Software Engineer with 1+ years in Generative AI & Backend Development
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Software Developer with experience in Generative AI and scalable backend systems, RAG pipelines, LLM-powered applications, and multi-agent workflows. Proficient in Python backend development including Django and API-driven architectures, improving system performance and efficiency.
KLE Technological University
Bachelor of Engineering · Computer Science
August 1, 2019 – June 30, 2023
Bosch Global Software Technologies
Software Developer
February 1, 2025 – February 1, 2026
India
Samsung PRISM
Student Intern (Trainee)
October 1, 2021 – June 1, 2022
India
AI based Recruitment Intelligence System
June 24, 2026 – Present
Built an AI-driven recruitment intelligence system leveraging embeddings and semantic similarity to match candidate profiles with job descriptions. Developed NLP pipelines to extract structured entities (skills, experience, education) from unstructured resumes and designed a hybrid scoring model to predict candidate-job compatibility. Integrated AI techniques to generate insights on skill gaps and strengths improving transparency in candidate evaluation. Enabled more accurate candidate-job matching compared to keyword-based approaches by leveraging semantic similarity and structured feature extraction.
E-Commerce Platform (Django-based Application)
June 24, 2026 – Present
Developed a full-stack e-commerce platform using Django and modern web technologies, enabling seamless product browsing and order management. Implemented secure authentication, shopping cart, and session handling with a focus on scalable backend design, improving user flow efficiency. Applied modular architecture and optimized database interactions using MySQL, improving overall performance.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-driven recruitment to e-commerce, indicates a broad interest in applying technical skills to different domains. Their experience with Generative AI and backend systems aligns well with a modern software engineering role. The mention of Agile practices in skills suggests an understanding of contemporary development methodologies. The candidate's academic background and internship at Samsung, followed by a role at Bosch, show a consistent career trajectory in software development and AI.
Soft Skills & Operational Fit
The candidate demonstrates structured problem-solving and algorithmic thinking from their internship. Their project descriptions indicate an ability to work on complex systems and improve existing processes. The experience at Bosch suggests an operational fit for roles requiring performance optimization and AI solution deployment. However, direct evidence of team collaboration or stress handling is limited to project descriptions and internship documentation.