Hello, I'm Sidd! I'm an AI Research Engineer based in Pittsburgh, PA. I build AI-native products at Amazon Web Services and am pursuing a Master's in Computer Vision at Carnegie Mellon University's School of Computer Science (Robotics Institute).
Before this, I built production ML systems for AWS Bedrock, Amazon Transcribe, and Amazon Translate, working across speech and language. I earned my Bachelor's in Mathematics-Computer Science from UC San Diego in 2022.
Featured In & Press
Experience
Amazon Web Services
Aug 2022 — Present
AI Research Engineer
Sep 2025 — Present · Generative AI Innovation Center · Pittsburgh, PA
Machine Learning Engineer until Aug 2026
Sole engineer on an AI-native engineering platform and multi-agent system that lets enterprise and public-sector teams create, deploy, govern and audit AI agents in one place. Designed a protocol from scratch that lets agents operate virtual machines inside AWS data centers, opening a secure and auditable path for agent deployment. Lead agentic AI projects for AWS partners and customers, running working sessions with C-suite executives at a European insurer and a US public-sector energy organization.
Software Development Engineer II
Apr 2024 — Sep 2025 · AWS AI · Bedrock Generative AI Services · Seattle, WA
Feature lead across Amazon Transcribe, Bedrock Data Automation and Amazon Translate. Built speech-recognition models up to 30% faster and 2x more accurate on multilingual transcription, and served as technical lead for Amazon Translate across 30+ enterprise customers.
Software Development Engineer
Aug 2022 — Apr 2024 · Lambda · App Runner · Elastic Beanstalk · Seattle, WA
Led the AWS WAF integration into the Copilot CLI so App Runner applications ship secure by default, built an automated testing suite for the App Runner console, and helped launch App Runner in three new regions.
Teradata
Jul 2021 — Sep 2021
Software Engineer Intern
Jul 2021 — Sep 2021 · San Diego, CA
Restructured large-object storage in the TeraCloud architecture, improving computation efficiency by roughly 50%.
Research & Publications
Research Agents Feed Doubts, Not Beliefs: Auditing Belief Framing in Live-Web Search
Siddharth Vohra, Min Xu
Four web-search agents tested on 48 expert-checked health claims across 1,874 runs. Stating doubt shifted every system toward rejection and more than doubled searches seeking disconfirming evidence. Replay tests traced roughly three quarters of the shift to how agents read the evidence they retrieved.
29 October 2026 · Budapest, Hungary
Academic Service
Conference peer review
Reviewer and programme committee member at NeurIPS, ICML, EMNLP, MICCAI and ACM KDD, covering mechanistic interpretability, biomedical retrieval, and the robustness and safety of agentic AI systems.
- NeurIPS 2026
- Ethics Review, main conference · Symmetry and Geometry in Neural Representations · AI for the Global South · Trustworthy AI for Good · AI for Meta-Science: Scaling and Organizing Science in the Age of AI Scientists · AI for Drug Discovery: Bridging the Translation Gap · Interpretability for Discovery: Understanding and Discovering Novel Knowledge in AI Models · Grounded and Faithful Vision-Language Models for Real-World Deployment · Continual Learning for Enterprise AI Agents · Dynamics at the Frontiers of Learning, Sampling and Games · AI and the Self: Human Identity, Authenticity and Agency in the Age of AI
- EMNLP 2026
- Grounding Language Models: Learning Faithfully and Efficiently · Workshop for Research on Agent Language Models
- COLM 2026
- Context Beyond the Window: Persistent Knowledge in Language Models · Social Simulation with LLMs: Fidelity in Applications · Workshop on Efficient Reasoning
- ECCV 2026
- Women in Computer Vision · Computer Vision for Ecology
- ICML 2026
- Compositional Learning: Safety, Interpretability and Agents
- MICCAI 2026
- Workshop on AI for Safe Surgery
- ACM KDD 2026
- Programme Committee · Agentic Software Engineering (SE 3.0): The Rise of AI Teammates
- IJCAI-ECAI 2026
- Workshop on AI for the Global South
- ACM SIGCITE 2026
- Main conference
Hackathon judging
Invited to the judging panels of flagship university hackathons at Carnegie Mellon, UC San Diego and Cincinnati, deciding awards across competitive fields of several hundred teams.
- HackCMU 2025
- ACM@CMU, Carnegie Mellon University · September 2025 · 600+ participants, 100+ submissions
- DiamondHacks 2025
- ACM at UC San Diego · April 2025 · 650+ registrations, 95 projects
- RevolutionUC 2025
- ACM@UC, University of Cincinnati · March 2025 · 873 applications, 300 selected
Recognition
IEEE
Member #96729838
Member, Pittsburgh Section
Member in good standing of the Institute of Electrical and Electronics Engineers, valid through December 2026.
ACM
Member since May 2026
Professional Member
Admitted to the Association for Computing Machinery having fulfilled the requirements for Professional Membership.
2026
Gemini Academic Program Award
$20,000 in Google Cloud credits for Gemini foundation-model research and multimodal evaluation audits.
Education
Carnegie Mellon University
Expected Dec 2026
M.S. Computer Vision
School of Computer Science, Robotics Institute.
University of California, San Diego
2019 — 2022
B.S. Mathematics-Computer Science
Cum laude, Provost Honors all quarters. Founding and principal member of the Machine Learning Club.