adithya raju
AI Engineer
About
AI Engineer with 5 years of professional software engineering experience, including 3+ years building production applications with the MERN stack (React, Node.js, Express, MongoDB), who has progressively moved into AI-augmented and Agentic AI engineering. Hands-on experience implementing Retrieval-Augmented Generation (RAG) with LangChain, stateful agent workflows with LangGraph, multi-agent systems with AgentScope, and MCP servers with custom tool-calling, paired with full-stack depth in Next.js, NestJS, Node.js, and Python. Builds using AI-augmented, agentic coding workflows — from architecture through debugging and testing — and has shipped real-time, Web3, and cloud-native systems used by millions.
Skills & Expertise (40)
Work Experience
AI-Powered Creator & Fan Platform
FansOnChain
Jan 2025 - Present
Architected and shipped an end-to-end creator-fan platform (Next.js, NestJS) with real-time streaming, messaging, and on-chain creator monetization; owned system design from infrastructure through delivery. Built an AI agent layer with LLM integration, RAG via LangChain, stateful LangGraph workflows (planner nodes, conditional routing, tool execution, memory), and multi-agent collaboration via AgentScope (Planner, Retriever, Tool, Response agents) to automate engagement and surface contextual recommendations. Implemented MCP servers with custom tools, connected into the LangGraph workflow for auditable, structured tool-calling — built using AI-augmented, agentic coding workflows throughout. Integrated Phantom Wallet with QR-based SOL transactions for peer-to-peer on-chain payments, and built the real-time streaming/messaging and media pipeline (Tencent Cloud, S3, Cloudflare R2) for low-latency delivery at scale.
Designer and Engineer
AI-Augmented Trading Operations & Automation Platform
Jan 2024 - Present
Designed and engineered a full-featured internal trading operations platform (Next.js, Node.js, MySQL) covering trading bot management, real-time order and position monitoring, audit logging, and RBAC-secured admin controls. Built a bot placement and configuration interface enabling real-time deployment, monitoring, and adjustment of trading bots with full action traceability. Optimized MySQL query structures and indexing strategies, improving dashboard load times and retrieval throughput by 35%. Extended the platform with Python automation, AI-assisted in its implementation, to eliminate repetitive manual workflows — including website interaction automation, bulk file processing, Excel/CSV data operations, and PDF data extraction. Integrated LLM calls into the automation pipeline to handle unstructured inputs (e.g. summarizing extracted PDF content, generating structured reports from raw data), reducing manual review effort and automating recurring report generation.
Full Stack Engineer → AI & Agentic Systems Engineer
String Metaverse Pvt. Ltd.
Sep 2021 - Present
Owned end-to-end architecture and delivery for multiple production systems — FansOnChain, an internal trading operations platform, and Telegram gaming products — spanning frontend, backend, real-time infrastructure, and AI/agentic features. Spent 3+ years building and maintaining production applications on the MERN stack (React, Node.js, Express, MongoDB), covering architecture, development, debugging, optimization, and deployment of real-time, high-throughput systems. Reduced API response times by 15% across high-throughput backend systems through systematic performance tuning and API optimization, supporting millions of concurrent users. Improved dashboard load times by 35% by optimizing MySQL query structures and indexing strategies, increasing data retrieval throughput under production load. Cut platform load times by 40% and achieved 99.9% uptime on a high-traffic roulette platform through backend architecture and latency optimization. Optimized live-streaming, messaging, and media-delivery infrastructure (Tencent Cloud, Amazon S3, Cloudflare R2) to reduce end-to-end latency and storage egress costs at scale. Adopted AI-augmented engineering workflows and AI coding agents to accelerate implementation, debugging, refactoring, and testing across projects, then progressed into hands-on RAG, LangChain, LangGraph, and MCP-based agentic development as the role evolved.
Maintenance & Production Support
Idle Mine
Jan 2022 - Jan 2023
Maintained and supported the Idle Mine gaming application, handling production issues, bug fixes, feature maintenance, and ongoing application improvements. Investigated and resolved application issues across frontend, backend, and APIs to improve platform stability and reliability. Worked on performance optimization, debugging, and maintenance activities to ensure smooth gameplay and consistent application behavior across releases.
Telegram Gaming Platform Engineer
String Games, Arc8 & Roulette
Jan 2021 - Jan 2024
Engineered multiple production Telegram gaming products (String Arc8 Retro, Arc8 Modern, String Games) from architecture through deployment, serving millions of active users with high-availability, low-latency backends. Built interactive game mechanics (Mines, Coinflip, Dice) using the MERN stack; optimized interaction loops and session flows, improving average session playtime by 35%. Architected and shipped a high-performance roulette platform (Next.js, NestJS, PostgreSQL) achieving 99.9% uptime and a 40% improvement in load times over the prior system. Integrated Solana (SOL) blockchain for in-game booster transactions, engineering a secure, scalable Web3 payment layer processing millions of on-chain transactions reliably.
Education
B.Sc. — Mathematics, Statistics & Computer Science
- · Afghanistan
Certifications
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Skills (40)
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