I design and build production-grade SaaS platforms where AI is a core system — not an add-on.

With 8+ years of experience (2017–2026), I’ve worked with organizations like EY, Vervali Systems, C-DAC, and StartBit IT Solutions, delivering scalable, real-world products used by businesses and end users.

• AI-powered SaaS applications (beyond chatbots)
• Structured LLM workflows (GPT-4 / Claude)
• Personalized AI outputs using real user data
• Real-time systems (streaming via SSE/WebSockets)
• Scalable backend systems (Supabase, PostgreSQL, RLS)
• Clean, production-ready UI (Next.js + Tailwind CSS)

A multi-tenant SaaS platform where AI generates personalized documents, insights, and workflows.

• Structured onboarding → user context engine
• AI document generation using prompt pipelines
• Real-time streaming chat interface
• Dashboard with lifecycle + history tracking
• Supabase Auth + Row Level Security
• Deployed on Vercel

Reusable architecture for building structured AI pipelines.

• Multi-step prompt chaining
• Context injection (database + session + memory)
• JSON-based structured outputs
• Output validation and formatting layer

Streaming AI interface optimized for performance and UX.

• SSE-based response streaming
• Low-latency interaction design
• Conversation state management

An AI-powered SaaS platform that streamlines recruitment by automating job creation, resume screening, interview workflows, and candidate evaluation.

Overview Built to solve inefficiencies in hiring workflows, the platform enables teams to manage large applicant pools, reduce manual screening, and improve decision-making through structured AI insights.

Key Capabilities

• AI-powered job description generation
• Resume screening with skill-based ranking (ATS scoring)
• Automated interview scheduling
• Real-time AI-assisted interview support
• Behavioral analysis during interviews
• Dynamic follow-up question generation
• AI-driven candidate evaluation and scoring
• Transparent feedback dashboards
• Offer letter generation and acceptance tracking
• Role-based access control and audit logs

Technical Stack

• Frontend: React.js
• Backend: Node.js
• Database: MySQL
• Infrastructure: AWS EC2

Impact

• Reduced manual screening effort significantly
• Improved hiring speed and decision quality
• Enabled structured, unbiased evaluation workflows

Frontend Next.js, React, TypeScript, Tailwind CSS

Backend Supabase, PostgreSQL, Node.js

AI Layer OpenAI (GPT-4), Claude, Prompt Engineering

Infrastructure Vercel, Docker, AWS, CI/CD

• Build systems, not isolated features
• Design AI workflows, not single prompts
• Focus on real user problems, not demos
• Ship scalable, maintainable, production-ready code

• GitHub: https://github.com/mean-jugal
• Portfolio: https://linkedin.com/jugalchoudhary

💡 I build AI products that are scalable, usable, and deliver real business value — not just prototypes.