Shrey Mittal

I'm Coder|

About

Results-driven Software Engineer specializing in Machine Learning, Generative AI, and Cloud-based MLOps. Proven expertise in LLM development, API engineering, and Azure cloud infrastructure, with a track record of optimizing costs, automating processes, and enhancing AI solutions. Successfully achieved $50K in annual cloud cost savings and engineered AI-driven automation solutions to improve efficiency. Proficient in Python, C#, SQL, Power BI, OpenAI, and CI/CD pipelines, with a strong ability to translate business needs into scalable, high-performance solutions.

Birthday: 8 January 2001
Phone: +91 8979244789

City: Agra, India
Email: Shrey8979@gmail.com

Interests

Software Development

Machine Learning

Natural Language Processing

Powershell Scripting

Devops

Data Science

Algorithms

Hobbies

Cooking

Travel

Anime

Stock Analysis

Trekking

Education

B.Tech. in Computer Science Specialize in Big Data

Aug 2019 - May 2023

Relevant Coursework

Data Structures & Algorithms
Database Management Systems
Data Analysis using Big Data tools
Machine Learning & Data Science

Online Certification

Azure AI Fundamentals

Azure Fundamentals

Introduction to Data Science in Python

Fundamentals of Quantitative Modeling

Introduction to Spreadsheets and Models

Decision-Making and Scenarios

Modeling Risk and Realities

Experience

Applied Information Sciences

March 2023 - Present

Software Developer

Led innovation at Pwin.ai, an LLM-powered proposal automation platform, accelerating content generation, productivity, and efficiency.
Developed an AI model benchmarking API at Pwin.ai, improving efficiency, accuracy, and response time comparisons for customer-designed AI solutions.
Optimized Azure cloud infrastructure, achieving $50K in annual savings using Power BI analytics and automated cost management.
Created CI/CD pipelines in Azure DevOps, reducing provisioning time by 40% and improving deployment efficiency by 2x.
Supervised demo environments, overseeing Azure resource deployment, lifecycle management, and automated teardown for client use cases.
Streamlined infrastructure deployments using PowerShell scripts, minimizing manual intervention and ensuring seamless production fixes.
Enhanced Bicep templates to improve cloud scalability, security, and operational efficiency.
Designed Azure Workbooks, increasing sales team efficiency by 30%, leading to a 15% increase in customer engagement and 20% faster decision-making.
Built Power BI dashboards to analyze customer adoption trends and financial insights, aiding strategic business planning.
Implemented an automated notification system via Power Automate Flows, reducing customer response time by 50%.

March 2023 - October 2023

Associate Consultant

Developed a Canvas App in PowerApps, integrating OpenAI for a chat assistant, enhancing user interaction and automation capabilities.
Designed a high-performance Chat Completion bot using Azure OpenAI Service, improving chatbot accuracy by 30% and reducing response time by 40%.
Conducted in-depth code analysis using SonarQube, enhancing security, maintainability, and compliance across projects

Everlytics Data Science

May 2022 - June 2022

Data Engineer Internship

It was a data engineer internship in which managed the database of the client. Reducing the old BTEQ scripts stored in the oracle server and converted them into MariaDB scripts and wrapping them in the python automation scripts.
Worked on the configuration of Kafka consumer and producer and Elasticsearch Index for the client's data to be ingested and visualized .