Shelabh Tyagi
@shelabhtyagi
Full-Stack AI Engineer building React-to-LLM systems with fast, high-ownership product delivery.
What I'm looking for
I’m a Full-Stack AI Engineer focused on building production web products and AI-powered systems across frontend, backend, and LLM workflows.
Over the last few years, I’ve worked across SaaS and AI products, building with React, TypeScript, Python, FastAPI, PostgreSQL, and modern AI tooling. My recent work includes shipping frontend experiences for Abacus.AI’s product surfaces and DeepAgent free-tier flows, building analytics and AI-assisted product modules at LeapX.ai, and developing production-oriented RAG and multi-agent systems independently.
I’m strongest at the intersection of:
- AI product engineering
- Frontend architecture and UX for complex workflows
- Backend/API integrations
- LLM, retrieval, and vector-search-based applications
Key technologies I work with include React, TypeScript, Tailwind CSS, Python, FastAPI, PostgreSQL, Redis, OpenAI API, LangChain, LangGraph, Pinecone, FAISS, and pgvector.
I’m currently exploring Full-Stack AI Engineer and Frontend AI Engineer roles with strong product ownership, especially in AI product companies and remote-friendly teams.
Experience
Work history, roles, and key accomplishments
Software Engineer
Abacus.AI
Nov 2025 - Mar 2026 (4 months)
Owned frontend development across Abacus.AI’s company website and DeepAgent free-tier experience, translating AI capabilities into clear, user-focused flows. Led a 4-month redesign to improve layout structure, navigation clarity, usability, and shipped responsive product interfaces using React and TypeScript.
Software Engineer
LeapX.AI
Nov 2024 - Nov 2025 (1 year)
Developed and maintained 6+ frontend modules (analytics dashboards, lead tracking panels, report editors) used by 500+ users. Built an AI-supported live chat experience cutting average query resolution time by ~40%, delivered 20+ Plotly-based charts, and improved frontend API efficiency by ~35% through integration of 50+ REST/GraphQL endpoints.
Software Engineer
Wedme.AI
Jun 2024 - Nov 2024 (5 months)
Created and preserved 10+ mobile-responsive interfaces for an AI-powered wedding platform serving couples and vendors across the U.S. Improved mobile retention by ~50% via Next.js and Tailwind CSS performance optimizations, integrated booking and live event tools, and maintained a 90%+ feature delivery success rate across agile sprints.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Artificial Intelligence and Machine Learning
Completed coursework in Artificial Intelligence and Machine Learning at Chandigarh University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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