🚀 Software Engineer @ VerifiedTalent
🎓 Integrated B.Tech + M.Tech in Information Technology, IIIT Gwalior
⚡ Focused on backend engineering, distributed systems, databases, infrastructure, and applied AI systems
Backend-focused Software Developer with experience building production web applications, APIs, AI-powered workflows, and cloud-hosted systems in fast-paced startup environments.
I primarily work with Node.js, TypeScript, PostgreSQL, Redis, MongoDB, Docker, and AWS, with interests spanning backend architecture, distributed systems, database design, infrastructure, and applied AI.
Outside of work, I enjoy building personal projects, studying system design and backend engineering patterns, exploring database internals, and solving algorithmic and SQL problems on LeetCode.
Currently exploring:
- Microservices & Distributed Systems
- Database Internals & Caching
- LLM Systems, RAG, AI Agents & Automation
- System Design & Scalability
- Infrastructure & DevOps
Personal Finance Platform with AI Insights
Built using Next.js, Express.js, PostgreSQL, Prisma, Redis, BullMQ, Docker, and Google Gemini.
- Designed a layered backend architecture with authentication, transaction management, dashboard analytics, and AI-powered financial insights.
- Implemented transactional wallet balance updates, cursor-based pagination, Redis caching, rate limiting, and schema validation for production-oriented API behavior.
- Built asynchronous monthly financial review generation using BullMQ workers, PostgreSQL persistence, and structured Gemini outputs.
- Dockerized the entire development stack with isolated API, worker, PostgreSQL, and Redis services.
Cloud Storage Platform Inspired by Traditional File Systems
Built using React, Express.js, MongoDB, Mongoose, Cloudinary, and JWT Authentication.
- Designed an OS-like hierarchical file system with recursive folder management, ownership enforcement, and storage quota tracking.
- Implemented transactional metadata updates and consistency safeguards between MongoDB and Cloudinary during uploads and deletions.
- Built signed file-access, download, thumbnail, and HLS video-streaming workflows for secure media delivery.
- Developed recursive deletion and quota-accounting mechanisms while handling cross-system failure scenarios and cleanup operations.
Languages: TypeScript, JavaScript, Python, SQL, C/C++
Backend & APIs: Node.js, Express.js, FastAPI, REST APIs, GraphQL, BullMQ, Jest, Microservices, Authentication (JWT/OAuth)
Databases: PostgreSQL, MongoDB, MySQL, Redis, Prisma ORM, SQLAlchemy, Alembic
Cloud & Infrastructure: AWS (EC2, ECS, S3, ALB), Docker, Docker Compose, Nginx, GitHub Actions
Frontend: React, Next.js, Redux, Zustand, Tailwind CSS
Tools: Git, GitHub, Postman, Linux, Bash, CI/CD
AI: Generative AI, LLM Integration, RAG, Embeddings, Vector Search, pgvector, Ollama
- A Lightweight Causal Sound Separation Model for Real-Time Hearing Aid Applications — IEEE Sensors Letters
- Channel Estimation in 5G and Beyond Networks Using Deep Learning — IEEE Radioelektronika
- LinkedIn: https://linkedin.com/in/yashveer4
- Email: yashveer.rtc@gmail.com