Manvi Guleria
@manviguleria
Software Engineer focused on scalable data services and AI-powered backends.
What I'm looking for
I build production-ready backend systems that prioritize scalability, reliability, and measurable performance improvements. As a Software Engineer Intern at Microsoft, I designed and implemented carrier-grade data partitioning for distributed Azure services, improving system scalability, workload balancing, and query response times by 20%, while enhancing service reliability.
In my internship work with Blinkit, I standardized Python and SQL ETL pipelines for 1,000+ vendors, improving validation accuracy by 10%, and I built scalable data pipelines that reduced processing latency by 40% for business-critical replenishment workflows. I also develop AI-enabled experiences—from an OpenAI API conversational assistant handling 200+ concurrent sessions to EduHub, where I integrated OpenAI-driven adaptive learning and RAG-based contextual retrieval—always aiming to deliver fast, dependable outcomes in real-world systems.
Experience
Work history, roles, and key accomplishments
Backend Data Developer Intern
Blinkit
Sep 2025 - Feb 2026 (5 months)
Standardized data workflows in the Vendor Management System (VMS) using Python and SQL ETL pipelines, processing and validating data for 1,000+ vendors and improving validation accuracy by 10%. Designed and maintained scalable production data pipelines for inventory systems and built RESTful APIs for backend contract services, reducing processing time by 30% and improving reliability for business-
Designed and implemented carrier-grade data partitioning for distributed Azure services, improving system scalability, workload balancing, and query response times by 20% while enhancing reliability. Developed Python-based REST APIs and backend microservices for high-traffic Azure applications, reducing end-to-end latency by 15%.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology (B.Tech), Computer Science and Engineering
2022 - 2026
Grade: CGPA: 8.0/10
Pursuing a B.Tech in Computer Science and Engineering at Lovely Professional University from 2022 to 2026.
Availability
Location
Authorized to work in
Portfolio
github.com/ManviGuleaiJob categories
Skills
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