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Software Engineer with less than a year in Backend Development & AI Systems
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Highly motivated Software Engineer with experience in designing and implementing scalable backend systems and AI pipelines. Proficient in integrating complex APIs, optimizing data workflows, and deploying multimodal retrieval systems on Kubernetes. Skilled in Python, Java, and modern development practices, with a strong focus on building efficient, performant, and observable applications.
Indian Institute of Information Technology Nagpur
Bachelor of Technology · Electronics and Communication Engineering
November 1, 2022 – May 1, 2026
Trip Factory
Backend Intern
January 1, 2026 – Present
Noida, Uttar Pradesh, India
Ericsson
Software Engineering Intern
June 1, 2025 – December 1, 2025
Gurgaon, Haryana, India
AI-based Interview Analyzer
June 27, 2026 – Present
Built a full-stack AI interview feedback system using Django backend and custom HTML/CSS/JS frontend with secure authentication and session handling. Integrated OpenRouter's openai/gpt-3.5-turbo for question generation and AI-based evaluation of spoken answers. Implemented audio transcription and analysis via Hugging Face openai/whisper-tiny, performing semantic and linguistic feedback scoring. Added a resume-driven interview feature using Mistral-7B LLM to parse resumes and generate role-specific questions based on extracted skills.
View ProjectHospital Management Application
June 27, 2026 – Present
Developed a full-stack hospital management system using Flutter frontend and Spring Boot backend with PostgreSQL for persistent data storage. Designed and integrated RESTful APIs for user, inventory, and appointment management, following MVC architecture to enable full CRUD operations. Implemented an AI-powered Health Chatbot using LangChain, Pinecone, and NLP for automated responses, intelligent search, and appointment scheduling.
View ProjectSolved 200+ problems on LeetCode
LeetCode
June 1, 2026 – Present
Solved 200+ problems on GeeksforGeeks
GeeksforGeeks
June 1, 2026 – Present
Built and deployed a RAG Pipeline to retrieve relevant chunks from documents
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML and full-stack development, aligning well with innovative and technically challenging environments. Their internship experiences at Ericsson and Trip Factory show exposure to industry practices and distributed systems. The breadth of technologies used (Python, Java, C++, Go, various frameworks, databases, and DevOps tools) indicates adaptability and a willingness to learn diverse stacks. However, the candidate is still pursuing their bachelor's degree, which might imply a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work in Agile environments, participate in code reviews, and contribute to full-stack development. The focus on performance optimization and observability indicates a practical, results-oriented approach. However, without direct interview data, assessing specific soft skills like leadership, conflict resolution, or advanced communication is not possible.