Het Suthar

Full-Stack Developer · AI/ML Integrations

Full-stack developer graduating in 2026, with hands-on experience shipping a production AI SaaS platform which is government grant-backed, 50+ users in the first month. Comfortable building across the stack API design, PostgreSQL, cloud deployment, and monitoring. Use AI tools like Claude and Cursor daily to move faster, and have built production LLM integrations and a RAG pipeline from scratch.

Education

  • B.E. in Information Technology
    Sardar Vallabhbhai Patel Institute of Technology, Gujarat
    July 2022 – Present (Expected Graduation: 2026) · CGPA: 7.73
    Coursework: Object Oriented Programming (Java), Data Structures and Algorithms, Computer Networks, Database Management Systems, Operating Systems, Data Science, Web Development

Skills & Tools

Languages & Frontend

TypeScriptJavaScriptPythonNext.jsReactTailwind CSS

Backend & Databases

Node.jsFastAPIExpressHonoPostgreSQLMongoDBMySQLPrismaDrizzle

Cloud & DevOps

AWSDockerCloudflareDigitalOceanHetznerVercelGitHub Actions

Monitoring & AI/ML

New RelicPrometheusGrafanaPinecone

Experience

  • Xvertice — Project Owner & Full-Stack Lead
    Feb 2025 – Jan 2026 · SSIP Grant, Government of Gujarat
    • Secured a Government of Gujarat SSIP grant and led a 4-person team to build and ship an AI-powered image forensics SaaS that reached 50+ users, with 250+ forensic analyses processed and 2,300+ page views within the first 30 days of launch.
    • Built the entire Next.js + TypeScript platform end-to-end along with all the API routes, PostgreSQL schema with Drizzle ORM, NeonDB as Database Host along with middleware-based auth with route protection using Clerk Auth.
    • Deployed and integrated a Python FastAPI that contains CNN analysis and 12 forensic tests on Hetzner VPS by applying the strategy of Horizontal scaling via multiple Uvicorn workers managed by Gunicorn for parallel processing.
    • Integrated a streaming AI pipeline (DeepSeek Reasoner), as well as reverse search API (Google, OpenWeb, TinyEye) with zod validation and AWS S3 as object storage.

Projects

  • Talk To Your Data — RAG Document Q/A
    • Developed a full-stack RAG pipeline enabling real-time chat with PDF documents using Gemini LLM and Pinecone vector database.
    • Optimized data ingestion by implementing custom document chunking and AWS S3 object storage to handle high-density files.
    • Built with Next.js and Drizzle ORM; enforced data integrity with a relational schema and secured user data via authentication middleware.
  • LLM Job Scraper — Chrome Extension + Dashboard
    • Built a Chrome extension that scrapes LinkedIn job listings to a Node.js + Express backend with MongoDB storage.
    • LLM summarization on a React dashboard for filtering and ranking jobs deployed on AWS EC2.
  • OnBlogs
    • Developed a minimal blogging platform with a rich-text editor using Next.js and TypeScript.
    • Implemented secure user authentication using BetterAuth lib with PostgreSQL, via Drizzle ORM.

Honors & Certificates

  • SSIP Grant Recipient — Government of Gujarat, Govt. Recognised Project
  • HackBangalore 2nd Round Qualifier — AngelHacks Global Hackathon Series, Bangalore

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