Pavan Adabala

Full-Stack Software Engineer

Chittoor, India 4+ yrs exp 89 · Excellent

About

Full-stack software engineer who has shipped multiple production web products solo - owning frontend, backend, database design, AI/ML integration, security, deployment and maintenance. Strong with React, TypeScript and Tailwind on the frontend and Node.js/Express and Python FastAPI REST APIs with PostgreSQL on the backend. Comfortable with Docker, CI/CD, cloud deployment and writing clean, tested, maintainable code. Fast learner with a solid grounding in data structures, algorithms and system design.

Skills & Expertise (41)

React Intermediate

7.8/10

Years Exp

Typescript Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Express Intermediate

7.5/10

Years Exp

Node.js Intermediate

7.5/10

Years Exp

JavaScript Intermediate

7.5/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Postgresql Intermediate

7.0/10

Years Exp

Docker Intermediate

7.0/10

Years Exp

REST API design Intermediate

7.0/10

Years Exp

Agile Intermediate

6.5/10

Years Exp

Explainable AI Testing Pytest Jest System Design Performance Optimisation JWT Auth RBAC Rate Limiting WebSockets Schema Design Indexing LLM Prompt Engineering Code Review TensorFlow scikit-learn Vercel DNS HTTPS SSL Nginx LINUX MongoDb Supabase SQL FastAPI CSS3 HTML5 Tailwind CSS

Work Experience

Full-Stack Software Engineer (Freelance)

SkillVance Technologies

Jan 2023 - Present

Delivered the company's production web platform end-to-end - requirements, architecture, UI/UX, React frontend, backend APIs, database design, deployment and ongoing maintenance. Built REST APIs with validation, form and email workflows, and an admin content flow; optimised page performance and SEO for faster load and better discoverability. Owned production infrastructure: Docker-based deploys, Nginx, DNS, SSL/HTTPS and monitoring, keeping the site reliably online.

Software Engineering Intern (AI/ML)

Machine Learning Internship

Jan 2024 - Jan 2025

Built and evaluated Python ML models (kidney stone prediction) with data cleaning, feature engineering and metric-driven tuning. Shipped a Streamlit web app exposing the trained model through an interactive UI with real-time predictions.