Sravan Inni

Junior AI enablement and consulting candidate with an M.Sc. in Media Technology, a Computer Science background, three years of applied technology experience, and more than four years of university teaching and mentoring. Built and evaluated an LLM-based ERP assistant using GPT, FastAPI, Python and Odoo, testing 100 business questions with 89% overall accuracy. Strong at understanding user needs, turning unclear requests into structured use cases, explaining technical topics in simple words, documenting workflows, testing AI output and helping people adopt new tools.

Curious, reliable and looking for a long-term role where I can learn, contribute and grow into a professional AI consultant.

Working Student and Master's Candidate - Applied AI, ERP and Systems at 4friendsOnly Internet Technologies AG / Deenovum Technologies AG (2022-07 – 2025-08)

• Designed and evaluated a natural-language ERP workflow using GPT-based reasoning, FastAPI middleware, Python/XML-RPC and Odoo ERP.
• Tested 100 questions across company, contact and sales workflows; achieved 89% overall accuracy and documented correct answers, no-data results, hallucinations, execution errors and fallback behaviour.
• Converted user questions into structured test cases, clarified expected results and prepared clear technical documentation for review and handover.
• Built a FastAPI and LangChain-oriented RAG/Odoo prototype, focusing on prompt clarity, retrieval context, reliable answer design and user guidance.
• Supported AI-assisted ERP and document workflows by reviewing model output, recording limitations, identifying practical risks and suggesting improvements.
• Worked with Python, REST APIs, JSON, Git, AWS fundamentals, Terraform and Kubernetes concepts in technical delivery tasks.
• Supported a monitoring transition from Nagios to Prometheus and Grafana, improving system visibility, issue understanding and repeatable operational follow-up.
• Earlier developed user-facing AR/VR prototypes with Unity, C#, Xcode and Vuforia, translating ideas into tested features.

Guest Faculty - Computer Science at National Institute of Technology Allahabad (2017-08 – 2017-12)

• Delivered Genetic Algorithms through structured lectures and practical examples, adapting explanations to different knowledge levels.
• Strengthened workshop-style presentation, question handling and clear communication of complex technical topics.

Assistant Professor - Computer Science at Gayatri Vidya Parishad College of Engineering (2011-08 – 2015-08)

• Taught programming, data structures and object-oriented programming; supervised laboratories and student projects.
• Prepared learning material, mentored students and provided individual support to improve understanding and performance.
• Coordinated academic activities, schedules and follow-up, building strong organisation and stakeholder communication skills.

M.Sc. in Media Technology – Technische Universitaet Ilmenau (2020 – 2025)

M.Tech. in Computer Science and Engineering – Andhra University College of Engineering (2011 – 2013)

B.Tech. in Computer Science and Engineering – M.V.G.R. College of Engineering (2005 – 2009)