02
A backend-first reading platform with accounts, reading lists, reviews and administrative workflows.
Node.jsExpressPostgreSQLRedis
Project profile
Backend platform
API design · Security · Data modelling
PORTFOLIO / 2026OPEN TO SOFTWARE ENGINEERING OPPORTUNITIES
YASWANTH SAI REDDY K / SOFTWARE ENGINEER
I build software
that works
end to end.
Full-stack products, backend systems, AI-assisted developer tooling and applied machine learning — built with product judgement and production-minded engineering.
FULL STACKBACKENDAI SYSTEMSAPPLIED ML
01 / Featured project2026
Revenue intelligence / hospitality
Averlen
Revenue intelligence for hospitality teams — bringing booking ingestion, analytics, pricing and AI-assisted insight into one multi-tenant product.
Designed and built end to end across product UI, backend APIs, tenant boundaries, analytics workflows, caching and pricing logic.
Development stack
- FastAPI
- PostgreSQL
- Redis
- React + TypeScript
- SQLModel / Alembic
- Docker
02 / Selected projects
Built across
the stack.
Backend systems, full-stack products and applied machine learning — selected projects spanning APIs, data, product interfaces and computer vision.
05 projects
03
A computer-vision workflow using Faster R-CNN for object localisation and classification.
PyTorchFaster R-CNNTorchMetricsPython
Project profile
Applied machine learning
Model training · Evaluation
04
A responsive compliance workspace for clients, tasks, deadlines, filtering and lightweight analytics.
ReactNode.jsExpressTailwind
Project profile
Full-stack application
Product engineering
05
An executive-style finance workspace for overview metrics, transactions, insights and role-aware views.
ReactViteTailwindRecharts
Project profile
Frontend product UI
Frontend engineering
06
A private bookmark manager with Google OAuth, Supabase Row Level Security and real-time cross-tab updates.
Next.jsSupabasePostgreSQLOAuth
Project profile
Next.js application
Full-stack product engineering
02 / EXPERIENCE
Experience
NOV 2025 — PRESENT
Software Engineer
Searce · formerly Cloudside Technologies
- Build and maintain backend and full-stack product features across Python, Node.js and React.
- Work with API authentication, permissions, caching, validation, debugging and production-oriented testing.
- Contributed to an internal context-aware PR review workflow using specialist review stages and a validation layer.
PythonFastAPINode.jsReactPostgreSQLRedis
JAN 2025 — APR 2025
Full-Stack Intern
Rveiya Dynamics
- Worked on frontend pages, database-backed application flows and authentication fundamentals.
- Completed assigned full-stack development tasks with an emphasis on connecting interface and data layers.
JavaScriptFrontendDatabaseAuthentication
JUN 2024 — JUL 2024
Java Development Intern
Coding Raja Technologies
- Built Java projects around online banking and library-management workflows.
- Practised object-oriented design, application logic and structured data handling.
JavaOOPApplication Logic
03 / EDUCATION
Education
2021 — 2025
B.Tech · Electronics & Communication Engineering
Sri Venkateswara College of Engineering · JNTU
CGPA 9.02 / 10
04 / Capabilities
A practical engineering toolkit built through products, backend systems and applied AI work.
What I work with.
My work spans backend systems, product interfaces, data and AI, with each layer designed to work together as part of one complete product.
01Capability
Backend systems
APIs, authentication, validation and service boundaries designed around real application behaviour.
PythonFastAPINode.jsExpressRESTJWTRBAC
Applied through
Authentication · Validation · Rate Limiting · Testing
02Capability
Product interfaces
Responsive product surfaces connected closely to the workflows, APIs and data behind them.
ReactNext.jsTypeScriptTailwindZustand
Applied through
Responsive UI · API Integration · State Management
03Capability
Data & infrastructure
Structured data, caching and application infrastructure shaped around how the product actually operates.
PostgreSQLRedisMongoDBPandasDockerAlembic
Applied through
Data Modelling · Caching · Migrations · Analytics · Ingestion
04Capability
AI & applied ML
AI-assisted features and applied machine learning with validation and engineering checks around model output.
LLM APIsAgentsPyTorchFaster R-CNNEvaluation
Applied through
Structured Outputs · Validation · Evaluation · Computer Vision
HOW I BUILD
Fast iteration.
Clear reasoning.
01Understand
Clarify the problem, users and failure cases.
02Design
Choose boundaries, data flow and trade-offs.
03Build
Implement the smallest reliable surface.
04Verify
Test assumptions, behaviour and edge cases.
05Ship
Observe the result and improve from evidence.
05 / CONTACT
Have a role,
project or
idea?
Send a message here. If it's a good fit, I'll get back to you using the email you provide.