# Sanskar Garodia

> AI Engineer building scalable, end-to-end AI solutions from idea to deployment in the cloud | MLOps & LLM Application Development | AWS Certified Solutions Architect

Profile: https://flows.cv/sanskar

Is your data talking, or is it just making noise? I build the AI that listens.

As an AI/ML Engineer, my passion is turning complex data into intelligent, high-impact AI solutions. I thrive on the entire development lifecycle—from the initial spark of an idea to its deployment and optimization in the cloud. My approach is hands-on and end-to-end, bridging the gap between pure machine intelligence and practical, human-centered applications.

I build everything from sophisticated, LLM-powered agents that can reason and act, to robust predictive models and anomaly detection systems. More importantly, I own the entire MLOps pipeline to ensure these solutions become scalable, resilient applications on cloud platforms like AWS, delivering tangible results.

Core Competencies:
🤖 LLM & Generative AI Development (LangChain, LangGraph)
⚙️ MLOps & Scalable Deployment (Docker, CI/CD, AWS)
☁️ Cloud Architecture (AWS Certified Solutions Architect)
🐍 Python | TensorFlow | PyTorch | SQL

## Work Experience
### AI Engineer @ FinOpsly
Jan 2025 | Cincinnati, Ohio, United States
• Implementing Snowflakes Lab and AWS Labs MCP Servers for Snowflakes and AWS Cost and usage optimization recommendation automation
• Integrated AWS API MCP Server with AI Agents to enable secure, direct interaction with AWS services, automating cost and usage recommendations that cut manual analysis time by 85%, reduced operational overhead by 40%, and tripled decision-making speed
 • Engineered a Langchain-based AI agent issuing LLM calls to generate optimized SQL queries for Snowflake, retrieving over 100 million AWS CUR records monthly and reducing data-fetch latency by 60%

### Data Analyst @ Daily Trojan
Jan 2024 – Jan 2025 | Los Angeles, California, United States
• Analyzed historical news and data, ensuring accuracy and relevance by preprocessing and cleaning datasets.
• Created insightful visualizations using Flourish, transforming complex data into actionable insights for stakeholders.
• Identified key trends and patterns through detailed analysis, supporting data-driven decision-making.
• Worked closely with cross-functional teams, delivering reports and dashboards to present findings in an accessible format.

### Full Stack Developer @ Zavvis Technologies
Jan 2024 – Jan 2025 | Florida, United States
• Engineered a scalable web application using Next.js and Supabase, transforming early-stage designs into fully functional interfaces, reducing development time by 50%
• Collaborated with the founding team to create an investor-ready pitch deck, aiding in securing $500k in funding 
• Integrated machine learning models into the web application to deliver scalable financial insights, designed to support data-driven decision-making for up to 10,000 users post-launch

### AI and Software Engineer @ FinOpsly
Jan 2024 – Jan 2024 | Cincinnati, Ohio, United States
• Spearheaded integration of AI-driven solutions, improving operational efficiency by 50% 
• Developed a machine learning model to automate cloud optimization processes for Amazon Web Services (AWS) and Microsoft Azure, leveraging inbuilt services such as AWS Cloud Explorer and AWS Trusted Advisor 
• Gained comprehensive knowledge of solution architecture, enabling design and implementation of scalable and efficient AI-driven systems

### Market Researcher @ Extern
Jan 2024 – Jan 2024 | Los Angeles, California, United States
• Gained strategic insights on policy impact, and also guided NRG's engagement with key influencers

### Software Engineer @ Infinite Computer Solutions
Jan 2022 – Jan 2023
• Utilized Azure DevOps for sprint planning, task tracking, managing deployment and defects for cross-functional Agile 
development teams. Also, worked on Azure App Services and utilized features like Azure Monitor to gain application insight 
• Engineered an AJAX-based asynchronous notification feature, cutting response time by 35% and increasing user engagement by 
20%, significantly boosting app performance and user satisfaction 
• Completed formal training of C# and ASP.NET and incorporated skills for apply design patterns like MVC, Repository patterns 
for design scalable and modular software architecture 
• Committed to software development at Defi Solutions, managing critical features and enhancements for a global vehicle loan 
management system used by 170+ clients, while collaborating with cross-functional teams 
• Collaborated globally with both development teams and clients to discuss essential features for inclusion in the application

### Full Stack Developer Intern @ volstory official
Jan 2021 – Jan 2021
• Employed Flutter for cross-platform app development, ensuring seamless user experience on both Android and iOS devices 
• Integrated various third-party APIs for features including location-based services 
• Led end-to-end front-end development for a food ordering app, transforming initial sketches into a polished prototype with 
Flutter 
• Architected and launched the Vrinda mobile app with a tech stack including Spring Boot, Maven, Java, Tomcat, and Flutter; 
boosted user engagement by 50% and cut app crashes by 25%.


## Education
### Master of Science - MS
University of Southern California

### Bachelor of Technology - BTech
MIT World Peace University


## Contact & Social
- LinkedIn: https://linkedin.com/in/sanskar-garodia
- Portfolio: https://sanskar-portfolio-c28a5.firebaseapp.com/
- GitHub: https://github.com/sanskargarodia
- Portfolio: https://sanskar-garodia.vercel.app
- Email: mailto:sanskargarodia05@gmail.com

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Source: https://flows.cv/sanskar
JSON Resume: https://flows.cv/sanskar/resume.json
Last updated: 2026-04-17