Speaking at Conf42 Prompt Engineering 2026
Talk on keeping prompts stable as they change, using prompt contracts: structured outputs, explicit invariants, and automated tests.
Highlights
Contribution beyond the day job: conference talks, hackathon judging, peer review and artifact evaluation, and mentoring across the engineering and AI community.

59 entries
Talk on keeping prompts stable as they change, using prompt contracts: structured outputs, explicit invariants, and automated tests.
Trust Issues: When Agents Act for You
Panelist at Trust Issues: When Agents Act for You, on identity, access, and authorization for AI agents.
An IDE-integrated tool for heap dump analysis with in-editor source bridging and LLM-assisted diagnosis
Tool paper on HeapLens in the companion proceedings of SPLASH 2026, the ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications.
With heuristic checks and template fallback
Paper at the GroundLM 2026 workshop, co-located with EMNLP 2026, on keeping generated slide narration tied to what the slide actually contains.
A policy-aligned benchmark and template-level pre-deployment audit
Paper at the GroundLM 2026 workshop, co-located with EMNLP 2026, on how often language-model APIs wrongly flag legitimate Indian financial text messages as fraud.
A four-gate schema-level faithfulness framework and paired benchmark for grounded LLM narrations over structured evidence
Paper at the GroundLM 2026 workshop, co-located with EMNLP 2026, on checking whether a model's written explanation actually follows the structured evidence it cites.
Target-aware retrieval, attributed evidence, and contract-constrained extraction for LitTraceQA
Paper at the GroundLM 2026 workshop, co-located with EMNLP 2026, on the gap between finding the right paper and producing an answer a scorer can verify.
Evidence first, arithmetic second: a system report and failure analysis for DocSem
Shared-task system paper at DocInsights 2026, co-located with EMNLP 2026, on reading a figure out of a PDF before computing with it.
Program Committee member for the IEEE BigData 2026 High School Symposium. Reviewed three student papers against a standard set for high school research.
Test before release. Enforce at runtime.
Talk on governance for tool-using AI agents: why a correct answer can still be unsafe, the three checks that catch it in CI, and the runtime gate that stops it before the action runs.