Open to work· Mandsaur, MP, India

I'm Yuvraj.

Full-Stack Developer leveraging Java, Next.js, FastAPI, and AI/ML to build scalable applications.

I'm a computer science engineering student (AI specialization) and developer based in India. I focus on building production-grade full-stack applications, intelligent multimodal RAG systems, and performant backend services with Java, Python, and TypeScript.

Curriculum Vitae

Yuvraj Singh Rathore

+91 6232394854|uv3704@gmail.com|Mandsaur, MP, India
Infosys SpringBoard |  Certificate ↗ |  GitHub ↗
Oct 2024 – Dec 2024
AI/ML InternRemote
  • Built CNN model using TensorFlow achieving 97.5% accuracy on 10-class classification (5000+ images); applied data augmentation techniques
  • Reduced model size by 35% using quantization and pruning; tested 5+ optimizers (Adam, SGD, RMSprop) for deployment efficiency
ThrivesUp Consultancy Services Pvt Ltd |  Certificate ↗ |  GitHub ↗
Jul 2025 – Sep 2025
Java Backend InternIndore
  • Developed 12+ RESTful API endpoints using Java, Spring patterns, JDBC, and MySQL for Academic Record Management
  • Optimized database queries reducing response time from 500ms to 80ms; implemented transaction handling and error logging for 1000+ records
Mandsaur, MP, IndiaFull Career & Projects →

Engineering Principles & Architecture

Core philosophies guiding how I design, optimize, and scale software systems.

Systems · AI/ML · Full-Stack
01

Systems Latency & Throughput

Database & Backend Optimization

Architecture is measured in milliseconds. Prioritizing JDBC connection pooling, indexed query execution plans, and asynchronous FastAPI worker pipelines to compress backend roundtrips from 500ms down to sub-80ms for enterprise loads.

02

Deterministic AI & Production RAG

Beyond Toy LLM Wrappers

Moving beyond basic prompt engineering into resilient retrieval pipelines. Engineering hybrid BM25 + dense vector embeddings (pgvector/ChromaDB), contextual semantic chunking, cross-encoder reranking, and low-latency token streaming.

03

Edge Efficiency & Quantization

Computer Vision & Deep Learning

Building neural networks for compute-constrained production environments. Training custom CNN architectures with TensorFlow (97.5% accuracy), applying INT8 quantization and structured pruning to compress payload sizes by 35% with zero inference degradation.

04

Type Safety & Resilient Delivery

Full-Stack Hygiene & Containers

Strict end-to-end typing across TypeScript and Java. Designing decoupled microservices with Docker containerization, strict error boundaries, transactional ACID guarantees, and automated CI/CD deployment pipelines.

Production Systems · Architecture Showcase

Explore the deployed platforms, benchmarks, and codebase architectures.

From hybrid-search multimodal RAG platforms (BetterBee) to production job marketplaces (Freelancer) and computer vision classifiers.

Explore Projects Catalog
Open for Opportunities

Let's build scalable, production-grade systems together.

Seeking Full-Stack, Backend, or AI/ML roles where I can leverage expertise in Java, Next.js, FastAPI, RAG pipelines, and database optimization to create high-impact software.

Direct Communication Channels
Phone / WhatsApp+91 6232394854
LocationMandsaur, Madhya Pradesh, India (Open to Remote & Relocation)