Hello

I am Sarvesh Patil,
an AI Engineer
& Full Stack
Developer.

About

Master's student in Computer Science at NC State with 2 years of software engineering experience at Nomura. I build AI-powered applications, intelligent automation tools, and scalable software systems, with experience across LLMs, agentic AI, Python, and full-stack development. Currently exploring Generative AI, LLMs, and AI engineering, with a focus on turning emerging AI capabilities into reliable, production-ready solutions. Currently seeking Summer 2027 internships in AI engineering and software development.

Download Resume

Education

Coursework: Design and Analysis of Algorithms (CSC 505), Parallel Systems (CSC 548), Generative AI in Software Evolution and Maintenance (CSC 591)

CGPA: 9.89/10 (Department Rank 1)
Honors Degree in Artificial Intelligence & Machine Learning
Recipient of Narotam Sekhsaria Foundation Scholarship for academic merit

Expertise

AI Engineering
Software Development
LLM & Agentic AI
Full-Stack Engineering
Data Engineering
System Design

Experience

Cut manual Change Assessment reviews & pre-submission rejections via a dual-agent Backstage plugin enforcing 19 compliance criteria, with Confluence/attachment ingestion, guardrails & Japanese output using LLMs & Python.
Sped up release & incident analysis from hours to seconds across 500+ apps by building AI-powered ETL pipelines with prompt chunking, generating root-cause analysis & management summaries using LLMs, Python & FastAPI.
Transformed fragmented access-control data across 5 regions & 40 divisions into an enterprise risk-monitoring platform by building an analytics dashboard with Sankey flows, live KPIs & SSE updates, powered by a Python ETL.
Strengthened platform security & reliability by implementing token-based API authentication, ETL retry logic & session caching that cut API latency by 80%, plus scheduled MongoDB backups enabling recovery within 1 hour.

Reduced pitchbook creation from days to hours & standardized 100+ annual pitchbooks as technical lead of 6 engineers, architecting an AI platform automating executive summaries, charts/maps & branded PowerPoint assembly.
Enabled natural language deck edits & automated competitor benchmarking via tool-calling LangGraph agents.
Eliminated a 30-day manual reporting cycle across 120+ application teams by building a real-time governance dashboard unifying incident, change, infringement & configuration data using React.js, TypeScript & MUI.
Boosted GitLab CI adoption by 25% by building a unified CI/CD plugin consolidating GitLab CI & Jenkins data from 500+ repositories into one dashboard, enabling data-backed Jenkins deprecation decisions using GraphQL.

Replaced paper-based records for 1,500+ public sanitation facilities across 25 wards by building a full-stack data-collection portal & admin dashboard using Next.js, Node.js, Express.js & MongoDB.
Lowered server storage costs by 50% by building an image compression pipeline with Sharp for facility data uploads.
Owned the portal end-to-end: 2Factor OTP auth, PDF/Excel reporting (jsPDF, XLSX) & AWS EC2 hosting.

Delivered seamless 3D model search and purchase by integrating Sketchfab and Poly-Pizza APIs with a Razorpay payment gateway, improving user workflow and platform usability.
Strengthened authentication security by implementing Passport.js and bcrypt-based encryption in MongoDB, enhancing data protection and reducing security risks.
Improved user workflow efficiency by architecting the Mongoose schema and building the Login, Register, and Courses pages in React.js/TailwindCSS, reducing latency and enabling smoother interactions.

Improved policy accuracy by implementing validation logic, reducing manual errors.
Enhanced release stability by testing and managing/merging code, cutting deployment issues.
Enabled efficient data sharing by adding PDF dashboard downloads, boosting reporting efficiency.
Achieved clearer product direction by designing Figma wireframes and prototypes, reducing development rework.