Shalini Agarwal
@shaliniagarwal1
I build scalable backend systems, data pipelines, and conversational AI that improve production performance.
What I'm looking for
At the Research Foundation of SUNY, I build backend services for a real-time conversational system that streams speech-to-text, LLM responses, and WebSocket delivery across 20 conversation turns. I reduced LLM response latency by 50%, strengthened reliability across 8+ runtime failure modes, and improved monitoring accuracy by 30%.
Previously at Wipro, I delivered healthcare applications, data pipelines, automated ICD-10AM coding, and EHR indexing tools processing thousands of records and 100,000 files. I’ve also built conversational AI research systems at SUNY Buffalo and shipped an SEO-focused article display-time feature across Yahoo properties.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
The Research Foundation of SUNY
Jul 2024 - Apr 2026 (1 year 9 months)
Designed and implemented backend services for a real-time conversational system, orchestrating streaming speech-to-text, LLM-based response generation, and WebSocket delivery. Reduced LLM response latency by 50% and enhanced system reliability with robust error handling and observability.
Research Assistant
State University of New York at Buffalo
Aug 2022 - Dec 2023 (1 year 4 months)
Architected an NLP-based conversational AI chatbot for an NSF-funded project, using Rasa and AWS services. Integrated LLM from Hugging Face to enable neural response generation and mentored graduate classes in Information Retrieval and NLP.
Software Engineer Intern
Yahoo Inc.
Jun 2023 - Aug 2023 (2 months)
Developed an article display time feature across all Yahoo properties, enhancing SEO and enriching internal CMS editorial capabilities. Utilized Docker, CI/CD, and unit testing to ensure reliable deployment and maintainability.
Spearheaded production-grade healthcare applications, including multi-screen BI dashboards, automated ICD-10AM coding, and optimized EHR indexing tools. Engineered scalable data pipelines using APIs, OCR, NLP, and fuzzy matching to process thousands of records with high accuracy.
Education
Degrees, certifications, and relevant coursework
State University of New York at Buffalo
Master of Science, Computer Science and Engineering
2022 - 2023
Grade: 3.7/4.0
Pursued a Master of Science in Computer Science and Engineering with a GPA of 3.7/4.0.
Thapar Institute of Engineering and Technology
Bachelor of Technology, Electronics (Instrumentation and Control) Engineering
2015 - 2019
Grade: 3.8/4.0
Earned a Bachelor of Technology in Electronics (Instrumentation and Control) Engineering with a GPA of 3.8/4.0.
Availability
Location
Authorized to work in
Website
shalini-agarwal.github.ioPortfolio
shalini-agarwal.github.ioJob categories
Skills
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