Vinayak Mane

AI Researcher

Melbourne, Victoria, Australia2 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in MLOps and AI deployment.
Proven track record in predictive maintenance projects.
Strong background in machine learning and computer vision.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on MLOps and predictive analytics.

Contact

Skills

Core Skills

Customer Relationship Management (crm)SalesMachine LearningComputer VisionMlopsPredictive MaintenanceSoftware DevelopmentData Science

Other Skills

Customer ServiceCustomer SupportObject DetectionNatural Language Processing (NLP)Image ProcessingPython (Programming Language)PySide2Deep LearningTensorFlowGitAmazon Web Services (AWS)SQLMCSAPredictive AnalyticsAWS

About

🚀 AI & MLOps Engineer | Machine Learning | Generative AI | Cloud Deployment I am a motivated and results-driven Engineer with strong expertise in Machine Learning, Deep Learning, Computer Vision, and NLP. I have delivered multiple end-to-end, industry-level projects that combine AI research with scalable deployment, bridging the gap between prototyping and production. 💡 Skilled in the full MLOps lifecycle , from data versioning and experiment tracking to CI/CD, containerization, cloud deployment, and monitoring. I ensure models are not just accurate, but also reliable, scalable, and production-ready. 🌐 Currently focused on Large Language Models (LLMs), Generative AI, and RAG pipelines, building intelligent AI agents and exploring enterprise applications that drive real business impact. I am passionate about applying cutting-edge AI to solve complex challenges and create measurable outcomes. Always eager to collaborate, innovate, and deliver solutions that push boundaries in the AI space. 📩 Let’s connect and explore how we can build the future of AI together!

Experience

2 yrs 3 mos

Total Experience

9 mos

Average Tenure

Current Experience

Tfa legal

Artificial Intelligence Engineer

Mar 2026 – Present · 2 mos · Melbourne, VIC · Hybrid

Telstra

Consultant

Nov 2024 – Present · 1 yr 6 mos · Melbourne, Victoria, Australia · On-site

Leveraged Salesforce CRM (Console) to manage customer data, streamline workflows, and support data-driven decisions.
Coordinated with teams to ensure smooth operations and resolved conflicts effectively through strong communication.
Built skills in CRM systems, stakeholder engagement, and problem-solving, with exposure to AI-driven customer experience opportunities.

Customer Relationship Management (CRM)SalesCustomer ServiceCustomer Support

Blujay robotics private limited

Machine Learning Engineer

Jun 2023 – Jan 2024 · 7 mos · Pune, Maharashtra, India

Built ML solutions for robotic systems, implementing YOLO, CNNs, and ANNs for real-time object detection.
Developed a Python-based control system, improving automation, accuracy, and efficiency in robotics workflows.
Collaborated with engineers to integrate AI models into production, balancing research with deployment.

Object DetectionNatural Language Processing (NLP)Machine LearningImage ProcessingPython (Programming Language)Computer Vision+3

Deltafour®

Data Science Engineer

Nov 2022 – Jun 2023 · 7 mos · Banglore · Remote

Led a predictive maintenance (PdM) project, using LSTM and ensemble models for anomaly detection and fault classification.
Designed and deployed an MLOps pipeline with CI/CD, Docker, and AWS EC2, enabling scalable model training and deployment.
Coordinated with cross-functional teams to deliver insights from real-time industrial pump data, driving data-informed decisions.

Software DevelopmentTensorFlowGitAmazon Web Services (AWS)SQLNatural Language Processing (NLP)+9

Ineuron.ai

Machine Learning Intern

Jul 2022 – Feb 2023 · 7 mos

Worked on severel End to End Industry level projects

Software DevelopmentTensorFlowGitNatural Language Processing (NLP)Object-Oriented Programming (OOP)REST APIs+8

Cie automotive

Research And Development Engineer

Oct 2021 – Nov 2022 · 1 yr 1 mo · Aurangabad, Maharashtra, India · On-site

Applied ML to optimise HPDC processes, improving cycle stability and quality.
Built defect-prediction models (porosity, cold shuts, misruns) from machine logs and sensor data.
Developed anomaly detection & tool-wear prediction systems to reduce scrap and unplanned downtime.
Collaborated with production teams to convert model insights into better parameter windows and higher first-pass yield.

Machine LearningPython (Programming Language)StatisticsData Science