Software Developer based in Lublin, Poland. B.Eng. in Computer Science from Akademia WSEI (graduating March 2026).
I build full-stack web applications, AI-powered automation systems, and production platforms used by real businesses. Most of my recent work sits at the intersection of conversational AI and business tools — lead generation bots, ordering systems, and workflow automation.
Languages: Python, JavaScript, TypeScript, Java, C++
Frontend: React, Next.js, Tailwind CSS
Backend: Node.js, FastAPI, Flask, Express, Prisma ORM
Databases: PostgreSQL, Firebase Firestore
AI: OpenAI GPT, OpenCV, MediaPipe, scikit-learn
Infrastructure: Docker, Nginx, Vercel, Firebase, GitHub Actions
Integrations: Twilio WhatsApp API, Telegram Bot API, Meta Cloud API, Stripe, Google Sheets API, n8n
WhatsApp & Telegram Lead Assistant AI Agent Multi-channel lead collection system using OpenAI GPT, Twilio, and Telegram Bot API. Handles 100+ concurrent conversations, stores encrypted data in Google Sheets, generates daily PDF/Excel reports, supports 7 languages, and is fully GDPR compliant.
Dream Axis Travel Solutions — dreamaxis.co.in Production website for a travel consultancy, built with Next.js 15 and Tailwind CSS. Includes a standalone Flask-based lead collection app with real-time validation and Google Sheets integration. Increased lead conversion by 35%.
WSEI Academy — Student Management Platform Full-stack system built with Next.js 14, TypeScript, PostgreSQL, and Prisma. Secure authentication, admin dashboard, auto-generated student credentials, RESTful APIs. Deployed on Vercel.
Lava Lublin — lava-lublin-nextjs.vercel.app Restaurant website with integrated Google Reviews, Instagram feed, and Google Maps. Next.js 15, Tailwind CSS. Deployed on Vercel.
WhatsApp Restaurant Ordering SaaS MVP Bilingual (PL/EN) GDPR-compliant ordering system designed around Meta WhatsApp Cloud API, n8n automation, Firebase, and Stripe. Full PRD and automation workflows prepared for development.
Salary Prediction ML System Machine learning model predicting salaries based on experience, education, job title, age, and gender. Built with bias-aware preprocessing for fair predictions.
LinkedIn · iamamanraj3103@gmail.com · +48 739 614 279