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Tanmay Garg

Tanmay Garg

AI & Backend Engineer with 3+ years building scalable distributed systems and production-grade GenAI platforms

Talent
JaipurMember since July 27, 2026
LangGraphRAGNode.jsPythonMicroservicesDockerAWSGCPRedisBullMQCI/CDShell ScriptingGitGitHubStored ProceduresTriggersPostgreSQLMongoDBpgvectorTypeScriptAWS S3GitHub Actions
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LangGraphRAGNode.jsPythonMicroservices

About

AI & Backend Engineer with 3+ years building scalable distributed systems and production-grade GenAI platforms. Specialized in LLM integration, microservices architecture, multi-agent orchestration, and high-throughput async pipeline design using Node.js, Python, and cloud infrastructure. Delivered 40–60% performance gains across AI, FinTech, and EdTech domains, progressing from intern to Lead AI Engineer through consistent technical impact and team leadership.

Experience

Lead AI & Backend Engineer (Contract) - Synfiction AI - Remote (Melbourne, Australia)

(2026-02)

  • Designed a microservices-based architecture to decouple AI pipeline components, enabling independent scaling of text, image, and video generation services.
  • Architected a production-grade GenAI platform using Node.js and LLM APIs to support 1K+ generations/day across multi-modal content workflows.
  • Built an asynchronous node-based workflow engine for AI pipeline orchestration, leveraging Redis and BullMQ to manage model latency and credit allocation, reducing execution times by 40%.
  • Developed multi-platform API integrations enabling real-time publishing and data synchronization across TikTok, Instagram, and YouTube.
  • Managed the complete application deployment lifecycle on Google Cloud Platform (GCP), provisioning VM instances for Dev and Prod environments, orchestrating application releases, and performing log-based root cause analysis (RCA) to resolve live issues and maintain high availability.
  • Optimized context windows and prompt efficiency to minimize API token costs while maintaining high-fidelity character consistency across user workflows.

Backend Engineer - EP Soft Pvt. Ltd. - Jaipur, Rajasthan

(2024-06 - 2026-02)

  • Led a cross-functional team in delivering a Loan Management System within 3 months using Laravel, streamlining workflows including onboarding, credit approvals, disbursals, and reporting — improving efficiency by 45% while reducing manual overhead.
  • Architected a microservices-based backend for a crypto trading platform serving 300K+ users and 3–4.5M weekly transactions, achieving a 60% performance improvement via stored procedures, triggers, and strategic indexing.
  • Streamlined a mailing system for an EdTech client to calculate and share student scores using customizable templates and MongoDB, increasing communication throughput by 40%.
  • Migrated high-volume data infrastructure to PostgreSQL, implementing tsvector full-text search and in-memory caching to optimize backend performance for intelligent data retrieval.

Software Engineer - Nanoinfomatrix LLP - Jaipur, Rajasthan

(2023-06 - 2024-05)

  • Designed and deployed custom Single Sign-On (SSO) environments using both IDP- and SP-initiated SAML profiles with multiple bindings (POST, Artifact, Redirect), improving login efficiency by 30%.
  • Established and developed RESTful API services with extensive documentation, enabling seamless integration with third-party systems and increasing client onboarding speed by 20%.

Software Engineer Intern - Nanoinfomatrix LLP - Jaipur, Rajasthan

(2022-11 - 2023-06)

  • Boosted delivery efficiency by 30% and reduced bugs by 20% by developing and maintaining a client-facing product dashboard using a full-stack solution with Shell Scripting for automation and certificate management.
  • Resolved critical memory leaks in a production Node.js service, reducing downtime by 40% and improving system stability.

Software Developer Intern - Western Digital - Bengaluru, Karnataka

(2022-04 - 2022-06)

  • Integrated Single Sign-On (SSO) with MongoDB authentication, enhancing cross-site accessibility and improving user experience by 25%.
  • Delivered AWS S3 file upload/download functionality using Node.js, improving data management efficiency by 35%.

Education

B.Tech (Bachelor of Technology) - Computer Science - Swami Keshvanand Institute of Technology, Management & Gramothan (2019-08 - 2023-06)

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