Applied AI engineer building agentic products, growth systems, and production-ready developer workflows.
Data Science @ NIT Bhopal
Focused on AI workflow design, revenue automation, product engineering, and public technical execution.
LinkedIn • LeadForge AI • Live project
- agentic systems with real operator workflows
- growth and revenue automation products
- AI-assisted product experiences that still respect human review
- public-facing repos that are clean, deployable, and technically credible
AI revenue workflow platform for lead discovery, research, website audits, approvals, and founder growth planning.
Conversion-recovery system built around AI-assisted customer re-engagement.
Signal-tracking project focused on real-time risk and opportunity monitoring.
AI and product systems
- agentic workflows
- AI evaluation-aware product design
- LLM-powered workflow tooling
- applied data science
Engineering stack
- Next.js
- TypeScript
- Prisma
- PostgreSQL
- Vercel
- automation tooling
Operational habits
- human-in-the-loop workflow design
- repo polish and documentation
- security-first environment handling
- production-minded Git workflow
I like building software that looks sharp in public, works under real constraints, and helps operators move faster without losing control. The sweet spot for me is where product thinking, automation, and engineering discipline all meet.
Right now I am investing in:
- stronger flagship repositories
- better README and demo quality
- cleaner public technical branding
- sustainable open-source and project credibility
Building applied AI systems with product taste, operational discipline, and growth intent.