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Software Engineer with less than a year in Python, React, and Machine Learning.
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Assessing your cultural and operational fit
Detail-oriented Software Engineer with hands-on experience across the full SDLC. Proficient in Python, SQL, React, HTML, CSS, and JavaScript. Experienced in full-stack web applications and ML-integrated systems. Familiar with REST API development, database management, and structured testing. Eager to expand into Generative AI, RAG pipelines, and agentic AI workflows. Comfortable in Agile/Scrum environments.
SDM Institute of Technology (VTU)
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
SDM PU College
HSC · Maths, Physics, Chemistry
June 1, 2020 – May 31, 2022
Inventeron Technologies
Trainee Software Engineer Intern
February 1, 2026 – May 31, 2026
India
Trip Planner Web Application
February 1, 2026 – May 31, 2026
• Developed a full-stack Trip Planner app for managing travel plans, destinations, and bookings with MySQL schema design. • Integrated REST APIs for data retrieval and submission; collaborated across the full SDLC from requirements through deployment.
Text-to-Speech Converter
November 1, 2025 – June 1, 2026
• Developed a TTS web app using Web Audio API with playback controls, input validation (edge cases, 1000+ chars, special characters), and JSON API integration.
Crop Insight - Full-Stack ML Web Application
January 1, 2025 – June 1, 2026
• Built a full-stack app integrating an ML model for crop prediction; developed responsive UI, REST API, and MySQL database schema. • Implemented end-to-end data flow from frontend inputs through backend Python to ML inference with cross-browser compatibility testing.
Database and SQL
Infosys Springboard
November 1, 2024 – Present
Full-Stack Web Development
Infosys Springboard
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including a professional Trip Planner app, a personal Crop Insight ML app, and a Text-to-Speech converter, shows initiative and a broad interest in different application domains. The stated eagerness to expand into Generative AI, RAG pipelines, and agentic AI workflows indicates a growth mindset and alignment with innovative technical environments. The candidate's education and certifications, though still in progress, demonstrate a commitment to continuous learning. However, the experience level is very junior (internship), which might require significant mentorship and ramp-up time in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates participation in all SDLC/STLC phases, including requirements review, design walkthroughs, sprint planning, test execution, and defect resolution, which indicates a structured approach to development. Involvement in debugging and issue resolution across frontend and backend layers, along with active participation in deployment pipelines, suggests a proactive and problem-solving mindset. The professional summary highlights being 'detail-oriented' and 'comfortable in Agile/Scrum environments', which aligns with operational efficiency and team collaboration.