Rahul Krishna

AI Researcher

Bengaluru, Karnataka, India1 yr 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building production-oriented AI systems.
Focused on agentic AI workflows and LLMOps.
Skilled in multi-agent orchestration and retrieval systems.

Stackforce AI infers this person is a skilled AI Engineer specializing in scalable AI systems and retrieval architectures.

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Skills

Core Skills

Agentic Ai DevelopmentLarge Language Model Operations (llmops)Neural Networks

Other Skills

ChromaDBWeb ScrapingAI observabilityMetadata-aware storageRetrieval-augmented generation (RAG)XGBoostAngularScalaSQLJavaScriptLangGraphcortex aiCBAMDeep Neural Networks (DNN)Generative Neural Networks

About

AI Engineer currently working at Fractal Analytics, focused on building and understanding production-oriented AI systems. My interests currently revolve around agentic AI workflows, LLMOps, observability, retrieval systems, inference optimization, and scalable AI application design. Recently, I’ve been working on multi-agent retrieval architectures involving orchestration workflows, vector databases, financial document ingestion pipelines, and metadata-aware retrieval systems. Actively learning and exploring areas around LangGraph, Langfuse, vLLM, tracing/evaluation workflows, Docker, Kubernetes, and scalable AI infrastructure. Longterm, I aim to grow into a strong AI systems engineer capable of building reliable, production-grade AI platforms and applications.

Experience

1 yr 4 mos

Total Experience

8 mos

Average Tenure

10 mos

Current Experience

Fractal

2 roles

Associate AI Engineer

Promoted

Jun 2026 – Present · 0 mo · On-site

Working on AI engineering workflows and production-oriented AI systems with a focus on agentic AI pipelines, retrieval systems, and LLMOps-oriented workflows.
Key areas worked on include:
Multi-agent orchestration and query decomposition workflows
Retrieval-augmented generation (RAG) pipelines using ChromaDB
Financial intelligence and document retrieval systems
Web scraping and multi-source data ingestion workflows
AI observability and evaluation-oriented system design
Metadata-aware storage and retrieval optimization
AI infrastructure and scalable workflow experimentation

Agentic AI DevelopmentLarge Language Model Operations (LLMOps)ChromaDBWeb ScrapingAI observabilityMetadata-aware storage+1

Imagineer(Data science)

Aug 2025 – Jun 2026 · 10 mos · On-site

Millennium campus network (mcn)

Millenium fellow

Aug 2024 – Feb 2025 · 6 mos

Zakysoft solutions private limited

Engineering Intern

Jun 2024 – Jul 2024 · 1 mo · Kozhikode, Kerala, India · On-site

Hands-On Team Collaboration: Actively collaborated with the team, gaining valuable insights into product management and deployment processes.
ETA System Development: Worked on an Estimated Time of Arrival (ETA) system to enhance delivery time predictions for a delivery service, optimizing operational efficiency.
Technical Skills Acquisition: learned Angular, Scala, SQL, and JavaScript through practical application and continuous learning.

XGBoostNeural NetworksAngularScalaSQLJavaScript