SAI HARSHITHA MANDAPALLI
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
Unknown
June 1, 2026 – Present
SQL
Unknown
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.