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Ksk Koushik

@kskkoushik

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AI engineer specializing in agentic systems, RAG pipelines, and scalable LLM-powered product engineering.

India

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What I'm looking for

I seek roles building scalable agentic AI systems and RAG pipelines in collaborative, research-driven teams where I can impact product architecture, integrations, and performance.

I am an AI engineer focused on architecting agentic systems and scalable LLM-powered products that solve complex data and root-cause problems. I design and implement Rapid Prototypes, multi-agent orchestration, and efficient retrieval-augmented-generation pipelines that drive measurable performance improvements.

My work spans integrations with major platforms and vector stores, building knowledge-graph-backed context systems, and optimizing systems for latency and scale. I lead technical modules across backend, agent communication, and RAG workflows while maintaining strong emphasis on research-driven product delivery.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Aunix.ai

Jan 2026 - Present (5 months)

Architected an agentic Insights Agent to analyze large-scale databases and correlate multi-source data for root-cause analysis; reduced system latency by 50% via in-process execution and columnar storage and integrated 15+ platforms for semantic correlation.

Agentic Systems Agent Architectures DuckDB RAG Knowledge Graphs

AI Developer

TheAgentic

Jul 2025 - Oct 2025 (3 months)

Built Journey360.ai, a multi-agent CRM orchestration integrating 10+ CRM apps and 3 communication apps with Neo4j knowledge graph and hive-mind agent model to reduce context loss and enable large-scale research pipelines.

Neo4j RAG LangGraph

AI Engineer

Codemate.ai

Apr 2025 - Jul 2025 (3 months)

Developed backend for a multi-agent full-stack platform serving 80,000+ daily active users, implemented RAG pipelines with Qdrant for large codebase embeddings, and improved performance and parallel tool call handling for AI model integrations.

RAG Qdrant fastAPI LangGraph

AI Research Intern

Gradehive.AI

Feb 2025 - Apr 2025 (2 months)

Designed AI pipelines and multi-agent orchestration for DeepDocs GitHub app, integrating RAG, re-ranking, and knowledge graphs to keep documentation synchronized with repository changes.

RAG Knowledge Graphs Git Integration

Generative AI Intern

Genzoic

Oct 2024 - Jan 2025 (3 months)

Integrated LLMs (OpenAI, AI21) and vector DBs (Supabase, Qdrant) into a no-code AI platform, built Langchain.js workflows and chatbots, and delivered Telegram bots that reduced client costs by 22%.

LLMs (LangChain OpenAI AI21 Qdrant Supabase Next.js Chatbot Development Cost Optimization

Education

Degrees, certifications, and relevant coursework

Vignan's Institute of Information Technology

Bachelor of Technology, Artificial Intelligence

2022 -

Grade: CGPA: 9.54

Activities and societies: ML lead at Association for Computer Machinery VIIT; AI lead at Google Developer Groups VIIT; team lead Caffeinated Coders; 3x hackathon winner.

Pursuing a Bachelor of Technology in Artificial Intelligence with a focus on AI systems, multi-agent architectures, and retrieval-augmented generation; current CGPA 9.54.