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Mokshit Jain

Mokshit Jain

Product-minded Software Engineer specializing in backend-heavy full-stack development, applied AI systems, and workflow automation

Nhân tài
KotaThành viên từ 21 tháng 5, 2026
FastAPIPostgreSQLRedisDockerNginxRAGTemporal.ioRazorpayCI/CD pipelinesClaude CodeCodexAgile software developmentStakeholder communicationProduction support
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FastAPIPostgreSQLRedisDockerNginx

Giới thiệu

Product-minded Software Engineer specializing in backend-heavy full-stack development, applied AI systems, and workflow automation. Experienced in owning products end-to-end: requirements, architecture, APIs, frontend integration, cloud deployment, stakeholder communication, and production support.

Kinh nghiệm

Software Developer (Product & Engineering) at DRCODE (2025-04 – Present)

Building backend-heavy AI SaaS products and workflow automations at DRCODE, owning architecture, APIs, integrations, deployment, stakeholder communication, and production iteration.

  • Built backend-heavy AI SaaS products from discovery to production, collaborating with founders and product leaders.
  • Designed production APIs, service boundaries, data flows, and integration layers for AI-enabled workflows.
  • Converted vague business requirements into precise backend specifications and implementation plans.
  • Developed backend services utilizing FastAPI, PostgreSQL, Redis, Docker, Nginx, CI/CD pipelines, and cloud deployment workflows.
  • Worked in Agile software development cycles, turning sprint feedback into backend, integration, deployment, and production support improvements.
  • Integrated AI, payment, storage, messaging, and automation providers such as OpenAI and Razorpay.
  • Enhanced long-running AI workflows by implementing orchestration and parallel execution strategies.
  • Utilized Claude Code and Codex for codebase exploration, refactoring, and debugging while maintaining engineering ownership.
  • Launched a live AI commerce platform as sole engineer overseeing backend systems and post-launch iteration.
  • Developed AI pipeline for cheque processing with 95%+ accuracy using self-learning feedback loops.
  • Reduced story generation latency from 20 mins to 2 mins through parallel processing with Temporal.io.

Học vấn

Bachelor of Technology in Computer Science – Lovely Professional University, Jalandhar (2026-06)

Kỹ năng

applied AI systemsand workflow automation

Đánh giá

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