Shriyash Sharma · Senior Software Engineer · AI Engineering
Building scalable systems with modern web architecture, AI-assisted workflows, and practical backend infrastructure.
I'm Shriyash Sharma, a Senior Software Engineer building scalable frontend and full-stack systems focused on modern web architecture, operational platforms, and practical AI integration. My recent work includes Next.js applications, FastAPI backend services, semantic search, PostgreSQL with pgvector, RAG pipelines, and AI-powered workflows for real-world use cases.
Editorial anchor
Systems-minded engineering, delivered with product judgment.
Projects
Representative systems work, written as real engineering briefs: constraints, decisions, runtime behavior, and the tradeoffs that shaped each build.
Most developer portfolios are just a static site with a few cards and a contact form. I wanted mine to actually show how I build software end-to-end. So instead of hardcoding the projects, I built a full content platform behind it. The same backend serves the public pages, the dashboard where I write content, and the AI chat. Everything — projects, case studies, articles, architecture notes, experiments, research logs — lives in one shared table and goes through one pipeline. I can write in Markdown, hit publish, and the public page updates on its own through ISR. The AI assistant is grounded on my own content only. It reads my writeups, breaks them into chunks, stores embeddings, and uses RAG to answer. So when someone asks "what did he use for auth in this project", it actually pulls the answer from my notes, not from training data.
A lead-generation and service platform built for a Pune-based security systems provider. The platform showcases CCTV, home automation, biometric, access control, and fire safety services while supporting SEO-driven customer acquisition, online inquiries, and site-survey bookings.
TeamShastra is a mobile-first workforce and field operations platform for small and medium service businesses. It brings attendance, work orders, customers, team management, and field reporting into one offline-first Flutter app, backed by a FastAPI and Postgres service. Currently in the polishing phase before pilot rollout.
Case Studies
Engineering-focused writeups about architecture choices, delivery tradeoffs, integration boundaries, and the practical constraints behind the systems on this platform.
Ask anything about this portfolio
A retrieval-augmented assistant grounded in indexed projects, case studies, architecture notes, and articles. Powered by FastAPI, pgvector, OpenAI embeddings, and Groq inference. Explore the RAG pipeline interactively.
Portfolio AI guide
Ask about projects, architecture, RAG, or engineering decisions.
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Full-stack engineering, from modern web architecture to applied AI
I build across the full stack, combining modern frontend architecture with robust backend systems and applied AI. My core stack is Next.js, React, and TypeScript on the frontend, with FastAPI and Python powering backend services and APIs. I design data layers on PostgreSQL, build semantic search and Retrieval-Augmented Generation (RAG) pipelines, and focus on system design that scales.
Frontend Engineering
Production interfaces built with Next.js, React, and TypeScript — accessible, fast, and designed for real product constraints.
Backend & APIs
Reliable services and data layers using FastAPI and Python, backed by PostgreSQL and pragmatic system design.
AI Engineering
Retrieval-Augmented Generation (RAG) pipelines, embeddings, and semantic search that keep AI features grounded and accurate.
System Design & Full-Stack
End-to-end ownership across the stack — from architecture and APIs to deployment — focused on systems that scale.
Open to senior engineering roles and consulting collaborations.
I am most useful where product work and engineering depth meet: frontend architecture, platform-quality UI systems, full-stack coordination, and AI-assisted product workflows that need to stay grounded in real delivery constraints.