Portfolio - Parth V Gupta

I believe in building AI products that solve real problems, ensuring that every solution I architect is tailored to deliver tangible business value.

This is me.

Hi, I'm Parth.

I'm an AI Product Engineer dedicated to turning ideas into production-ready solutions. I specialize in architecting end-to-end AI pipelines, from LLM integration to GPU-optimized inference.

My approach focuses on building scalable, high-performing systems that solve real business problems. By prioritizing performance, reliability, and user experience, I strive to deliver AI products that drive tangible results.

My Stack

frontend

TypeScript

React

Next.js

Tailwind CSS

React Native

backend

Python

Node.js

FastAPI

LangChain

OpenAI

Anthropic

Modal

Diffusion Models

tools

Git

Firebase

Cloudflare

Redis

EXPERIENCE

AIClipse Tech

Aug 2024 - Present

AI Product Engineer

Architected and shipped 3 AI-powered products from 0→1. Designed end-to-end AI pipelines integrating LLM APIs and diffusion models serving 1000+ users.

▸Architected and shipped 3 AI-powered products from 0→1, reducing time-to-market by 40% through reusable abstractions
▸Designed end-to-end AI pipelines integrating LLM APIs, diffusion models, and custom orchestration layers serving 1000+ users
▸Reduced AI feature failures by 60% by implementing validation schemas, graceful fallbacks, and retry mechanisms

Yoopbook— AI-personalized children's storybook platform

▸Built custom e-commerce workflows on MedusaJS with orchestration for storybook creation, personalization, and preview flows
▸Trained and deployed 5+ LoRA adapters for Stable Diffusion; operationalized GPU inference via Modal reducing generation cost by 3x
▸Implemented prompt engineering pipeline with LangChain achieving 95% consistency in character appearance across generated illustrations

Tokovo— Cinematic phone-simulation engine

▸Designed core architecture in TurboRepo monorepo; reduced build times by 50% through optimized module boundaries
▸Built timeline-oriented rendering system with deterministic outputs, enabling reproducible video generation at scale

TypeScriptPythonNext.jsFastAPIOpenAIAnthropicModal

LBA Global Partners

Dec 2023 - Jul 2024

Product Engineering Intern

Built compliance automation tooling, reducing manual work by 70%. Developed RESTful APIs with Redis caching.

▸Built compliance automation tooling for CRS/FATCA workflows, reducing manual classification time by 70%
▸Designed rule-based classification engine processing 500+ entities/day with 99% accuracy on validation rules
▸Developed RESTful APIs (Node.js/Express) with Redis caching, improving response times by 3x for high-frequency queries
▸Automated data extraction and report generation using Python scripts, reducing manual processing by 80%

TypeScriptNode.jsRedisReact