LIKHITH R

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Designed and developed AI systems for cybersecurity.
Recognized with a Star Award for impactful contributions.
Expertise in context-aware data retrieval systems.

Stackforce AI infers this person is a Cybersecurity Software Engineer specializing in AI-driven solutions.

Contact

Skills

Core Skills

Ai AgentsRetrieval-augmented Generation (rag)Artificial Intelligence (ai)

Other Skills

LangGraphRAG pipelinesContext EngineeringRedisClickHouseweaviatePython (Programming Language)Prompt EngineeringKnowledge Graph AugmentationNATSAgent buildingDistributed SystemsVector DatabasesAI PromptingCyware Orchestrate

About

Graduated with a Bachelor of Engineering in Information Technology from New Horizon College of Engineering, I am currently a Software Engineer - II at Cyware. My primary focus is designing and developing AI systems, including building AI Agent frameworks and RAG pipelines to improve cybersecurity automation and contextual intelligence. My expertise extends to implementing vector databases, embeddings, and optimizing context-aware data retrieval systems. At Cyware, I contribute to creating autonomous, context-driven AI systems by leveraging skills in Redis, Distributed Systems, and ClickHouse. My work emphasizes collaboration to ensure system reliability and performance, aligning development goals with strategic objectives. Recognized with a Star Award for impactful contributions, I am motivated to advance cybersecurity solutions through intelligent AI design and innovation.

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Cyware

5 roles

Software Engineer - II

Promoted

Nov 2025 – Present · 5 mos

As a Software Engineer – II at Cyware, I focus on designing and developing intelligent AI systems and frameworks that enhance cybersecurity automation and contextual intelligence. My primary work involves building AI Agents and RAG (Retrieval-Augmented Generation) pipelines to enable context-aware decision-making and efficient data handling.
Key Responsibilities:
Architect and develop AI Agent frameworks capable of performing autonomous reasoning, context understanding, and task orchestration.
Design and optimize RAG pipelines for dynamic information retrieval, document chunking, and semantic context injection.
Implement vector databases and embeddings for high-performance semantic search and context retrieval.
Collaborate with data scientists and backend engineers to integrate LLM-based components into Cyware’s threat intelligence products.
Focus on scalability, latency optimization, and data integrity within multi-agent systems.
Key Contributions:
Built a modular AI Agent framework with dynamic context engineering for improved adaptability and accuracy.
Developed and deployed vector search pipelines enabling real-time contextual awareness for decision-making systems.
Enhanced the cyber threat intelligence ecosystem by infusing AI-driven automation and reasoning capabilities.

AI AgentsLangGraphRAG pipelinesContext EngineeringRedisClickHouse+9

Software Engineer

Aug 2025 – Nov 2025 · 3 mos

As a Software Engineer at Cyware, I contributed to building scalable backend services and high-impact features for our cybersecurity platform, including AI-driven workflows and automation capabilities. I collaborated closely with engineering, DevOps, and product teams to design, develop, and integrate reliable solutions into production systems. Along with core development, I ensured quality through strong engineering practices such as automated validation, CI/CD integration, and smooth deployment support, helping improve overall platform stability and performance.

AI AgentsAI PromptingArtificial Intelligence (AI)Cyware OrchestratePython (Programming Language)