Suyash Nehete profile photo 1 on Tal

Suyash Nehete

Software Engineer @Albertsons | Designing AI-Driven Analytics | LLM Agents, Distributed APIs, Java, Spring Boot

Bengaluru

4+ years of work experience

Albertsons Companies India
Nov 20251 yrPresent

Bengaluru

- Developed the Ads Inventory Service from scratch, replacing a business-critical Excel-based workflow with a scalable backend solution serving enterprise advertising operations. - Designed the relational database schema and migrated 47 MB of inventory, reservation, and pricing data into PostgreSQL while automating data ingestion workflows. - Served as the primary technical owner during Business UAT, collaborating with cross-functional stakeholders to successfully deliver the service to production. - Designed and developed a multi-tenant AI-powered Ads Analytics Platform integrating LLM orchestration and MCP-based workflows across independently maintained backend services, enabling natural-language-driven campaign and product insights. - Architected a reusable managed AI platform supporting plug-and-play integration with JavaScript applications and Salesforce through secure client onboarding, JWT authentication, RBAC, tenant isolation, audit logging, and enterprise access management. - Engineered a production-grade AI orchestration pipeline using Spring Boot WebFlux with multi-agent execution, MCP integration, semantic caching, reranking, streaming responses, hallucination guardrails, and response synthesis for reliable enterprise AI workflows. - Optimized backend performance by reducing ETL execution time from over 2 hours to 25 minutes (≈80% improvement) during a P1 production incident. - Improved API response latency by 57% through Redis caching, database indexing, and SQL query optimization. - Proposed a GraphQL-based API abstraction layer to decouple clients from backend services and simplify future platform evolution. - Contributed to the organization’s GCP → Azure migration by supporting orchestration workflow migration from Google Cloud Composer (Apache Airflow) to Azure Data Factory (ADF).
Capgemini
Mar 20241 yr 9 mosNov 2025

Bengaluru

Led end-to-end development of the US Tariff Update module, ensuring compliance across dealer systems under aggressive delivery timelines. Engineered high-availability Spring Boot microservices and REST APIs, improving transaction processing throughput by 30%. Introduced GenAI-assisted development workflows, reducing coding and documentation effort by approximately 25%. Improved data retrieval performance by 40% through JPA optimization, indexing strategies, and pagination for high-volume datasets. Reduced API response latency by 57% using Redis caching strategies and backend performance tuning. Implemented application monitoring using Micrometer and Spring Boot Actuator to improve runtime observability. Collaborated with UI, QA, DevOps, and product teams in Agile delivery cycles while mentoring junior engineers on debugging, backend engineering, and clean architecture principles.
Aug 20211 yr 6 mosJan 2023

Boulder, Colorado, United States

I have contributed my expertise in developing Flutter apps, Dart packages, and servers to successfully deliver high-quality solutions. During this opportunity, I have worked on a diverse range of projects including the Comped Application frontend and backend, messaging and core features for the app, packages for the Tenfins Widgets and Packages Library, and a semi-automated CICD pipeline using Shell and Dart scripts. Additionally, I have also worked on developing responsive Flutter UI and have experience setting up Dart servers on AWS EC2 and Droplets. One of my notable achievements has been creating a token-based security system for user authentication and authorization which is an advanced version of JWT. With a proven track record of excellence, I am confident in my ability to take on new challenges and deliver exceptional results.
May 20192 mosJun 2019

Asangaon

During my internship at MediaSpa, I had the opportunity to collaborate with a team of web developers in developing PHP-based web applications. My skills in PHP, PhpMyAdmin, HTML5, and Cascading Style Sheets (CSS) proved valuable as I contributed to the development of high-quality web applications. I worked on-site at Asangaon and gained hands-on experience in the web development field. This internship allowed me to expand my skill set and gain a deeper understanding of web development processes, from design to deployment. I am grateful for the experience and look forward to utilizing my skills and knowledge in future projects.

Suyash’s AI Stack

claude code
claude code
codex
codex
github copilot
github copilot
langchain
langchain

Education

Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering

Bachelor of Engineering - BE, Information Technology

Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering

20203 yrs2023

Diploma, Computer Engineering

Government polytechnic, thane

20173 yrs2020

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Headline

Software Engineer @Albertsons | Designing AI-Driven Analytics | LLM Agents, Distributed APIs, Java, Spring Boot

About

I build backend systems where scale, data, and decision-making intersect. At Albertsons Media Collective, I work on ad-tech and retail analytics platforms — integrating fragmented services into a unified, AI-driven system that enables natural language access to business insights. My work sits at the intersection of: • Distributed systems (microservices across multiple domains) • Data pipelines (high-volume ETL and analytics workflows) • Applied AI (LLM-based agents, RAG pipelines, retrieval systems) Key things I’ve done: • Reduced ETL processing time from 2+ hours to ~25 minutes by redesigning data flow and execution strategy • Built an Ads Inventory Service — a foundational layer for campaign analytics and planning • Designed multi-service orchestration enabling LLM-driven querying across 8 independent backend systems • Improved API latency by ~57% through caching, indexing, and query optimization Previously worked on high-performance enterprise systems for automotive clients (Lamborghini, Ducati), operating under strict performance and reliability constraints. I’m particularly interested in: • Backend-heavy system design • Retrieval systems and applied LLM architectures • High-scale data and API infrastructure If you're building systems where correctness, scale, and intelligence matter — that’s where I operate best.

Location

Bengaluru

AI stack

claude code

codex

github copilot

langchain

Work experience

Software Engineer at Albertsons Companies India, Nov 2025 - Present · 1 yr, Bengaluru, - Developed the Ads Inventory Service from scratch, replacing a business-critical Excel-based workflow with a scalable backend solution serving enterprise advertising operations. - Designed the relational database schema and migrated 47 MB of inventory, reservation, and pricing data into PostgreSQL while automating data ingestion workflows. - Served as the primary technical owner during Business UAT, collaborating with cross-functional stakeholders to successfully deliver the service to production. - Designed and developed a multi-tenant AI-powered Ads Analytics Platform integrating LLM orchestration and MCP-based workflows across independently maintained backend services, enabling natural-language-driven campaign and product insights. - Architected a reusable managed AI platform supporting plug-and-play integration with JavaScript applications and Salesforce through secure client onboarding, JWT authentication, RBAC, tenant isolation, audit logging, and enterprise access management. - Engineered a production-grade AI orchestration pipeline using Spring Boot WebFlux with multi-agent execution, MCP integration, semantic caching, reranking, streaming responses, hallucination guardrails, and response synthesis for reliable enterprise AI workflows. - Optimized backend performance by reducing ETL execution time from over 2 hours to 25 minutes (≈80% improvement) during a P1 production incident. - Improved API response latency by 57% through Redis caching, database indexing, and SQL query optimization. - Proposed a GraphQL-based API abstraction layer to decouple clients from backend services and simplify future platform evolution. - Contributed to the organization’s GCP → Azure migration by supporting orchestration workflow migration from Google Cloud Composer (Apache Airflow) to Azure Data Factory (ADF).

Senior Analyst at Capgemini, Mar 2024 - Nov 2025 · 1 yr 9 mos, Bengaluru, Led end-to-end development of the US Tariff Update module, ensuring compliance across dealer systems under aggressive delivery timelines. Engineered high-availability Spring Boot microservices and REST APIs, improving transaction processing throughput by 30%. Introduced GenAI-assisted development workflows, reducing coding and documentation effort by approximately 25%. Improved data retrieval performance by 40% through JPA optimization, indexing strategies, and pagination for high-volume datasets. Reduced API response latency by 57% using Redis caching strategies and backend performance tuning. Implemented application monitoring using Micrometer and Spring Boot Actuator to improve runtime observability. Collaborated with UI, QA, DevOps, and product teams in Agile delivery cycles while mentoring junior engineers on debugging, backend engineering, and clean architecture principles.

Mobile and Web Developer Intern at Tenfins Consulting, Aug 2021 - Jan 2023 · 1 yr 6 mos, Boulder, Colorado, United States, I have contributed my expertise in developing Flutter apps, Dart packages, and servers to successfully deliver high-quality solutions. During this opportunity, I have worked on a diverse range of projects including the Comped Application frontend and backend, messaging and core features for the app, packages for the Tenfins Widgets and Packages Library, and a semi-automated CICD pipeline using Shell and Dart scripts. Additionally, I have also worked on developing responsive Flutter UI and have experience setting up Dart servers on AWS EC2 and Droplets. One of my notable achievements has been creating a token-based security system for user authentication and authorization which is an advanced version of JWT. With a proven track record of excellence, I am confident in my ability to take on new challenges and deliver exceptional results.

Web Development Intern at MediaSpa, May 2019 - Jun 2019 · 2 mos, Asangaon, During my internship at MediaSpa, I had the opportunity to collaborate with a team of web developers in developing PHP-based web applications. My skills in PHP, PhpMyAdmin, HTML5, and Cascading Style Sheets (CSS) proved valuable as I contributed to the development of high-quality web applications. I worked on-site at Asangaon and gained hands-on experience in the web development field. This internship allowed me to expand my skill set and gain a deeper understanding of web development processes, from design to deployment. I am grateful for the experience and look forward to utilizing my skills and knowledge in future projects.

Education

Bachelor of Engineering - BE, Information Technology, Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering

Diploma, Computer Engineering, Government polytechnic, thane

Public links

github: https://github.com/suyashnehete

leetcode: https://leetcode.com/suyashnehete