AI Engineer building practical AI products, conversational systems, and backend workflows.
I'm an AI Engineer focused on building practical AI systems rather than just experimenting with models.
My work sits at the intersection of LLMs, conversational AI, backend engineering, automation, and product development.
I've worked on:
- 🤖 Production conversational AI and customer workflows
- 🧠 LLM-powered applications and AI automation
- 🔌 Backend APIs, webhooks, and third-party integrations
- 🎥 AI video generation and lip-sync pipelines
- 📊 Model benchmarking, evaluation, and fine-tuning
- 🛠️ Full-stack applications built around AI products
I enjoy the engineering around the model too — state management, APIs, retrieval, validation, fallbacks, integrations, and reliability — and turning AI capabilities into products that people can actually use.
📍 India · 🌍 Open to remote opportunities
Jul 2024 – Nov 2025
Worked on production AI systems for enterprise automotive use cases.
- Built and deployed WhatsApp conversational AI workflows for pre-sales and post-sales customer interactions.
- Integrated Airtel WhatsApp APIs for message routing, automated messaging, campaign triggers, and customer journeys.
- Developed backend APIs connecting AI workflows with internal dashboards and automation systems.
- Built AI media pipelines involving avatar generation, talking-head synthesis, masking, and lip-sync.
- Benchmarked lip-sync solutions including D-ID and Retalk, followed by fine-tuning and MOS-based evaluation.
- Integrated AI workflows with internal tools, backend services, and product systems.
- Worked with AI and product teams to translate business requirements into practical production AI workflows.
Nov 2023 – Apr 2024
- Built production mobile interfaces using React Native and Tailwind CSS.
- Implemented reusable components, state management, and API integrations.
- Worked across development, testing, and deployment of production features.
Feb 2023 – Apr 2023
- Built responsive web applications using React.js and Next.js.
- Developed reusable frontend components with a focus on maintainability and performance.
AI Customer Support Platform
An AI-powered customer support application built around persistent conversations and real-time interactions.
Stack: React · TypeScript · Node.js · PostgreSQL · Redis · OpenAI APIs
- Built LLM-powered customer conversations.
- Implemented session persistence and user state management.
- Developed backend orchestration for conversational workflows.
- Added suggested prompts and real-time interaction states.
- Implemented API integrations and error-handling flows.
AI-Powered Code Intelligence
An AI-assisted development tool for understanding, reviewing, and improving codebases.
Stack: React · Node.js · Python · Hugging Face Transformers
- Built workflows for code analysis and debugging.
- Implemented code review and optimization capabilities.
- Added security issue identification workflows.
- Built stateful AI interactions for developer workflows.
- Generated actionable recommendations from code analysis.
Automated Reddit Content & Engagement System
A Python-based system for planning Reddit content and generating persona-driven interactions.
Stack: Python · Streamlit
- Automated content planning.
- Generated persona-based posts and comments.
- Created content calendars.
- Built a Streamlit-based interface for managing workflows.
Python OpenAI Hugging Face LangChain LlamaIndex RAG Prompt Engineering Transformers
Node.js Express.js FastAPI REST APIs PostgreSQL Redis
React Next.js React Native TypeScript Tailwind CSS
PyTorch TensorFlow Scikit-learn OpenCV NumPy Pandas
FAISS Milvus Embeddings
Docker AWS GitHub Actions n8n Postman Git
- Agentic AI systems
- LLM evaluation and reliability
- Retrieval and RAG systems
- AI automation workflows
- Multimodal AI
- AI-assisted software development
A good AI demo shows what a model can do. A good AI product makes it work reliably when real users start using it.
That usually means building more than the model itself:
models + state + APIs + data + retrieval + validation + fallbacks + monitoring + product UX
That's the part of AI engineering I enjoy most.
- Postman API Fundamentals Student Expert
- JPMorgan Chase & Co. — Software Engineering Virtual Experience
- TCS NQT Cognitive — 1268 / 1800
- Headstarter AI Fellow
I'm interested in working on AI products, LLM applications, conversational AI, automation, and backend systems.