11/03/2026 updated


100 % available
AI Engineering | Backend Systems | Full-Stack Development
Lucknow, India
Worldwide
B.Sc. Computer Science (Expected 2029) - BITS Pilani, CGPA: 8.2/10About me
I'm a software engineer focused on building scalable web applications, backend systems, and AI-powered solutions. I work with React, Next.js, Python, FastAPI, and LLMs, turning ideas into reliable, production-ready products with a focus on performance and clean architecture.
AI AgentsLLMOllamaApplication Programming Interfaces (APIs)Artificial IntelligenceAndroid Software DevelopmentLAMP StackCloud EngineeringDevOpsPython (Programming Language)Messaging Application Programming InterfaceNode.jsOpenStackBlockchainNext.js
AI Engineering & LLM Infrastructure
Experienced in local LLM inference, quantized models, llama.cpp, Qwen, model abstraction, and LLM API integration. Built FastAPI inference services for locally hosted models and offline AI debugging workflows, focusing on performance and reliability.
Backend Engineering & APIs
Strong expertise in Python, FastAPI, Node.js, and Express.js. Experienced in REST APIs, WebSockets, asynchronous services, scalable backend architectures, and AI-enabled SaaS infrastructure. Systems development using Rust, Axum, and Tokio.
Full-Stack Development
Build end-to-end applications using React, Next.js, Redux, and Tailwind CSS. Experienced in responsive UI development, frontend-backend integration, API development, and deploying production-ready applications.
Programming Languages
Proficient in Python, TypeScript, JavaScript, Rust, Java, and SQL across AI engineering, web development, systems programming, and backend infrastructure.
Database & Data Infrastructure
Experience with PostgreSQL, MongoDB, MySQL, Redis, and pgvector. Skilled in relational modeling, schema design, vector search, and RAG architectures for AI applications.
Testing, DevOps & Infrastructure
Hands-on experience with pytest, mock-based testing, Git, GitHub, Docker, Linux, and Vercel. Implemented mock-model fixtures and automated tests enabling CI execution without downloading large model weights.
Distributed Systems & Blockchain
Built a CRDT-based distributed relational database in Rust featuring Multi-Value Registers, Hybrid Logical Clocks, conflict-free operations, and peer replication using Axum and Tokio. Developed Solidity-based smart contract escrow workflows for milestone-driven collaboration.
Agentic AI & Workflow Automation
Develop AI agents for customer support, lead qualification, appointment scheduling, and automated follow-ups. Experienced in integrating LLMs with messaging platforms, calendars, and business systems to automate operations.
Frontend Performance Optimization
Improved page-load performance by 37% through profiling, rendering optimization, and responsive component architecture using React, Next.js, and Tailwind CSS.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishNative speaker
Project history
Building an AI automation business focused on practical AI agents and digital systems for service businesses, including conversational front-desk workflows for clinics. Designing agent workflows for customer enquiries, lead capture, appointment coordination, and business follow-ups. Developing the product and delivery stack end to end, spanning onboarding, agent configuration, subscription operations, usage visibility, and customer-facing web experiences.
Built a FastAPI service for serving a local quantized LLM behind a model-abstraction layer, allowing inference backends to be swapped without changing application call sites. Added pytest coverage with mock-model fixtures so core behavior can be tested in CI without downloading model weights. Technologies: Python, FastAPI, llama-cpp-python, Qwen3, pytest.
Built an offline code-analysis workflow that diagnoses execution errors and proposes refactors using local inference, without requiring external model API calls. Technologies: TypeScript, Local LLM Pipeline.