---
title: "Saurav . - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Saurav ., Senior Software Engineer @ Samsung | Java & Spring Boot | RAG Pipeline & Agentic AI | Event-Driven Microservices | Distributed Systems | ICPC | Leetcode Knight based in Bengaluru. AI stack includes antigravity and codex. Explore public work links including github."
image: "https://tal.club/meet/saurav/share-image"
---

# Saurav \. on Tal

## Headline

Senior Software Engineer @ Samsung \| Java & Spring Boot \| RAG Pipeline & Agentic AI \| Event\-Driven Microservices \| Distributed Systems \| ICPC \| Leetcode Knight

## About

Senior Backend & AI Engineer specializing in distributed systems, event\-driven architecture, and large language model \(LLM\) orchestration\. I combine elite algorithmic problem\-solving \(LeetCode Knight, 2,200\+ problems solved\) with a track record of scaling high\-throughput enterprise infrastructure\. Core Focus Areas: • Backend Architecture: Designing low\-latency, resilient microservices utilizing Java, Spring Boot, and Redis\. • Agentic AI & LLMs: Building and orchestrating autonomous agent frameworks utilizing LangChain, Vector Databases, and RAG\. • System Scalability: Leading zero\-downtime infrastructure migrations and optimizing big data ingestion pipelines\. • Algorithmic Rigor: ACM ICPC India Rank 115 \| GATE Computer Science & Data Science Qualified\. Open to relocation across the EU, Australia, Singapore, and Dubai\.

## Location

Bengaluru

## AI stack

antigravity

codex

## Work experience

Senior Software Engineer at Samsung R&D Institute India \- Bangalore, Mar 2026 \- Present · 6 mos, • Contributed to the training and architectural evolution of Bixby’s models, driving the transition from static to LLM\-based and fully Agentic frameworks, resulting in a 3% improvement in overall accuracy\. • Transition Bixby's existing orchestration design to an Agentic AI framework, delivering a successful orchestration Proof of Concept \(PoC\) utilizing OpenClaw, Hermes, and LangChain, supported by robust harness engineering within a distributed environment\. • Fine\-tuned LLM\-driven Device Planner & Function Planner \(Phi, Qwen, Mistral\) for device selection and capability mapping, improving intent\-to\-action accuracy from 80% to 96% via prompt engineering and model training\. • Implemented RAG\-based context retrieval using SmartThings Home Context \(PDSS\) with semantic search, reducing incorrect device selection by 35% in multi\-device environments\. • Built target resolution and disambiguation workflows, fine\-tuning models to enable dynamic user prompting for missing inputs, significantly improving target selection accuracy and task completion rates\.

Software Engineer at Samsung R&D Institute India \- Bangalore, Aug 2025 \- Feb 2026 · 7 mos, • Building scalable backend services for the execution of automated routines and device modes via Bixby 4\.0, supporting seamless smart home orchestration\. • Integrated a centralized logging architecture for SumoLogs utilizing the SLF4J library and Aspect\-Oriented Programming \(AOP\), ensuring comprehensive telemetry and observability across services\. • Spearheaded the critical migration of Redis infrastructure across 6 high\-traffic microservices, ensuring zero downtime and improving data consistency for real\-time AI agents\. • Leveraged AI\-driven agents to architect and implement a comprehensive testing framework, delivering over 140,000 lines of Unit Tests across 6 core services to achieve 90%\+ code coverage\.

Software Engineer at ZS, Jun 2024 \- Jul 2025 · 1 yr 2 mos, Pune City, Maharashtra, India, • Worked on NBFC systems, developing and implementing backend modules for payment processing, EMI reconciliation, and transaction workflows across multiple countries while ensuring regulatory compliance\. • Developed a batch reconciliation job to recover missed EMI payments during DB outages, ensuring 100% payment consistency\. • Developed and implemented payment gateway modules for NBFCs across multiple countries while ensuring regulatory compliance\. • Implemented an AOP\-based retry mechanism for gRPC failures, reducing payment errors by 35%\. • Built a mock server for external APIs, accelerating development and testing cycles by 40%\. • Wrote extensive unit tests and integrated a new SMS vendor to improve delivery reliability\. • Collaborated with cross\-functional teams to enhance existing payment modules and streamline deployment processes\.

DSA Problem Setter at iMocha, Feb 2023 \- Jun 2023 · 5 mos, Remote, • Algorithmic Content Curating: Designed and authored highly optimized Data Structures and Algorithms \(DSA\) questions for technical screenings and core interview rounds, leveraging competitive programming paradigms to assess deep problem\-solving capabilities\. • Automated Test Suite Generation: Engineered and validated comprehensive test suites and edge cases by writing automated Bash and Powershell scripting pipelines to run stress\-testing datasets across Linux environments, enforcing strict execution time and space complexities\. • Multi\-Language Reference Implementations: Published production\-grade reference solutions, detailed technical editorials, and optimal complexity benchmarks across different languages, including Java, C\+\+, and Python\. • System & Database Evaluation: Formulated targeted relational database, SQL optimization, and schema design problems to evaluate candidates' core data\-handling and backend proficiency\.

## Education

Bachelor of Engineering \- BE, Army Institute of Technology, Pune

Senior Secondary, PCM with Computer Science, Army Public School \(APS\)

## Public links

- github: https://github\.com/Mac\-Rose

[View the original profile](https://tal.club/meet/saurav)

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