// AI SOFTWARE ENGINEER
HI, I'M
SAINANDAN
AI Software Engineer passionate about building intelligent applications, scalable backend systems, and modern full-stack experiences.
01 / 09ABOUT ME
I'm a Computer Science student at KL University and an AI Software Engineer passionate about solving real-world problems with intelligent software.
My interests lie at the intersection of AI, backend engineering, cloud computing, and modern web development.
I enjoy designing scalable systems, building Retrieval-Augmented Generation (RAG) applications, and creating polished user experiences that combine powerful engineering with intuitive design.
EXPERIENCE
JPMorgan Chase & Co.
Designed backend microservices and AI-powered RAG pipelines at one of the world's largest investment banks.
- Designed backend microservices in Java and Spring Boot with Apache Kafka event-driven architecture for real-time data streaming
- Built a RAG pipeline using FastAPI, PostgreSQL/pgvector, and Amazon Bedrock with vector search and semantic embeddings
- Built internal tooling with React.js, collaborating with stakeholders across product and engineering
- Set up CI/CD pipelines and containerized services with Docker, writing JUnit/Mockito test suites for high test coverage
- Participated in regular code reviews and architecture discussions across the SDLC
Igebra.ai
Built AI-powered full-stack educational tools integrating multiple LLMs and media APIs into a unified platform.
- Built AI-powered full-stack educational tools using React.js, Next.js, and Vercel AI SDK
- Integrated OpenAI, Gemini, image generation, voice, and caption APIs into a unified platform
- Designed responsive, animated UI components translating design concepts into production-ready interfaces
- Engineered backend API routing with Node.js and TypeScript for real-time LLM response streaming
- Collaborated with cross-functional design and product teams in an agile workflow
AI Quantum Smart Solutions
Developed deep learning models for computer vision, achieving measurable improvements in classification accuracy.
- Developed and optimized deep learning models using TensorFlow and PyTorch for image processing and computer vision
- Achieved 15% improvement in classification accuracy through model optimization techniques
- Performed data analysis and feature engineering using Python, pandas, and NumPy to inform model design
PROJECTS
EduSphere
An AI-powered learning platform that combines Gemini AI with YouTube recommendations to generate educational content personalized by topic, skill level, and learning goals.
Schema Design Assistant
An AI-powered tool that generates optimized MongoDB schemas from natural language descriptions. Uses Groq AI (llama-3.3-70b) to produce collections, fields, relationships, index recommendations, and interactive schema diagrams with React Flow.
BookStore API
A Spring Boot REST API demonstrating clean architecture principles, JPA/Hibernate ORM, PostgreSQL integration, comprehensive testing with JUnit/Mockito, and Docker containerization.
AI RAG Platform
A Retrieval-Augmented Generation pipeline using LangChain for orchestration, pgvector for vector search, FastAPI for serving, and OpenAI embeddings for highly accurate knowledge retrieval.
TECH STACK
Languages
Frontend
Backend
AI/ML
Cloud
DevOps
COMMUNITY & LEADERSHIP
AI & Cloud Computing Lead
Google Developer Groups on Campus — KLHBLead technical sessions and workshops on AI/ML and cloud computing for a student developer community, mentoring peers on hands-on projects. Coordinate with the core organizing team to plan hackathons and speaker sessions, driving engagement within the campus tech ecosystem.
PR and Outreach Head
GeeksforGeeks Student Chapter, KLHBLed outreach and public relations efforts for the chapter, building partnerships with sponsors and other student communities to grow event participation. Promoted and coordinated logistics for coding contests, workshops, and technical events for the campus developer community.
Former Member
Association for Computing Machinery (ACM)Former member who engaged with technical talks, coding challenges, and peer discussions within the computing community.
CERTIFICATIONS
Professional cloud & developer credentials
ACHIEVEMENTS
Programs & selective opportunities I've been accepted into
Selective program covering machine learning, deep learning, and distributed systems.
Achieved the highest tier (Legend) on Google Cloud Skills Boost Arcade program by completing cloud skill challenges and labs.
Selective global program taught by Stanford instructors and section leaders covering foundational CS concepts.
Selective leadership development program for high-potential students worldwide.
Selective leadership and problem-solving program by McKinsey & Company.
LET'S BUILD
Have an idea, a project, or just want to connect? Let's build something awesome together. I'm always open to interesting conversations and collaborations.