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Sahil G.
@sahil_guria
Backend and AI Engineer ,APIs, LLM Apps, Data Pipelines
Indien
Englisch
Über mich
I'm a backend and AI engineer helping startups and small teams ship REST APIs, LLM and RAG features, scrapers and data pipelines that hold up in production. In nearly 3 years of backend work, I've built microservices serving 100K+ requests a day under 200ms, merged data from 10+ sources into one platform, and cut menu data variance by 80% across 1M+ orders with LLM-based cleanup. My stack: Java/Spring Boot, Python/FastAPI, Go, PostgreSQL, Redis, Kafka, Docker and LangChain. Expect a clear scope, regular updates and clean, documented code.
Kompetenzen
Sahil G.
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
KI-Integrationen
I will build a rag ai chatbot and integrate llm apis into your app
Daten-Scraping
I will do python web scraping and build reliable scrapers with clean data
Arbeitserfahrung
Software Engineer
magicpin • Vollzeit
Aug 2024 - Present • 2 yrs 3 mos
Key Result Areas: • Architected a merchant intelligence platform integrating 10+ external data sources, leveraging microservices and RESTful APIs to support dynamic pricing initiatives and process 100K+ daily requests at sub-200ms latency. • Engineered data aggregation frameworks using Kafka, Redis, PostgreSQL, caching mechanisms, and scalable scraping infrastructure, achieving 95% merchant deduplication accuracy. • Developed AI-powered analytics solutions leveraging LLMs, recommendation engines, geospatial intelligence, and social media data pipelines to generate merchant insights. • Optimized platform scalability and reliability through backend application enhancements, containerized deployments, observability frameworks, and database performance improvements. Key Achievements: • Increased merchant order growth by 25% through analytics-driven recommendations and data-backed business insights. • Reduced query latency by 60% through indexing optimization and database performance enhancements. • Maintained 99.9% platform availability through observability implementation and proactive monitoring practices. • Consolidated data from 10+ external platforms into a centralized merchant intelligence ecosystem supporting nearly 1 million merchant records. • Analyzed over 1 million merchant orders and reduced menu data variance by 80% through LLM-driven data standardization and intelligent categorization.
Software Engineer
Xebia
May 2022 - Jun 2023 • 1 yr 1 mo
Key Result Areas: • Developed Appian-based workflow solutions integrating SQL databases and external APIs. • Partnered with stakeholders to translate business requirements into workflow applications. • Delivered production-ready features within agile development cycles. • Improved application quality through code reviews and optimization initiatives. Key Achievements: • Delivered enterprise workflow automation solutions through Appian-based applications integrated with SQL databases and external APIs. • Enabled seamless data exchange between enterprise systems through API-driven workflow integrations and process optimization initiatives.
