
Khyati Khaitan
@khyatikhaitan
I build production AI voice and conversational systems that improve real-time customer ordering outcomes.
What I'm looking for
I'm building production AI voice ordering features at Voiceplug for a multi-tenant QSR platform used across live restaurant deployments. I improved live ordering success rates from 25–30% to 60%+ by resolving entity ambiguity, menu-understanding failures, ASR inconsistencies, and order-validation edge cases.
I optimize real-time ordering workflows with FastAPI, Socket.IO, Redis, MongoDB, and Jinja2-based prompt templating. I work with product, QA, and support teams to turn analysis of 500+ customer interactions into more reliable conversational flows and deployment-ready improvements.
Previously at Bank of America, I built a real-time Rasa chatbot for team-member access retrieval and a database parameter comparison utility, improving efficiency and eliminating environment mismatches. I also led dependency analysis and refactoring across 140+ impacted files and 50+ Python scripts, reducing legacy infrastructure maintenance costs by 20%.
My work spans NLP, RAG, OCR, and multilingual text processing, including Bengali-to-Hindi refinement and a finance-news research tool using LangChain, FAISS, HuggingFace, Groq, and LLaMA 3. I enjoy solving complex production problems, backed by 570+ LeetCode DSA problems and recognition for delivering critical projects without downtime.
Experience
Work history, roles, and key accomplishments
AI Product Engineer
Voiceplug Inc.
Dec 2025 - Present (9 months)
Developed and shipped production-grade AI voice ordering features for a multi-tenant QSR platform, improving conversational reliability and customer ordering experience. Improved live ordering success rates from 25-30% to 60%+ by resolving entity ambiguity, menu-understanding failures, ASR inconsistencies, and order-validation edge cases.
Developed a real-time backend chatbot application using the RASA framework for team member access retrieval, reducing manual checks and improving efficiency by 100%. Led a high-impact domain decommissioning project, executing recursive dependency analysis on 140+ impacted files and refactoring 50+ outdated Python scripts.
Part of the Data Migration team, responsible for extracting, transforming, and exporting confidential clinical data from the company's Millennium application to clients. Wrote and modified HL-7 and CCL scripts for data migration, and leveraged Unix shell scripting and tools like awk, grep, and sed for data processing.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Master of Computer Applications, Computer Applications
2020 - 2022
Grade: 9.13 CGPA
Master of Computer Applications degree from Vellore Institute of Technology, completed in 2022 with a CGPA of 9.13.
West Bengal University of Technology
Bachelor of Computer Applications, Computer Applications
2016 - 2019
Grade: 8.2 CGPA
Bachelor of Computer Applications degree from West Bengal University of Technology, completed in 2019 with a CGPA of 8.2.
Availability
Location
Authorized to work in
Social media
Skills
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