Jay Gupta.

I build and own production backend systems and AI-driven products with correctness, cost-awareness, and long-term impact.

AI Engineer and builder. I ship production-grade systems fast.

About

I'm a Computer Science (Data Science) undergraduate with hands-on experience owning backend systems and AI-heavy features in production. My work centers on async APIs, ETL pipelines, AI agents, retrieval systems, and automation workflows. I care deeply about system correctness, operational cost, and engineering tradeoffs — especially when building AI-powered products meant to scale beyond demos and hype.

Experience

AI Engineer

Dec 2024 – Jan 2026
Prepairo [Vertune Data Tech.]

Edtech Startup with 100k+ learners

  • Owned a daily end-to-end ETL system combining web scraping, normalization, AI summarization, and structured storage using cron-based automation. Directly contributed to a 3× increase in app downloads and a 60% increase in daily active users.
  • Architected and shipped a production-grade GRE AI Tutor using Pydantic-AI, with schema-validated outputs, tool-based reasoning, persistent user context, and performance tracking.
  • Built the complete async backend for GRE Quant, Verbal, and Vocabulary modules using FastAPI, async SQLAlchemy, asyncpg, and PostgreSQL, focusing on predictable latency and clean domain separation.
  • Engineered subscription and access-control infrastructure using Razorpay, including free trials, international payments, secure webhook verification, idempotency handling, and real-time entitlement checks.
  • Reduced AI infrastructure costs by approximately 50% through batch inference, prompt restructuring, token optimization, and deliberate model selection based on cost–quality tradeoffs.
  • Built scalable OCR and document-ingestion pipelines using GOT OCR 2.0 and Gemini 2.5 Pro to digitize and structure physical and scanned educational content.
  • Developed internal automation systems including AI-assisted video generation workflows using n8n and custom MoviePy pipelines, significantly reducing manual content operations.
  • Prototyped early-stage realtime voice-to-voice agent for interactive use cases, exploring latency, streaming responses, and conversational state management.

Selected Work

Technical Focus

Backend & Systems

  • FastAPI, SQLAlchemy
  • PostgreSQL, asyncpg, Alembic
  • Docker, Nginx, Linux
  • AWS, Cron-based Automation

AI & Retrieval Systems

  • Pydantic-AI, LangChain, LangGraph
  • MCP, MultiAgents, Agent Skills
  • RAG Pipelines
  • TTS, OCR, Voice Assistants
  • Transformers, PyTorch

Languages

  • PythonPrimary
  • TypeScript
  • Rust
  • SQL

Client & Desktop

  • React, Tailwind CSS
  • Tauri v2Native Apps
  • Next.js

Education

B.Tech in Computer Science and Engineering (Data Science)

2023 – Present
Shri Ramdeobaba College of Engineering and Management, Nagpur
CGPA: 8.08