Prabhat Dubey's Work | ContraWork by Prabhat Dubey
Prabhat Dubey

Prabhat Dubey

Full-Stack Developer | AI-Powered Applications & Automation

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Raipur, India

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Raipur, India

Built a working demo of a multi-role agriculture platform with a Flutter Android app and FastAPI backend. It supports farmer, dealer and company workflows, farm records, satellite crop-health data, weather, marketplace orders and service requests, plus an AI crop assistant with contextual responses and fallback models. Backend includes 300+ tests. Tech: Python, FastAPI, Flutter, Dart, SQLModel, SQLite, PostgreSQL, Gemini, OpenRouter. Repository: Private — use approved demo screenshots or a walkthrough.
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Quantitative Trading System | Fibonacci Grid Strategy, Automated Execution & Blockchain Integration
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Multi-Model Social Media Agent — Automated Content Workflows Built by QuantEve Technologies | AI Automation & Full-Stack Engineering Designed and developed an AI-powered social media workflow that streamlines content research, drafting, evaluation, approval, publishing, and performance analysis. Rather than relying on a single model for every task, the system uses a multi-model workflow to organize content operations into manageable stages, with persistent state and human review where needed. Core Capabilities Content Research: Organizes topics and research inputs into a structured content workflow. AI-Assisted Drafting: Generates social media content for platforms such as X and LinkedIn. Multi-Model Processing: Supports model-provider alternatives and fallback handling for more resilient workflows. Draft Evaluation: Adds an evaluation stage to review and improve content before it moves forward. Human Approval: Keeps content review separate from publishing so drafts can be checked before external actions. Workflow Persistence: Uses SQLite-backed queues and stored state to track content as it moves through the system. Performance Feedback: Organizes publishing analytics and feedback to inform future content decisions. Engineering Focus The system brings AI model orchestration, application logic, persistent workflow state, and social media operations together in one maintainable automation pipeline. Technology Stack Python / Node.js (depending on the deployed component) · LLM APIs · REST APIs · SQLite · Workflow Automation · Social Platform Integrations Built by QuantEve Technologies to demonstrate how AI can automate repetitive content operations while keeping the workflow organized, reviewable, and controllable.
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Built an automated financial data pipeline covering approximately 2,400 NSE-listed stocks, transforming daily market data into structured analytics and client-ready reports. Developed Python-based data collection and processing workflows using Yahoo Finance data, Pandas, and SQLite. Automated market snapshots, financial metric calculations, and formatted Excel/CSV report generation. Implemented scheduled GitHub Actions workflows to orchestrate data collection, report generation, Google Drive uploads, and automated email delivery. Added retry mechanisms, delivery monitoring, and a Next.js dashboard to make market information and pipeline status accessible. Key capabilities: Automated data collection across approximately 2,400 NSE stocks. Daily market snapshots and SQLite database management. Financial data processing and reporting with Pandas. Automated Excel and CSV report generation. Google Drive integration and email-based report delivery. Scheduled workflows, retries, and delivery verification. Web-based financial data dashboard.
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