Adepu Sainaveen

AI Automation Engineer with 2+ years building production-grade GenAI systems, LLM-powered agents, and scalable Python backends. Delivered 30% infrastructure cost reduction, 60% faster incident response, and 50% reduction in manual processing across fintech and enterprise environments. Expertise in n8n, LangChain, FastAPI, RAG pipelines, AWS ECS, and Docker.

Currently designing agentic AI systems and LLMOps workflows that cut operational costs and accelerate cross-functional productivity at scale.

AI Generalist Engineer at Mahavir Group (2025-12 – Present)

• Architected LLM-based multi-agent systems and n8n workflow pipelines deployed across Sales, Finance, HR, and IT departments.
• Built RAG-powered knowledge bases with vector search, reducing internal query resolution time by 40%.
• Designed and deployed FastAPI backend services integrated with OpenAI/Anthropic APIs for intelligent process automation.
• Led AI enablement workshops on prompt engineering and tool selection — upskilled 30+ non-technical staff.
• Surfaced high-impact automation opportunities through process audits, delivering measurable efficiency gains organization-wide.

AI Agent Engineer — Internship at Outskill AI Accelerator (2025-10 – 2025-11)

• Designed agentic AI architectures using Python and FastAPI connected to Lovable and Supabase with real-time LLM inference.
• Built n8n automation workflows that connect APIs, handle webhooks, and enable multi-step decision flows — reducing manual work by 70%.
• Applied rapid prototyping principles to build adaptive, human-centric AI tools that evolve with user behavior.
• Delivered end-to-end AI prototypes from requirements to production-ready deployment within 2-week sprint cycles.

Associate Python Developer at Machint Solutions (2024-04 – 2025-09)

• Engineered M-Cash and M-Remittance backends with Python, FastAPI, and SQLAlchemy, enabling real-time multi-currency transfers across 15+ currency pairs.
• Containerized 10+ microservices with Docker, deployed on AWS ECS with auto-scaling — cut infrastructure costs by 30%.
• Implemented OAuth2/JWT authentication and end-to-end encryption, ensuring full PCI-DSS compliance for financial transactions.
• Built KYC verification and fraud-detection modules using ML rule engines, reducing manual review time by 50%.
• Automated CI/CD pipelines with GitHub Actions and AWS CodePipeline, achieving zero-downtime deployments.
• Digitized agricultural loan workflows via FastAPI, Alembic, and Terraform IaC with ELK monitoring — reduced incident response time by 60%.

Freelance Python Trainer at Trie Tree Technologies Pvt Ltd (2023-10 – 2024-02)

• Delivered Python curriculum to 500+ students covering core concepts, Pandas/NumPy, and Tableau/Power BI.
• Built educational tools, including a MySQL↔MongoDB data migration utility and an Excel automation suite using openpyxl.

B.E. in Computer Science Engineering – Vaageswari Engineering College, Karimnagar (2023)