Programming & Core
PythonJavaJavaScriptTypeScriptSQLOOPData Structures
AVAILABLE FOR IMMEDIATE JOINING
Hello, I’m
Sarin S.
AI/ML Engineer | Full Stack Developer | Backend Developer
Building practical AI-powered products, intelligent applications, scalable backend systems, and end-to-end web solutions.
2026 Computer Science graduate with hands-on experience in Python, Java, FastAPI, Spring Boot, React.js, SQL, Machine Learning, NLP, OCR, LLMs, RAG, REST APIs, PostgreSQL, AWS, and full-stack development.
I build projects from idea → architecture → development → AI integration → API development → database integration → testing → deployment.
01 / About me
A builder with an AI-first, product-minded approach.
I’m Sarin S, a 2026 B.E. Computer Science and Engineering graduate with a 9.25/10 CGPA. I focus on translating complex technical requirements into useful, resilient software.
My work spans practical AI applications, full-stack web experiences, and scalable backend systems. I enjoy owning the complete development cycle—from architecture and development through AI integration, database design, testing, and deployment.
Education
B.E. CSE, 2026
CGPA
9.25 / 10
Status
Fresher · Relocation open
02 / Technical skills
A practical technical foundation across the stack.
Tools and technologies used across AI, backend, database, and responsive frontend development.
Backend
Spring BootFastAPIFlaskDjangoREST APIsAPI IntegrationCRUDAuthentication
Frontend
React.jsNext.jsHTML5CSS3Tailwind CSSResponsive Web Development
Databases
MySQLPostgreSQLPL/SQLMongoDBSQLiteDatabase DesignNormalizationQuery Optimization
AI & Machine Learning
Machine LearningNLPOCRPyTorchTensorFlowScikit-learnXGBoostNumPyPandasLLMsGeminiGroqLangGraphRAG
Cloud & DevOps
AWS EC2AWS S3GitGitHubCI/CD BasicsDocker BasicsAgile/Scrum
Tools
IntelliJ IDEAVS CodePostmanDocker
03 / Expertise
Focused where intelligent products meet reliable engineering.
01
AI / ML Expertise
- Machine Learning, NLP, OCR, LLMs, Gemini, Groq, LangGraph, and RAG
- PyTorch, TensorFlow, Scikit-learn, XGBoost, NumPy, and Pandas
- AI integrations grounded in practical workflows and structured outputs
02
Full Stack Expertise
- React.js, Next.js, JavaScript, TypeScript, HTML5, CSS3, and Tailwind CSS
- Responsive web development, API integration, and end-to-end product delivery
- UX-focused interfaces connected to data and backend services
03
Backend Expertise
- Spring Boot, FastAPI, Flask, Django, REST APIs, CRUD, and authentication
- MySQL, PostgreSQL, PL/SQL, MongoDB, SQLite, database design, and query optimization
- AWS EC2, AWS S3, Git, GitHub, Docker basics, and CI/CD basics
04 / Featured projects
Selected work built around real technical challenges.
Each project highlights the problem, solution, technical direction, and contribution.
AI / MLPROJECT / XEDLAB-CLINICAL
XEDLAB Clinical
AI medical report analysis with trustworthy, source-aware clinical insights.
Problem
Medical reports span PDFs, images, and text, making reliable extraction and understandable analysis difficult.
Solution
Built an end-to-end AI platform that processes reports, validates lab values, classifies reports, and supports cited Q&A.
Key features
- OCR document extraction
- PDF, image, and text processing
- 11-class report classification
- Abnormality detection
- Deterministic lab-value validation
- RAG-based Q&A with source-page citations
- JWT authentication, rate limiting, CORS, and privacy-safe logging
Technologies
ReactFastAPIPythonOCRNLPMachine LearningLLMsRAG
Technical concepts
REST APIs · React frontend · FastAPI backend · Render deployment
My contribution
Designed and developed the product from the document-processing flow through AI integration, APIs, and user interface.
AI / MLPROJECT / MEDICAL-AI
Medical AI
An AI-powered healthcare platform for analysis, recommendations, and patient support.
Problem
Patients need a clearer digital touchpoint for symptom exploration, healthcare recommendations, and ongoing support.
Solution
Created a responsive healthcare platform combining NLP and machine-learning-driven analysis with accessible workflows.
Key features
- Symptom analysis
- Disease prediction
- NLP-based analysis
- Healthcare recommendations
- Patient support
- Appointment management
- Health monitoring
- AI API integration
Technologies
React.jsTailwind CSSJavaScriptNLPMachine LearningAI APIsREST APIsGitGitHub
Technical concepts
Responsive UI · API integration · Healthcare workflows
My contribution
Developed the responsive interface and integrated AI-powered analysis and REST API experiences.
AI / MLPROJECT / MULTI-LLM-ASSISTANT
AI Multi-LLM Assistant
Compare multiple LLM responses side by side through a unified chat experience.
Problem
Assessing model outputs across providers can be fragmented and time-consuming.
Solution
Built a FastAPI and React assistant that processes prompts and presents OpenAI and Gemini responses together.
Key features
- OpenAI API
- Google Gemini API
- Multi-LLM comparison
- Side-by-side responses
- Prompt processing
- Persistent chat history
- Token authentication
Technologies
PythonFastAPIReact.jsOpenAI GPT APIGoogle Gemini API
Technical concepts
FastAPI REST APIs · Persistent chat history · React interface
My contribution
Implemented the prompt processing, API layer, authentication flow, and side-by-side interaction model.
GitHub Profile Live demo URL was not provided.
BackendPROJECT / INTERVIEW-ATS-PLATFORM
AI Interview & ATS Resume Platform
NLP-powered resume and job-description analysis for stronger interview preparation.
Problem
Candidates need clearer signals on resume alignment and ATS readiness for specific roles.
Solution
Built an AI-focused platform that parses resumes, analyzes job descriptions, and supports interview preparation.
Key features
- Resume parsing
- ATS analysis
- NLP processing
- Job-description analysis
- Resume matching
- AI interview functionality
Technologies
PythonNLPPostgreSQLREST APIs
Technical concepts
PostgreSQL · REST APIs · Resume matching
My contribution
Created the analysis workflows linking NLP processing, job matching, database storage, and interview features.
AI / MLPROJECT / INVOICE-EXTRACTION
AI Invoice Information Extraction
Document AI pipeline for turning invoices into structured JSON data.
Problem
Invoice fields are commonly embedded in varied document layouts and require manual extraction.
Solution
Developed an end-to-end document understanding workflow using OCR and LayoutLMv3 for key-field extraction.
Key features
- OCR
- Document preprocessing
- LayoutLMv3
- Deep learning
- Key-field extraction
- Model fine-tuning
- Model evaluation
- Structured JSON generation
Technologies
PythonLayoutLMv3OCRStreamlit
Technical concepts
End-to-end ML pipeline · Document AI · Structured output
My contribution
Built the preprocessing, model workflow, evaluation flow, and Streamlit interface for document extraction.
Full StackPROJECT / WEBECHO
WebEcho
Premium web hosting platform with a modern, authenticated full-stack architecture.
Problem
A web platform needs a responsive frontend and secure API-backed workflows to feel cohesive.
Solution
Built a full-stack hosting platform connecting a TypeScript React interface to Django REST Framework services.
Key features
- React frontend
- TypeScript
- Tailwind CSS
- Django REST Framework
- REST APIs
- JWT authentication
- Backend integration
- Responsive UI
Technologies
ReactTypeScriptViteTailwind CSSDjango REST FrameworkSimpleJWT
Technical concepts
Full-stack architecture · JWT authentication · Backend integration
My contribution
Developed the frontend experience and integrated it with authenticated REST API backend workflows.
FrontendPROJECT / PRIMEFORM
Primeform / VMC Operator HMI
A responsive web-based operator interface for industrial machine workflows.
Problem
Industrial operator workflows need a clear, responsive interface that supports machine-focused tasks.
Solution
Created a web-based human-machine interface with responsive interaction patterns for operator use.
Key features
- Web-based industrial operator interface
- Machine and operator workflows
- Responsive interface
- Frontend development
Technologies
ReactJavaScriptTailwind CSS
Technical concepts
Human-machine interface · Responsive design · Workflow-focused frontend
My contribution
Designed and implemented the responsive frontend interface for machine and operator workflows.
05 / Internship experience
Experience contributing to full-stack and frontend delivery.
Nov 2024 – Feb 2025
Oracle APEX Developer Intern
Nainu Startups Edu-Tech
- Full-stack application development and CRUD across 5+ business modules
- Relational database design with normalized schemas, validation rules, and data integrity
- Worked within Agile/Scrum and SDLC practices as part of a 4-member development team
- Reduced redundant records by 30% and user task completion time by 20%
Oct 2025 – Nov 2025
Web Development Intern
Cognifyz Technologies
- Built responsive web applications and contributed to frontend development
- Debugged and optimized performance across 10+ web pages
- Reviewed 20+ pull requests and resolved 15+ bugs
- Improved page-load performance by 25% and reduced post-release defects by 18%
06 / Certifications
Continuous learning across Java, cloud, networking, and AI.
Java, Spring Boot & DSA – Revamp Academy
AWS Academy Cloud Architecting
Cisco Networking Fundamentals
AI Certification – Infosys Springboard
07 / Achievement
Hackathon Winner
Catch 24-25, Mahendra Institute of Technology
08 / Get in touch
Let’s talk about the next product you’re building.
Open to AI/ML, AI engineering, software, backend, Python, full stack, data science, data analyst, and business analyst opportunities.