Software Engineer with less than a year in AI-powered full-stack development
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As a Software Engineer Intern with 8 months of experience at Jspark AI, I have contributed to building backend services and REST APIs, developed a CRM platform, and integrated frontend features for an LMS. My expertise extends to responsive web development using Next.js and working on AI-powered platforms for recruitment and code review. My project work highlights skills in RAG, LangChain, FastAPI, and database management, demonstrating a strong foundation in both software engineering and AI applications.
Dr. APJ Abdul Kalam Technical University (AKTU)
Bachelor's degree · Computer Science
August 1, 2022 – June 30, 2026
Jspark AI
Software Engineer Intern
November 1, 2025 – June 30, 2026
Noida, Uttar Pradesh, India
Orizen Flow
January 1, 2025 – January 1, 2026
Built an AI-powered recruitment platform that helps recruiters screen candidates, run assessments, and manage hiring workflows. Developed automated assessment pipelines to generate candidate scores, feedback, and structured hiring insights from resumes and evaluation data. Designed backend APIs, workflow automation, and database systems to support end-to-end hiring operations. Implemented recruiter-facing workflows for candidate shortlisting, profile tracking, and evidence-based hiring decisions.
View ProjectPaperMind
January 1, 2025 – January 1, 2026
Built a RAG-based document chat application that lets users query and converse with large collections of PDFs and knowledge sources. Implemented document ingestion, chunking, embeddings, vector indexing, and semantic retrieval using LLMs and Qdrant. Developed multi-document chat workflows for context-aware question answering across uploaded files and external knowledge sources. Improved retrieval quality through embedding pipelines, prompt design, and grounded response generation.
CalMarshal
January 1, 2025 – January 1, 2026
Built a calendar scheduling platform for booking meetings, managing availability, and handling calendar-based workflows. Integrated Google and Outlook Calendar APIs for event scheduling, availability sync, and time-slot management. Implemented secure OAuth authentication with token refresh and permission-scoped calendar connections. Developed a time-slot generation engine accounting for time zones, existing events, and custom buffer rules.
ReviewScope
January 1, 2025 – January 1, 2026
Built an AI-powered code review platform that analyzes pull requests and repositories to identify code quality, maintainability, and reliability issues. Implemented repository-aware retrieval pipelines to analyze code beyond diffs using related files, imports, and type definitions. Developed backend services for repository processing, report generation, and review workflow orchestration. Designed automated review pipelines to generate actionable developer feedback and structured summaries.
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest in AI-driven solutions and full-stack development, aligning well with innovative tech environments. The diversity of projects (recruitment platform, document chat, code review, calendar scheduling) indicates a broad interest and ability to tackle different problem domains. The candidate is still pursuing a Bachelor's degree, which suggests a growth mindset and eagerness to learn. However, the lack of team-based project experience beyond an internship limits the assessment of collaboration and cultural integration in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates initiative and problem-solving skills through diverse personal projects. The project descriptions indicate an ability to conceptualize, design, and implement complex systems. However, without direct interview interaction or psychometric test results, a comprehensive assessment of soft skills like teamwork, communication, and adaptability is limited. The candidate's experience is primarily in an internship and personal projects, suggesting a strong drive for learning and application.