Headline

AI Engineer @Toystack| Gen AI | Agentic Systems | RAG | Distributed Systems

About

Senior Software Engineer building production-grade agentic AI systems and scalable distributed architectures. Over the past few years, I’ve worked across distributed systems and microservices serving millions of users. More recently, I’ve been deeply focused on designing agentic AI workflows Technically, I work across: • Agentic workflows (LangGraph, LangChain) • Retrieval-Augmented Generation (RAG) • Vector databases (Pinecone, FAISS, Chroma) • Structured output validation & guardrails • Distributed systems (Kafka, Redis, microservices) • FastAPI, Java, Spring Boot, React I’m particularly interested in Senior Applied AI roles where engineering rigor, system design, and safe LLM deployment matter. I’ve built: • An AI-powered coding assistant with symbol-aware indexing, RAG retrieval, LangGraph state orchestration, and secure diff-based execution • A production-ready AI customer support agent with human-in-the-loop safeguards and structured output enforcement • High-throughput backend services processing data for 10M+ users with >99.9% reliability Areas of Expertise: Subjects: Data Structures and Algorithms, System Design, Object Oriented Programming, Design Patterns Design: High-Level Design (HLD), Low-Level Design (LLD) Programming Languages: Java, JavaScipt, TypeScript Libraries And Frameworks: React.js, Spring Boot Databases: MySQL, MongoDB, GraphQL Architecture: Microservices, Distributed Systems, Cloud-native architecture Others: Docker, Kubernetes, Git, AWS

Location

Bangalore Urban

AI stack

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Work experience

Artificial Intelligence Engineer at Toystack, Jul 2026 - Present · 2 mos, Bengaluru

Member of Technical Staff at TechMojo Solutions, May 2025 - Jul 2026 · 1 yr 3 mos, Hyderabad, Telangana, India, 1) Built and scaled a Risk Evaluation Service for a high-traffic gaming platform, detecting suspicious user behavior using account-linkage analysis and third-party risk APIs while maintaining >99.9% system reliability. 2) Engineered a production microservice processing data for 10M+ users hourly from AWS Redshift using optimized batching and fault-tolerant retry mechanisms. 3) Designed high-throughput, event-driven pipelines to enforce real-time actions (cashout/deposit blocking), improving platform risk response time.

Software Engineer at Noodle.ai, Jul 2023 - May 2025 · 1 yr 11 mos, Bengaluru, Karnataka, India, •Designed and developed B2B SaSS dashboards from scratch enabling clients to configure AI experiments for product demand prediction. •Engineered UI interfaces and enhanced load time by 25% through strategic code splitting and lazy loading Reduced bundle size by 15% through efficient webpack optimizations. •Enhanced the demand dashboard, contributing new features, resulting in a 20% increase in user engagement. Designed and implemented intuitive drag-and-drop UI components for constructing AI pipelines. •Create unit tests to validate functionality of codebase, ensuring 90% test coverage. •Collaborated with senior developers, participated in code reviews and established best code practices.

Software Engineer at Jio, Oct 2021 - Jul 2023 · 1 yr 10 mos, Bangalore Urban, Karnataka, India, •Implemented Content Management System (CMS) into the application, creating a dashboard for business team widget management, reducing manual workload by 30%. •Built a responsive, customizable component library on Jio Design system, cutting development time by 20%. • Rewrote Jio Prime Merchant (JPM) Android app for universal device compatibility, improving user reach. • Developed Jest based unit tests with 85% code coverage, to ensure system reliability.

Summer Intern at Indian Institute of Technology, Madras, May 2019 - Jun 2019 · 2 mos, Greater Chennai Area, Advisor : Dr. Rupesh Nasre Developed a Django web app that collects coding challenges from CodeChef and Codeforces, and curates blog posts from Hacker News for a personalized learning experience.

Education

Bachelor of Technology, Computer Science, SRM IST Chennai