Open to opportunities

shrey mittal

@shreymittal

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Software engineer focused on MLOps, Generative AI, and scalable cloud automation.

India

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What I'm looking for

I'm seeking a role where I can build MLOps and AI-driven solutions on cloud platforms, collaborate cross-functionally, and drive automation and measurable business impact.

I'm a results-driven software engineer specializing in Machine Learning, Generative AI, and end-to-end MLOps on Azure. I translate business needs into scalable, automated solutions using Python, CI/CD pipelines, and cloud infrastructure.

At Pwin.ai and Applied Information Sciences, I helped build an LLM-powered proposal engine and optimized Azure deployments to cut annual cloud costs by $50,000 while improving team productivity and deployment frequency.

I design and implement CI/CD pipelines, API-driven microservices, and infrastructure-as-code using tools like Azure DevOps, Bicep, Docker, and PowerShell, and I build analytics and dashboarding solutions with Power BI and Azure Workbooks.

I enjoy collaborating across functions, improving processes through automation, fine-tuning ML models and inference, and delivering measurable outcomes in cost savings, engagement, and system reliability.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Applied Information Sciences

Oct 2023 - Present (1 year 11 months)

Optimized Azure infrastructure and Power BI analytics to cut annual cloud costs by $50,000 and automated budget tracking; built Azure DevOps CI/CD pipelines that reduced provisioning time by 40% and doubled deployment frequency while powering an LLM-based proposal engine that increased productivity.

Azure Azure DevOps Bicep PowerShell Power BI CI CD Python API Development MLOps

Associate Consultant

Applied Information Sciences

Mar 2023 - Oct 2023 (7 months)

Developed a PowerApps Canvas app integrated with OpenAI and fine-tuned an Azure OpenAI chat completion bot that improved accuracy by 30% and reduced response latency by 40%; conducted SonarQube analyses to improve code quality and security.

Model Fine Tuning SonarQube APIs Python Performance Optimization

Education

Degrees, certifications, and relevant coursework

University of Petroleum and Energy Studies

Bachelor of Technology, Computer Science (Big Data)

Activities and societies: Microsoft Certified: Azure Fundamentals (07/2023); Microsoft Certified: Azure AI Fundamentals (01/2024); Copyright Holder – Real-Time Weather Analysis (U-4Cast).

Completed a Bachelor of Technology (B.Tech) in Computer Science with a major in Big Data, graduating in May 2023.