Siddharath S.

Python AI engineer with experience building production LLM agents and RAG systems along with specialist in DevOps. Real automation, not prototypes deployed, scaled, and reliable. ● Strong expertise in Generative AI, LLMs, and ML model development. ● Skilled in document processing, entity extraction, and business insights generation using AI/ML. ● Proficient in backend frameworks (Flask, FastAPI) and designing RESTful & GraphQL APIs. ● Experienced in containerization (Docker), cloud deployment (Azure), and CI/CD pipelines. ● Hands-on with data pipelines, model training, and evaluation across NLP, classification, and recommendation domains. ● Strong communication and problem-solving skills with proven ability to work independently and in teams. Core Capabilities:- 1. Scalable Enterprise Architecture ● Designed scalable, schema-based multi-tenant architectures using PostgreSQL and Django-Tenants to ensure data isolation, security, and operational flexibility across clients. ● Engineered modular backend systems supporting dynamic onboarding, tenant lifecycle management, and real-time user access control. 2. Backend Development & API Engineering ● Developed RESTful APIs using Django REST Framework and FastAPI for user management, role-based access control (RBAC), authentication, subscriptions, messaging, and payment handling. ● Integrated AI models (OpenAI GPT, Azure Cognitive Services) and third-party APIs for advanced chatbot functionalities and real-time voice-to-text conversion. 3. Database Engineering & Optimization ● Utilized PostgreSQL, MySQL, and MongoDB to design efficient, normalized schemas for transactional and analytics workloads. ● Automated database tasks such as schema creation, reconciliation logic, and background analytics processing with high reliability and accuracy. 4. DevOps, CI/CD & Deployment ● Containerized full-stack applications using Docker and deployed services on AWS (EC2, S3, Amplify), ensuring high availability and seamless scaling. ● Set up CI/CD pipelines for smooth integration, testing, and production releases with zero downtime using Git and custom deployment scripts. ● Employed Celery and Redis for distributed task scheduling and background job processing. 5. Security & Access Control ● Implemented secure authentication using JWT and AWS Cognito, integrated RBAC mechanisms, and enforced GDPR-compliant data practices. ● Managed API rate-limiting, schema-level access control, and secure webhook integrations for third-party services. 6. Collaboration & Documentation ● Worked closely with frontend teams and cross-functional stakeholders to translate business logic into robust technical implementations. ● Authored detailed technical documentation covering API usage, schema strategies, deployment processes, and scraper maintenance. 7. Feature Implementation & Enhancements ● Delivered production-grade features such as multilingual interfaces, admin dashboards, real-time chat/messaging, subscription management, predictive analytics, and trading alerts.