Rahul is a ML Engineer with 5+ years of experience in designing, developing, and deploying scalable backend systems and AI-powered applications. He has a strong expertise in Python and related technologies, particularly in AI/ML workflows.
Developed FastAPI-based microservices for adaptive learning recommendations.
Implemented agentic AI components for automated job search workflows.
Integrated AI-based OCR models for automated document processing.
Built scalable APIs to handle real-time job tracking and user communication.
Deployed services on AWS ensuring high availability and reliability.
Built Skill India SIDH + Sonara.ai + IQVIA iDoc + QuickBooks + QuickBill
Overview: Developed a government e-learning platform to enhance digital education. Responsibilities: Developed FastAPI-based microservices, integrated ML models for adaptive learning recommendations, and connected backend APIs with JavaScript frontends for interactive dashboards.
Overview: Created a platform for automating job applications. Responsibilities: Implemented agentic AI components using LangChain, built scalable APIs using FastAPI, and collaborated closely with ML engineers to deploy AI models.
Overview: Modernized document processing workflows using AI. Responsibilities: Integrated AI-based OCR and classification models, developed Django REST APIs, and implemented asynchronous workflows for large document batch processing.
Overview: Developed a backend solution for small business accounting. Responsibilities: Built RESTful APIs for financial transactions, integrated JavaScript frontends, and optimized MySQL queries.
Overview: Created an application for smart invoice generation. Responsibilities: Designed FastAPI endpoints for invoice automation and developed AI-based data validation.
Rahul Tomar
Python AIML