
Sahil Kriplani
Software Engineer · Full Stack Developer
Full-stack engineer who ships production SaaS — React, Next.js and TypeScript on the front, Node and Python on the back. I turn ambiguous problems into shipped features: AI-powered OCR pipelines, real-time dashboards, and APIs built to scale. Currently building at TechRays Labs, and always architecting the next thing.
Engineer who ships, not just writes code
Full-stack engineer who ships production SaaS — React, Next.js and TypeScript on the front, Node and Python on the back. I turn ambiguous problems into shipped features: AI-powered OCR pipelines, real-time dashboards, and APIs built to scale. Currently building at TechRays Labs, and always architecting the next thing.
I care about the boring parts that make products real: query indexing that cuts latency, CI/CD that ships without downtime, and tests that let you refactor without fear. Outside of work I'm deep in DSA, system design, and building my own products.
Currently
TechRays Labs Pvt. Ltd.
Focus
Full-stack SaaS · AI workflows
Education
B.Tech in Computer Science Engineering
Based in
Ahmedabad, India
OCR extraction accuracy
API latency reduced
Faster page loads
Integrations shipped
End-to-end engineering, built to ship
From the first wireframe to the production deploy, I work across the whole stack — turning ambiguous ideas into products that scale and stay maintainable.
Full-Stack Product Engineering
Designing and shipping production SaaS end-to-end — React/Next.js front ends wired to typed APIs, with the polish users feel and the architecture teams can maintain.
- React, Next.js & TypeScript UIs with reusable design systems
- Server components, code-splitting & memoisation for speed
- Accessible, responsive interfaces that ship fast
Backend & APIs
RESTful microservices and data layers built to scale — auth, integrations, and the unglamorous reliability work that keeps products up.
- Node.js / Express & Python / FastAPI services
- JWT / OAuth2 auth across 5+ third-party integrations
- PostgreSQL & MongoDB schema design and query optimisation
AI-Powered Features
Turning models into product — OCR pipelines, RAG assistants and AI workflows wired into real user flows, not demos.
- OCR extraction pipelines (~92% field accuracy)
- RAG over vector DBs with grounded, cited answers
- LLM features wired into production UX
DevOps & Deployment
Ship continuously and sleep at night — Dockerised CI/CD, cloud infra and zero-downtime releases.
- AWS (EC2, S3, RDS) & Azure deployments
- Dockerised GitHub Actions CI/CD pipelines
- Nginx, monitoring & zero-downtime releases
The stack I build and ship with
Tools I reach for daily — and the ones I'm actively leveling up. Hover any row to pause it.
Frontend
Backend
Databases
DevOps & Cloud
Currently Learning
Things I'm building
A growing suite of products — from a personal productivity OS to real-time and AI systems. Some are live, the rest are inbound.
LifeOS — Operating System for Self
In ProgressA single command center for your life. It unifies habits, goals, health, finances and learning into one signal, then turns that signal into AI weekly reviews that surface what actually moved the needle — so you optimise yourself like you'd optimise a product.
SyncRoom
Coming SoonReal-time collaboration engine — Google Docs / Notion style. Live cursors, presence, commenting and conflict resolution over WebSockets.
Quantum Queue
Coming SoonDistributed job-processing engine for background workflows — email sending, image and video jobs — with retry logic and a monitoring dashboard.
Echo AI
Coming SoonAI knowledge assistant for companies — upload docs, get grounded answers. RAG over a vector DB with a chat UI and admin dashboard.
Nexus Commerce Engine
Coming SoonEvent-driven mini-commerce backend — order pipeline, inventory updates and notifications via an internal event bus, microservices-style.
Professional Work
Production systems shipped at TechRays Labs. Code is under NDA, so these are described rather than linked.
AI-Based Invoicing & Billing Platform
LiveEnd-to-end multi-tenant SaaS invoicing platform. OCR-based AI extraction auto-populates invoice fields (~92% accuracy), cutting generation time from ~8 min to under 30s. Normalised PostgreSQL schema with RBAC and real-time financial dashboards.
AI-Powered Social Media Automation Tool
LiveContent automation platform with AI post generation and cross-platform scheduling (~60% less manual effort). Real-time engagement tracking over WebSockets, Redis-cached data pipelines cutting dashboard load ~50%.
Experience & Education
Programmer Analyst — Full Stack Engineer
Dec 2024 — PresentTechRays Labs Pvt. Ltd. · Ahmedabad, India
- Shipped the invoicing module from zero to production within 3 months of joining — used daily by finance teams.
- Built full-stack SaaS features (React, Next.js, TypeScript), improving page-load performance ~30% via code-splitting and memoisation.
- Designed RESTful microservices (Node.js, Express) with JWT/OAuth2 auth across 5+ third-party integrations.
- Optimised PostgreSQL & MongoDB schemas and indexing — cut average API latency ~40% under peak load.
- Deployed on AWS (EC2, S3, RDS) and Azure with Dockerised CI/CD (GitHub Actions) for zero-downtime releases.
B.Tech in Computer Science Engineering (AI / ML)
2021 — 2025ITM (SLS) Baroda University
Let's connect
Building something interesting, hiring, or just want to talk shop? Drop a line — I read every message.