with sub-second response times
• •Enabled a 35% increase in user concurrency by designing scalable, cloud-native backend systems
• •Reduced backend latency and app load time by 40% through asynchronous pipelines and intelligent caching strategies
• •Collaborated on LLM provider selection (Anthropic vs OpenAI), reducing system cost and latency by 20%

Technologies Used:

Impact:

• •Founded a nonprofit affiliated with Next Door Solutions to Domestic Violence to support and empower battered women across California
• •Led statewide awareness and advocacy initiatives addressing domestic violence and women's safety
• •Built partnerships with shelters and community organizations to expand access to education and resources
• •Directed organizational strategy, outreach, and program execution to sustain long-term impact

Impact:

• •Founded and led a BPA chapter by designing leadership programs centered on professional development and service
• •Empowered student leaders by creating structured opportunities in competition, learning, and community engagement
• •Managed chapter operations, events, and long-term sustainability planning