Jijainth Dhinakaran

AI and full-stack engineer with 4+ years of experience building production-grade AI systems and scalable backend architectures across six companies. Specialized in RAG, agentic workflows, OCR/semantic pipelines, and distributed microservice architectures. Experienced with Azure, Docker, and Kubernetes.

Partnered with CTOs and CPOs to drive product and AI strategy, leading end-to-end delivery across architecture and MLOps/CI/CD. Seeking an AI / Full-Stack Engineer role at a growth-focused SaaS startup.

Full Stack AI Engineer at I40 Regensburg (2025-10 – Present)

• Worked directly under the CTO, contributing to strategic technical decisions and high-impact product development.
• Played a key role in building an agentic AI system using LangGraph (SkillDuck), orchestrating complex, stateful workflows with modular AI nodes, loop execution, and human-in-the-loop validation.
• Developed core AI components, including RAG-based document analysis, goal generation, instructional planning, and automated content generation systems.
• Designed and implemented a scalable SCORM backend architecture, enabling efficient package delivery with support for concurrency, polling, and asynchronous processing.
• Built and integrated async backend services (Quart) for workflow orchestration, real-time status tracking, and resumable execution.
• Contributed to advanced RAG-based content generation pipelines using Azure AI, improving system intelligence and content quality.
• Implemented frontend UI theming and customization for 5–6 enterprise clients, including Deutsche Telekom and DEHN.

AI and Backend Engineer at Vestigas (2024-09 – 2025-09)

• Worked under the CPO and CTO, contributing to core product development and AI evaluation systems.
• Designed and deployed OCR evaluation pipelines (Python, FastAPI, Azure), leveraging weighted F1-score metrics to analyze and optimize performance.
• Enhanced document processing accuracy by implementing German BERT-based semantic matching for complex N:N invoice-to-delivery-note alignment.
• Built and maintained CI/CD pipelines (GitLab, Ruff), ensuring code quality and streamlined deployments, while actively reviewing merge requests.
• Monitored and resolved production issues using Sentry, collaborating closely with the customer relationship team to receive, diagnose, and fix reported issues, while performing root-cause analysis and creating actionable tickets for timely resolution.
• Collaborated cross-functionally using Linear and Slack to ensure alignment and efficient project execution.
• Conducted a thesis on company expansion into the drop-shipping industry, delivering strategic and market-driven insights.

Devops and Functional Software Engineer at DRÄXLMAIER (2024-03 – 2024-09)

• Development of Version Control Documentation and Review Application using PySimpleGUI and API protocols
• As a DevOps engineer, I managed version control, distributed tasks among my colleagues, reviewed pull requests, and suggested code improvements to ensure quality and efficiency.
• Various Internal Scripts for Data Collection, Storage, Processing using Python.

Automation Engineer for Supply Chain Division at Vitesco Technologies (2023-10 – 2024-02)

• Supply Chain Backlog Automation Scripts for the Supply Chain Department using Python.
• Web Scrapping Crawlers using Python and Selenium for Customer Portal Data Collection

Software Engineer at CSA Group Bayern GmbH (2023-01 – 2023-10)

• Thermocouples Defect Detection using Computer Vision with GUI in Manufacturing Pipeline.
• Full-stack development using Flutter.
• Gas Valve turning automation using Vention Pneumatic Actuators and Servo Motors.
• Employee Equipment Management and Tracking System for IT team using PowerApps.
• Auto mail sender using PowerApps for logistic team.

Data Analysis and Q-Reporting at Vitesco Technologies (2022-05 – 2022-11)

• Power Bi report using DAX for the Electrification Technology Department.

B.Sc. in Artificial Intelligence – Technische Hochschule Deggendorf (2021-10 – 2026-03)