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About
Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.
Experience
Data Science AdvisorDell Technologies
Data Science InternThe Clorox Company
Machine Learning Engineer InternToken Metrics
Data ScientistAccenture Services Private Limited
Education
Northeastern University, Khoury College of Computer Sciencesmaster, Artificial Intelligence (2022)
Northwestern University, McCormick School of Engineeringmaster, Computer Engineering (2021)
Key Strengths
Built and deployed production agentic LLM system for technical whitepaper revision via natural-language change requests
Strong grounding strategy: retrieval-coupled generation with citation-required prompts and verification of claims against sources
Performance/cost optimization via dynamic indexing (re-embed only changed sections)
Long-document and structure-preserving generation (headings/tables/format constraints) for enterprise documents
Production reliability engineering for LLM apps (confidence thresholds, clarifying questions/refusals, fallbacks, monitoring)
Scaled orchestration from LangChain to LangGraph for explicit stateful control flow, debugging, retries, and conditional paths
Rigorous evaluation approach: layered testing (unit/golden/adversarial/replay) plus offline and online metrics with canary/A-B releases
Effective collaboration with non-technical stakeholders using transparent UX patterns (diff output, citations) and iterative demos
Reference Highlights
Strongly Recommended
Proactive in researching state-of-the-art techniques
Brings new ideas/techniques to the team
Strong system design contributions (agents, workflow, memory schema)
Takes the lead and acts in the team’s best interest
Excellent stakeholder management
Eloquent communicator
Exceptional at simplifying complex concepts for non-technical audiences
Helps users/testers understand and effectively test the application
Integral in gathering feedback and addressing product gaps
Very knowledgeable in his field
Excited and keen to contribute
Strong communication skills
Able to work with people across various domains
Translates technical concepts into clear, non-jargon language
Helps align on problems and solutions with diverse stakeholders
Contributed strong ideas leading to excellent project remarks
Effective at explaining projects in depth to professors
Supportive teammate who brings others up to speed
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