Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

Ramani Soud

Geelong

Summary

AI Consultant with 2 years of experience delivering real-world AI and data science solutions. Proven ability to collaborate with cross-functional teams and translate business needs into deployable systems. Experienced in developing and deploying solutions using computer vision, large language models (LLMs), and the Power Platform. Strong focus on automation, responsible AI, and human-centered design.

Overview

3
3
years of professional experience
1
1
Certification

Work History

AI Consultant

Freighter Group
07.2024 - Current

AI-Powered SOP Generation


Responsibilities:

  • Led the design and development of an AI solution by identifying manual bottlenecks in SOP creation and proposing a scalable LLM-based automation approach
  • Conducted research on suitable AI platforms, assessed feasibility, and led all phases from requirement gathering to deployment
  • Designed workflows to handle input in text, audio, and video format and collaborated with Engineering, Quality, HR, and Manufacturing teams
  • Translated complex requirements into clear, maintainable logic that matched the company’s SOP template structure
  • Led iterative development and feedback sessions following Agile methodology, incorporating principles of Responsible AI and human-centred design

Achievements:

  • Automated the conversion of raw multimedia input into SOPs, reducing generation time from 1 week to under 5 minutes
  • Set up a complete end-to-end system and eliminated adoption barriers by helping non-technical users overcome hesitation and confidently engage with AI-driven documentation tools

Paint Defects Detection App (Custom Vision)

Responsibilities:

  • Improved and digitalised the manual quality inspection process by implementing an AI-driven solution using computer vision.
  • Conducted independent research, evaluated tools, and led architecture and implementation of a real-time defect detection app
  • Developed the solution using Azure AI Studio, PowerApps, Python APIs, and deployed it inside Microsoft Teams
  • Created Power BI dashboards to visualise defect trends and inspection patterns for the Quality team
  • Worked collaboratively with IT, Manufacturing, Engineering, and Quality teams to iterate, test, and deploy
  • Coordinated all Agile ceremonies including check-ins, sprint planning, and retrospectives

Achievements:

  • Built and deployed an AI-powered app to identify paint defects using computer vision models integrated into shop-floor workflows
  • Reduced manual inspection bias and standardised defect identification criteria across teams
  • Delivered interactive Power BI dashboards for real-time visibility into defect types, frequency, and resolution trends
  • Rolled out the tool in production across departments, ensuring accessibility for non-technical users
  • Created a feedback loop for continuous model improvement

SAP SF Consultant

Kaar Technologies
02.2022 - 04.2023


Responsibilities:


  • Managed SAP SuccessFactors Employee Central Core, including Time Management, across development and hypercare phases
  • Familiar with all core SAP modules across functional areas and trained in ABAP programming, with experience applying SAP SuccessFactors in real-world client projects.
  • Conducted daily calls with UAE-based oil and petroleum clients to gather business requirements and provide tailored configurations
  • Translated client requirements into detailed technical specs, coordinated development activities, and handled testing cycles
  • Supported go-live activities, data validation, and post-production issue resolution
  • Collaborated with cross-functional teams to ensure smooth rollout of new modules and enhancements
  • Successfully implemented and supported EC Core modules tailored to complex workforce structures in the energy sector
  • Delivered reliable HRIS solutions aligned with client-specific compliance and regional business rules
  • Built strong client relationships through consistent communication and delivery, resulting in positive feedback and trust in solution quality

Education

Master of Applied Artificial Intelligence

Deakin University
Waurn Ponds, VIC
07-2025

Bachelor of Technology in Computer Science

SMVEC
India
04-2022

Skills

Programming & Development:
Python, R, SQL, NoSQL (PostgreSQL, MongoDB), Flask, ABAP, JavaScript, REST APIs

AI & Machine Learning:
Large Language Models (LLMs), Generative AI, NLP, Chatbots, Prompt Engineering, Computer Vision, Predictive Modelling, Reinforcement Learning, Forecasting Models, Retrieval-Augmented Generation (RAG)

AI Platforms & Tools:
Azure AI Studio, Azure OpenAI, Hugging Face, Google AI Studio (Gemini), LangChain, LlamaIndex

MLOps & DevOps:
Azure Pipelines, Docker, Kubernetes, GitOps, MLflow, Airflow, CI/CD, Model Versioning, Real-time Inference, API Integration, Git

Cloud & Infrastructure:
Microsoft Azure, AWS, Azure Blob Storage

Analytics & Visualisation:
Power BI, Tableau, Google Docs API, Power Platform (PowerApps, Power Automate, Power BI)

Enterprise Systems:
SAP SuccessFactors (Employee Central Core), SAP HCM, SAP S/4HANA, ABAP, Familiarity with SAP ECC modules (FI, MM, SD, PP, HR)

Methods & Practices:
Agile Development, Human-Centred Design, Responsible AI, AI Ethics, Cross-functional Collaboration, Stakeholder Communication, Prototype-to-Production Deployment, Digital Transformation

Certification

  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Azure AI Fundamentals (AI-900)
  • CS50x – Introduction to Computer Science (Harvard University)

Projects

Exam Evaluation using Natural Language Processing


  • Developed a voice-activated exam evaluation system that converts spoken student responses into text using speech-to-text techniques


Timeline

AI Consultant

Freighter Group
07.2024 - Current

SAP SF Consultant

Kaar Technologies
02.2022 - 04.2023

Master of Applied Artificial Intelligence

Deakin University

Bachelor of Technology in Computer Science

SMVEC
Ramani Soud