vedant madane - Resume

PROFESSIONAL SUMMARY

Motivated AI Developer with 4+ years of software development experience specializing in building and deploying intelligent AI/ML systems. Hands-on expertise in implementing production-grade AI solutions using Azure cloud services, Python, and .NET technologies. Proven track record in developing cloud-native applications, operationalizing AI models, and implementing MLOps pipelines. Strong foundation in Azure AI services, containerization, and agile development methodologies. Passionate about leveraging cutting-edge AI technologies to solve real-world enterprise challenges.

CORE TECHNICAL EXPERTISE

AI/ML Development: Python, C#, Model Development, Integration, Multi-agent Systems

Azure AI Services: Azure Machine Learning, Cognitive Services, Azure AI Foundry, Azure OpenAI

MLOps & GenAIOps: Model Lifecycle Management, Deployment Pipelines, Versioning, Monitoring

Cloud Infrastructure: Azure (Compute, Storage, Networking), Microservices, Event-driven Architecture

Containerization: Docker, Kubernetes, AKS (Azure Kubernetes Service)

Development Tools: Git, CI/CD, Azure DevOps, Agile Methodologies, REST APIs

PROFESSIONAL EXPERIENCE

Maharashtra Knowledge Corporation Limited | Aug 2021 - Present

Senior AI Developer - Azure AI & Cloud Solutions

Aug 2024 - Present

Developed and integrated AI/ML models into enterprise applications using Python and Azure AI services, improving user engagement by 35%
Architected scalable cloud-native AI applications on Azure platform with focus on performance, reliability, and maintainability using Azure Machine Learning and Cognitive Services
Implemented MLOps and GenAIOps pipelines for complete model lifecycle management including training, deployment, monitoring, and versioning
Built conversational AI systems and multi-agent workflows using Azure OpenAI services to match 250+ courses with candidate profiles
Collaborated with Systems Architects and cross-functional teams following agile development cycles to deliver innovative AI-powered solutions
Maintained comprehensive documentation and traceability of AI components ensuring code quality through reviews and testing
Designed intelligent workflows leveraging Azure AI Foundry design areas including application design, data platforms, and grounding data

AI/ML Engineer - Azure Cloud & MLOps

Aug 2023 - Jul 2024

Implemented AI/ML models using Python for processing 100,000+ documents with 94% accuracy, deployed on Azure cloud infrastructure
Built data pipelines and integration frameworks using REST APIs for seamless AI model integration with enterprise applications
Developed containerized AI solutions using Docker and deployed on Azure Kubernetes Service (AKS) for scalability and orchestration
Participated in code reviews, testing, and deployment activities following CI/CD practices and maintaining version control with Git
Contributed to responsible AI practices ensuring model fairness, transparency, and ethical considerations in deployment
Engineered feature extraction pipelines utilizing Azure Cognitive Services for OCR, text recognition, and security feature detection
Implemented microservices architecture for modular AI component deployment with event-driven processing capabilities

Software Developer - AI/ML Solutions

Aug 2022 - Jul 2023

Designed and developed AI-enabled applications using Python and integrated them with Azure cloud services (compute, storage, networking)
Built scalable ML pipelines incorporating model training, validation, and deployment following MLOps best practices
Deployed production models to Azure and AWS environments using Docker containers with automated CI/CD pipelines
Collaborated with product, engineering, and analytics teams in agile development environment to refine AI features and monitor performance
Developed REST APIs using FastAPI and Flask for AI model serving with proper versioning and documentation
Contributed to continuous improvement initiatives by staying current with emerging AI technologies and Azure AI advancements
Implemented intelligent testing frameworks for AI components ensuring reliability and maintainability

Associate Developer - Data Analytics & AI

Aug 2021 - Jul 2022

Developed AI/ML solutions using Python for automated data analysis and intelligent insights generation
Built data processing workflows with focus on software development best practices including version control and testing
Implemented computer vision models for ID verification and authentication systems using Azure Cognitive Services
Conducted sentiment analysis on user feedback data leveraging Azure AI Text Analytics for UX improvements
Participated in agile development sprints with strong problem-solving approach and excellent team collaboration
Created comprehensive documentation and maintained traceability of analytics components

KEY AI/ML PROJECTS

Enterprise AI Document Processing System

Azure AI-Powered Intelligent Application with MLOps

Built end-to-end AI application using Azure Machine Learning and Cognitive Services processing 100,000+ documents
Implemented MLOps pipeline with Azure DevOps for model training, testing, deployment, and monitoring
Deployed using Docker containers on AKS with microservices architecture for scalability
Technologies: Python, Azure ML, Cognitive Services, Docker, Kubernetes, AKS, Azure DevOps, REST APIs
Impact: 94% accuracy, 90% reduction in processing time, scalable cloud-native architecture

Intelligent Log Analyzer with Multi-Agent System

AI-Powered Real-time Analytics & Predictive Maintenance

Developed intelligent workflow system with multi-agent architecture for proactive issue prediction
Integrated AI models using Python and Azure services for real-time log analysis and anomaly detection
Implemented data pipelines and integration frameworks with REST APIs for seamless enterprise integration
Technologies: Python, Azure AI, Docker, CI/CD, Agile Development, Version Control (Git)
Impact: Real-time anomaly detection, predictive maintenance capabilities, enterprise-grade reliability

TECHNICAL SKILLS

Programming Languages: Python (Expert), C#, JavaScript, SQL

Azure AI Services: Azure Machine Learning, Cognitive Services, Azure OpenAI, Azure AI Foundry

ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, Transformers

MLOps & GenAIOps: Model Lifecycle Management, MLflow, Azure ML Pipelines, Monitoring, Versioning

Azure Cloud: Compute, Storage, Networking, Azure Functions, Azure Logic Apps

Containerization: Docker, Kubernetes, Azure Kubernetes Service (AKS)

Architecture: Microservices, Event-driven Architecture, Cloud-native Applications

Development Tools: Git, Azure DevOps, CI/CD, REST APIs, FastAPI, Flask

Methodologies: Agile, Scrum, Code Reviews, Software Best Practices

Data & Integration: Data Pipelines, Integration Frameworks, Pandas, NumPy

EDUCATION

Bachelor of Engineering - Electronics and Telecommunication

Graduated June 2021

University of Mumbai | CGPI: 7.49

Copyright Registration (2023) - AI Programs for Sentiment Analysis and NLP Tasks

KEY ACHIEVEMENTS & DIFFERENTIATORS

4+ years professional software development experience with demonstrated AI/ML project delivery

Hands-on experience implementing AI/ML models using Python and Azure AI services in production environments

Proven expertise in cloud-native application development with Azure compute, storage, and networking

Strong foundation in MLOps pipelines and responsible AI practices with focus on ethical deployment

Experience with containerization (Docker) and orchestration (Kubernetes, AKS) for scalable deployments

Proficiency in software development best practices including Git version control, CI/CD, and agile methodologies

Demonstrated experience with REST APIs, data pipelines, and integration frameworks for enterprise solutions

Strong problem-solving skills with eagerness to learn and stay current with emerging AI technologies

Excellent communication and collaboration abilities with cross-functional teams

Open to relocation to Vadodara for Fluor Daniel Private Limited opportunity