Freelancers using Pipeliner in Karachi

Freelancers using Pipeliner in KarachiFreelancers using Pipeliner in Karachi

Projects People

Moiz Ahmed Mansoori

Karachi, Pakistan

AI Assistants, RAG Chatbots & Business Workflow Automation

New to Contra

AI Assistants, RAG Chatbots & Business Workflow Automation

Cover image for Built a full-stack Todo app

Built a full-stack Todo app across 5 phases — CLI to cloud-native. Phase 3 adds AI chatbot via LangChain and Groq for natural language task management. Phase 4 containerized with Docker and Kubernetes. Phase 5 deployed on Vercel with Neon PostgreSQL. 4 live deployments.

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Cover image for I built an AI wellness

I built an AI wellness app that does more than generate responses. It listens, remembers context, and responds with emotional guardrails in place. https://asksukoon.com/ Most “AI wellness” tools today are just chat interfaces with a mental health label attached. AskSukoon was built differently. What’s inside: — Voice conversations with sentiment-aware responses — Memory-powered support using ChromaDB — Guardrails for sensitive interactions — Guided reflections and mood tracking — Fast, mobile-friendly experience built for real users The hardest part wasn’t connecting an LLM. It was designing something that feels calm, safe, and usable in production. Shipping this taught me more about product than 3 years of coursework Live: https://asksukoon.com/ Services: contra.com/moiz_roshan_zszcum4s

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Cover image for QueryMind lets you query a

QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System

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Cover image for Built AIRO, a 6-agent ML

Built AIRO, a 6-agent ML automation system using LangGraph and Groq LLaMA 3.3. The system automates the entire ML pipeline from data ingestion to final report generation. Ran 18 experiments achieving RandomForest f1_macro of 0.7329. Features parallel training, MLflow tracking, SHAP explainability, and a dark Streamlit UI with live log streaming.

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