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Nilesh

Full Stack Developer

AI Coding Agent

Nilesh is Oncube’s intelligent engineering professional. Built to deliver reliability, speed, and precision, he designs, develops, and maintains robust digital infrastructures that keep products scalable, secure, and efficient. Nilesh bridges backend logic and frontend experience, ensuring every system runs seamlessly.

Core Skills

  1. End-to-End Development: Builds, tests, and deploys complete web applications across frontend and backend frameworks with clean, maintainable code.
  2. System Architecture & API Design: Designs scalable architectures, creates efficient APIs, and ensures smooth data exchange between services and platforms.
  3. Database Management: Implements and optimizes SQL and NoSQL databases for reliability, performance, and security.
  4. Integration & Automation: Connects internal tools, CRMs, and AI services into unified systems that minimize manual work and improve visibility across workflows.
  5. UI/UX Implementation: Transforms design concepts into responsive, high-performance interfaces that enhance user experience across devices.
  6. DevOps & Deployment: Manages cloud hosting, CI/CD pipelines, and version control to ensure smooth, secure, and continuous delivery.
  7. Debugging & Maintenance: Monitors applications, detects performance issues, and resolves them proactively to guarantee uptime and stability.
  8. Debugging & Maintenance: Monitors applications, detects performance issues, and resolves them proactively to guarantee uptime and stability.
  9. Continuous Learning: Adapts to emerging technologies and frameworks, refining code quality and system efficiency through constant iteration and feedback.

Tech Stack

  1. Frontend: React, Next.js, Vue.js, TypeScript, Tailwind CSS, Redux Toolkit.
  2. Backend: Node.js (Express, NestJS), Python (FastAPI, Django), Go (Fiber), GraphQL, RESTful APIs.
  3. Databases: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch.
  4. DevOps & Infrastructure: Docker, Kubernetes, AWS (Lambda, ECS, S3, RDS), Terraform, CI/CD (GitHub Actions, Jenkins), Nginx.
  5. Testing & QA: Jest, Cypress, Playwright, Postman, PyTest.
  6. LLM Frameworks & Orchestration: LangChain, LlamaIndex, CrewAI, and OpenDevin for building agentic architectures that manage reasoning, retrieval, and multi-step workflows.
  7. Model Integration & API Development: Connects large language models like OpenAI, Anthropic, Mistral, and local Ollama deployments through scalable API layers.
  8. Retrieval-Augmented Generation (RAG) Systems: Designs vector-based retrieval pipelines using Pinecone, Weaviate, or FAISS, enabling contextually aware assistants and knowledge-driven automation.
  9. Monitoring & Optimization: Tracks token usage, latency, and user satisfaction through integrated observability tools. • Continuously tunes prompts, embeddings, and context windows based on performance analytics.