Applied AI Engineer specializing in production-grade LLM systems, enterprise RAG architecture, and scalable AI SaaS infrastructure.

This account is Team Hayes (Ajayaditya Lokchandra, Nithisha Venkatesh), Sim-to-Real SW division, student class, in the 自動運転AIチャレンジ2026. Our contributions to the competition repositories:

• Code → PRs to aichallenge-racingkart: MPC / pure-pursuit fixes, eval and submission tooling, make practice-4car
• Docs → PRs to aichallenge-documentation-racingkart: English translations and JA/EN resyncs, alt text, bilingual glossary, JA/EN consistency checker
• Issues → bug reports and requests (bilingual, with reproductions)
• Tools → aichallenge-toolkit: ROS-free rosbag (mcap) analysis and pre-submit checks
• Articles (JA/EN) → Qiita @TeamHayes · Zenn @ajayaditya

• Build Retrieval-Augmented Generation (RAG) systems with hybrid search and reranking
• Design reliable, observable LLM workflows for multi-tenant production environments
• Optimize inference pipelines for latency, cost, and hallucination reduction
• Engineer scalable backend systems with FastAPI, PostgreSQL, and Docker
• Develop modern full-stack AI products using Next.js and TypeScript

• LLM Infrastructure & Evaluation
• Hybrid Retrieval Systems
• Prompt Engineering & Guardrails
• AI Observability & Reliability
• Enterprise Knowledge Systems

AI & LLMs: Gemini, Groq, Pinecone, Cohere, LangGraph
Backend: FastAPI, PostgreSQL, ClickHouse
Frontend: Next.js, React, TypeScript
Infra: Docker, Vercel, CI/CD

Let’s connect and build something that changes the game.

• Portofolio → thecodeforger
• Email → ajayaditya.dev@gmail.com
• LinkedIn → linkedin.com/in/ajayaditya