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Software Engineer with 1+ years in MERN stack & AI Agent Systems
Software Engineer with hands-on experience designing and building scalable full-stack applications and automated test systems using the MERN stack. Builder mindset with deep curiosity about AI agent systems and LLM-driven workflows shipped a GPT-40-powered tool with structured prompt orchestration that cut manual test-writing effort by 80%. Proficient in object-oriented design, data structures, and algorithms, with 400+ LeetCode problems solved and a 3 CodeChef rating (peak 1608). Designed 30+ production REST API endpoints and reduced regression cycle time by 40% through E2E automation. Computer Science graduate with a CGPA of 9.01/10.
Vignan's Institute of Information Technology
B.Tech · Computer Science and Engineering
November 1, 2021 – May 1, 2025
Inncircles Technologies Pvt. Ltd.
Software Engineer
November 1, 2025 – Present
Hyderābād, Telangana, India
Inncircles Technologies Pvt. Ltd.
Software Engineer Intern
May 1, 2025 – October 1, 2025
Hyderābād, Telangana, India
AI Test Case Generator (LLM Agent Tool)
January 1, 2026 – Present
Problem: QA teams spent 2-3 hrs/sprint manually writing inconsistent test cases, causing coverage gaps and delayed releases; built a full-stack tool with an LLM agent (GPT-40) at its core not a bolt-on that generates structured positive, negative, and edge-case scenarios in under 3 seconds, cutting effort by 80%. Problem: GPT-40's freeform output produced unusable, inconsistent cases; engineered a strict JSON prompt-orchestration schema (Test ID, Title, Preconditions, Steps, Expected Result), eliminating unstructured output across 200+ test cases. Shipped JWT auth, REST APIs, MongoDB history, and Excel export via ExcelJS; deployed with CI/CD via GitHub Actions, owning the system end-to-end from architecture to release.
MERN Blog Application
January 1, 2026 – Present
Built a scalable blog platform with JWT authentication, full CRUD REST APIs, and cloud deployment on Netlify/Render; achieved sub-200ms average API response time under 50 concurrent users. Applied modular Express routing and Mongoose schemas with indexed queries, reducing average DB query time by 25% and simplifying future schema evolution.
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Unknown
June 1, 2026 – Present
JavaScript
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June 1, 2026 – Present
SQL
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June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI-driven tool and a MERN blog, shows initiative and a broad interest in modern technologies. Their competitive programming background and academic achievements indicate a drive for continuous learning and excellence. The experience in a startup environment (Inncircles Technologies) suggests adaptability and a willingness to take on diverse responsibilities, aligning well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate demonstrates a builder mindset, problem-solving orientation, and a proactive approach to improving system reliability and efficiency. Their experience in pair-debugging and defect resolution indicates good collaboration and attention to quality. The ability to own systems end-to-end from architecture to release suggests strong operational fit.