Jayanth Culli — Senior Software Engineer

I’m a software engineer focused on building reliable, scalable data and reporting systems — especially where correctness, compliance, and performance really matter. I'm currently building AI-powered agents using LangGraph and LangChain that integrate with enterprise systems. These agents use multi-pass workflows, Chain of Thought reasoning, and RAG (Retrieval Augmented Generation) to automate investigation and analysis tasks that previously required significant manual effort. Most of my recent work has been on large‑scale tax and financial report generation. I’ve designed and implemented Spark-based data pipelines that process millions of records, re‑architected legacy reporting flows into configurable pipelines, and built monitoring and observability dashboards so issues are caught early instead of through support tickets. My core strengths are: • Data pipelines & distributed processing (Apache Spark, SQL, ETL) for high‑volume reporting use cases • AI/LLM agent development (LangGraph, LangChain, RAG, vector stores) for automating complex workflows • Backend & databases (Java, relational databases, MySQL, SQL) with a focus on concurrency, transactions, and performance tuning • Reliability & observability (monitoring dashboards, alerting, incident response) to keep systems stable in production • Cross‑functional collaboration with ops, tax/compliance, and partner teams to translate requirements into robust technical solutions Examples of impact include: • Building an AI support agent that integrates with Slack to automatically investigate tax report issues, query databases, search documentation, and provide root cause analysis — reducing manual investigation time from hours to minutes • Redesigning an end‑to‑end tax report generation system into a configurable Spark pipeline, improving scalability and reliability for millions of financial records • Building a monitoring dashboard for tax report generation that significantly reduced support overhead and made failures visible and actionable • Fixing critical database deadlocks and transaction patterns, improving throughput of reporting jobs by an estimated 2–3x while maintaining data integrity I enjoy digging into complex production issues and driving them to root cause and resolution. What excites me most is working on systems that combine large‑scale data, strict correctness, and real business impact — especially in domains where reliability is non‑negotiable.

Stackforce AI infers this person is a Fintech-focused Software Engineer specializing in scalable data systems and AI-driven solutions.

Location: Gainesville, Florida, United States

Experience: 8 yrs 7 mos