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