Open to freelance, remote & hybrid roles
Hi, I'm Ruchitha
Full-stack engineer building AI systems, Web3 platforms & scalable SaaS.
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2+Years Building
6+Projects Shipped
4xHackathons Won
1Patents Filed

About

Backend-focused AI Engineer specializing in architecting scalable distributed systems and production-grade AI platforms. Experienced in building high-performance APIs, agentic workflows, and data-intensive applications using Node.js, NestJS, Go, and FastAPI. Passionate about system design, rapid product execution, and taking intelligent systems from concept to production at scale.

Skilled in leveraging Artificial Intelligence, Machine Learning, and Generative AI alongside modern DevOps and MLOps practices to deliver reliable, high-performance software systems. I thrive on designing robust architectures, optimizing for scalability and performance, and shipping products that solve real-world problems.

Driven by a long-term vision of evolving into Technical AI Product Leadership, I combine deep engineering expertise with product strategy to build impactful AI-powered products. My goal is to bridge technical excellence and product innovation, delivering intelligent systems that make a difference.

Work Experience

M

Metaverse Ventures (M0)
Full-Time

June 2025 - Present
AI Fullstack Developer
• Led end-to-end architecture and delivery of 3+ products — embedding LLMs and agentic workflows into Web3 platforms, targeting <200ms API response times and 99.9% uptime across services. • Integrated 45+ AI models (image, video, audio, 3D) with async agentic pipelines — designed for high throughput, fault tolerance, and horizontal scalability under concurrent generation load. • Engineered backend systems (NestJS, FastAPI, Redis, Prisma) with job queue isolation, rate limiting, and cache layering — reducing redundant compute and improving system responsiveness under peak load. • Architected Web3 auth and multi-chain payment flows (Phantom, MetaMask, Solana, Ethereum) with idempotent transaction handling and retry logic for consistency under network failures. • Owned NFR definition across products — availability, fault isolation, data consistency, and graceful degradation — collaborating cross-functionally to align architecture with product delivery goals.
G

GatiNow
Freelance

Dec 2025 - Present
Full Stack Developer
• Architected a multi-tenant scheduling SaaS with tier-based plans (Free, Pro, Founding, Business) — implementing feature-level access control, tenant isolation, and horizontally scalable backend APIs. • Built a timezone-aware availability and booking engine with buffer time, minimum notice periods, max bookings/day limits, approval workflows, and double-booking prevention across concurrent requests. • Integrated multi-provider payments (Stripe, PayPal, Razorpay), calendar sync (Google, Outlook, Zoho — 1-way & 2-way), and meeting tools (Google Meet, Zoom, MS Teams) within a unified workflow layer. • Delivered advanced SaaS features — custom booking questions, analytics/reporting, marketplace listing, webhooks, event workflow automation, and public API access for third-party integrations.
T

TipTap
Internship

Sep 2024 - May 2025
Software Developer Intern
• Built backend services supporting real-time collaborative editing — handling concurrent document sessions with WebSocket-based sync and conflict resolution for consistent multi-user state. • Engineered a MongoDB portal with RBAC, load balancing, and automated schema validation — accelerated developer onboarding by 30% and enforced access control at scale. • Implemented OAuth2 SSO infrastructure with token refresh and session management — secured auth flows for 5,000+ daily active users with zero downtime. • Tech Stack: Node.js, TypeScript, MongoDB, Docker, REST APIs, OAuth2.

Skills

TypeScript
JavaScript
Python
Go
Java
Node.js
NestJS
FastAPI
REST APIs
gRPC
Backend Architecture
Prisma
Redis
OAuth2
JWT
Distributed Systems
System Design
Scalability Engineering
High Performance Systems
Concurrency
Agentic AI
LangChain
LangGraph
RAG Architecture
LLM Engineering
Hugging Face
Transformers
Machine Learning
Deep Learning
PyTorch
TensorFlow
Scikit-learn
NLP
PostgreSQL
MongoDB
Supabase
Firebase
Vector Databases
Docker
Kubernetes
CI/CD
AWS
Vercel
NGINX
Model Evaluation
Model Deployment
Data Pipelines

Education

A

Anurag University, Hyderabad

2021 - 2025
B.Tech in AI & Machine Learning (CSE)
Writing

Thoughts & Deep Dives

Writing about AI systems, backend architecture, and lessons from building in production.

Building Agentic AI Systems That Actually Work in Production

Lessons learned architecting multi-agent workflows with LangGraph — from memory management to reliable tool use.

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RAG Architecture: The Pitfalls Nobody Talks About

Why naive retrieval-augmented generation fails in production and how to design a RAG pipeline that actually stays accurate.

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Essays on AI systems, backend engineering & building in public.

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