shreyasi prasad
@shreyasiprasad
Backend Software Engineer with nearly 3 years building scalable distributed, API, and pricing systems.
What I'm looking for
I’m a Backend Software Engineer with nearly 3 years of experience building scalable backend systems. At Merabo Labs Pvt. Ltd. (Dealshare), I’ve owned critical business systems and delivered end-to-end features across multi-city e-commerce workflows.
I built and scaled the end-to-end Lowest Price Guarantee (LPG) system handling 4K carts/day and 15K SKUs/day across 7 platforms, scaling up to 10K carts/day via horizontal infra expansion. I engineered a configurable wallet rule engine, a scalable SKU- and location-level pricing engine (grammage, ranking, fallback logic), and PDP recommendation/ranking flows with metadata and intelligent fallback strategies.
I also designed scheduled price reporting and an async, queue-driven location-aware crawling/validation pipeline with caching, retries, failure handling, and reconciliation to protect pricing accuracy. My ETL pipelines achieved 99%+ data reliability, and I optimized BigQuery datasets (80GB, 300M+ rows), reducing compute costs by 30%.
I’m a “reliable and high-performance” builder by habit—comfortable with distributed systems, REST APIs, microservices, and data-heavy production workloads. Beyond backend, I’ve worked on ML research (RF/SVM for insider threat detection) and optimized a Genetic Algorithm for 99.95% accuracy, plus I’ve been recognized as Star of the Month for delivering scalable Lowest Price Guarantee platforms.
Experience
Work history, roles, and key accomplishments
Software Engineer (Backend)
Merabo Labs Pvt. Ltd. (Dealshare)
Aug 2023 - Present (2 years 11 months)
Built and scaled the Lowest Price Guarantee (LPG) system handling 4K carts/day and 15K+ SKUs/day across 7 platforms, scaling to 10K carts/day via horizontal infrastructure. Owned core pricing, wallet, and catalog backend services; engineered pricing/wallet rule engines and location-aware crawling with async pipelines and ETL achieving 99%+ data reliability, while optimizing BigQuery datasets (80GB
UG Research Fellow (ML)
IIT Kanpur
Sep 2021 - Dec 2022 (1 year 3 months)
Developed machine learning models (RF, SVM) for insider threat detection and evaluated model performance. Optimized a genetic algorithm to reach 99.95% accuracy with 14.2s runtime.
Software Development Intern
Eshopbox E-commerce Pvt. Ltd.
May 2022 - Jul 2022 (2 months)
Built a Java/Spring Boot microservice integrating Eshopbox with the TataCliq marketplace and supported deployment on GCP infrastructure.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kanpur
Bachelor of Technology (B.Tech), Computer Science and Engineering
Pursued a B.Tech in Computer Science and Engineering at IIT Kanpur, graduating in 2023. Achieved AIR 874 in JEE Advanced (2019) and AIR 3043 in JEE Mains (2019).
Availability
Location
Authorized to work in
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