Varun Sai

Hyderabad, Telangana, India

Profile Score

About

Full Stack Developer with strong expertise in MERN stack and Java, experienced in building scalable, secure, and high-performance web applications. I have hands-on experience designing RESTful APIs, optimizing databases, and delivering end-to-end solutions in agile development environments. I have worked on real-world applications involving property management systems, emergency response platforms, and data validation engines, where I focused on performance optimization, secure authentication, and clean system design. My projects demonstrate a strong command of React, Node.js, MongoDB, SQL, and cloud-ready architectures. Alongside full-stack development, I have a strong academic and practical background in Artificial Intelligence and Machine Learning, with experience in applying ML algorithms to malware detection, predictive systems, and intelligent decision-making. I am particularly interested in integrating AI-driven insights into modern web applications to enhance automation, reliability, and user experience. I am a continuous learner and competitive programmer, actively strengthening my problem-solving skills through platforms like LeetCode, CodeChef, and Codeforces. I am seeking opportunities where I can contribute to impactful software solutions while continuing to grow as a full-stack and AI-driven engineer.

Skills & Expertise (31)

JavaScript Intermediate

7.4/10

Years Exp

Python Intermediate

7.0/10

Years Exp

Typescript Intermediate

6.9/10

Years Exp

AWS Intermediate

6.8/10

Years Exp

Docker Intermediate

6.6/10

Years Exp

DBMS Continuous Learner OS OOPs SDLC Agile Scrum Team Collaboration Analytical Thinking Problem-solving Adaptability Time management Java DAA AI & ML Postgresql SQL MongoDb Vercel API testing tools VS Code Bitbucket GitHub Actions GitHub Git Next.js

Work Experience

Software Developer

Raiqa Health

Sep 2025 - Oct 2025

Built responsive and scalable UI using React.js and Tailwind CSS, ensuring consistent cross-device behavior during UAT. Automated end-to-end workflow validation with Selenium and Cucumber.js, ensuring accurate patient–practitioner data mapping. Performed daily E2E regression, and manual testing LLM to improve reliability and conversational accuracy of the AI receptionist.

Software Development Engineer (SDE) Summer Intern

Teleparadigm Networks

Oct 2024 - Dec 2024

Developed a full-stack real estate platform enabling property listings, advanced search, individual workflows for buyers, sellers, agents. Integrated location- and price-based dynamic filtering, reducing property discovery time and improving search efficiency by 30%. Designed RESTful APIs using Node.js and Express.js to manage user profiles and listings, increasing data processing efficiency by 25%. Established secure authentication using OAuth-based login, password hashing, and session management, boosting account security. Refactored MongoDB schemas and optimized queries, reducing backend response latency by 35% during application testing. Architected a rule-based validation with interactive dashboards, result-in real-time data quality monitoring, faster issue resolution. Pioneered 25+ rule-based data validations, improving dataset accuracy by 15% and reducing data-related incident tickets by 20%.

Education

Bachelors of Engineering (B.E) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Neil Gogte Institute of Technology, Osmania University

2021 - 2025 · Afghanistan

Intermediate - Sri Chaitanya Junior College

2019 - 2021 · Afghanistan