Sudhir CN

CEO

Bengaluru, Karnataka, India20 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led Generative AI transition for Bixby 3.0.
  • Architected systems for millions of concurrent users.
  • Mentored teams to adopt AI-driven agile workflows.
Stackforce AI infers this person is a leader in Consumer Electronics with a focus on AI-driven solutions.

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Skills

Core Skills

Generative AiDistributed Systems

Other Skills

LLM & RAGLeading High-Performance TeamsPython (Programming Language)Requirements AnalysisAgile MethodologiesRequirements GatheringSoftwareSoftware Project ManagementResearch and Development (R&D)

About

I am an Engineering Leader who bridges the gap between research and production reality. Over the last 19 years, I have evolved my career alongside the tech industry—from early mobile web optimization to leading the Generative AI transition for Samsung’s Bixby 3.0, now running on 100M+ flagship devices worldwide. Currently, I serve as an Engineering Manager (Staff Engineer) at Samsung Research, leading a high-performing teams. My focus is on building scalable, AI-native systems that solve real user problems. I specialize in taking ambiguous requirements, defining technical roadmaps, and delivering high-availability distributed systems. What I Bring to the Table: Strategic AI Implementation: I don’t just use LLMs; I operationalize them within complex legacy architectures. My team architected RAG-based Auto-Triage systems that slashed manual triage time from 20 minutes to 3 minutes, while our user-facing AI optimizations drove CSAT scores from 2.0 to 4.5. Engineering Culture: I believe in autonomy and mastery. I have mentored teams to transition from traditional software cycles to AI-driven agile workflows, cutting evaluation cycles by 40%. Scale: I have architected systems that handle global traffic, ensuring reliability for millions of concurrent users. Technical Arsenal: GenAI & ML: LLMs, RAG Architecture, LangChain, Prompt Engineering, Vector DBs. Distributed Systems: Microservices, Kubernetes, Kafka, AWS/Cloud-Native. Languages: Python, Java, SQL, NoSQL (Elasticsearch).

Experience

20 yrs 5 mos
Total Experience
4 yrs
Average Tenure
7 yrs 2 mos
Current Experience

Samsung r&d institute india - bangalore private limited

Staff Engineer

Mar 2019Present · 7 yrs 2 mos · Bengaluru, Karnataka, India

  • Core Focus: Leading Engineering Strategy, Generative AI Adoption and Bixby 3.0 Delivery.
  • Leadership: Directing a high-performance team to bridge the gap between AI research and production-grade software.
  • GenAI Integration: Successfully delivered Samsung’s LLM-powered voice assistant (Bixby 3.0), deployed on 100M+ flagship devices worldwide.
  • Operational Excellence: Architected a RAG-based Auto-Triage system that slashed issue resolution time from 20 mins to 3 mins, accelerating release velocity.
  • Product Impact: Built a "User Feedback Prediction Platform" using LLMs to analyze conversation logs, directly influencing roadmap prioritization and improving CSAT from 2.0 to 4.5.
Generative AILLM & RAGDistributed SystemsLeading High-Performance TeamsPython (Programming Language)

Samsung research india - bangalore

Chief Engineer

Mar 2016Feb 2019 · 2 yrs 11 mos · Bangalore

  • Core Focus: System Architecture, Distributed Systems, and Reliability Engineering.
  • Team Leadership: Managed a specialized team of 6 engineers driving cross-functional delivery for distributed testing frameworks.
  • Scale & Reliability: Architected a load-testing platform for Bixby services, ensuring 99.9% reliability under global-scale traffic conditions.
  • Innovation: Designed and implemented the "Context Understanding Language" library, enabling smarter, context-aware NLU capabilities across Samsung devices.

Samsung india software operations

Technical Lead

Jul 2008Feb 2016 · 7 yrs 7 mos · Bangalore

  • Core Focus: On-Device AI, NLU Engines, and Mobile Commercialization.
  • Global Rollout: Drove the commercialization of Bixby across 75 domains and 2,500 states.
  • Optimization: Developed a lightweight, memory-optimized NLU engine specifically for resource-constrained mobile devices.
  • Delivery: Led engineering teams in delivering robust on-device AI/ML solutions.

Tesco

Software Engineer

Mar 2006Jun 2008 · 2 yrs 3 mos · On-site

  • * Developed web applications for product placement optimization and designed SQL-based back-end systems for merchandising workflows.

Lsi logics corp

Internship Trainee

Sep 2005Feb 2006 · 5 mos · Bangalore Urban, Karnataka, India

Education

Malnad College of Engineering

Bachelor of Technology - BTech — Information Technology

Sep 2001May 2005

Kendriya Vidyalaya

10

Jan 1989Jan 1999

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