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AI Engineer with less than a year in RAG, NLP & Full-stack Development.
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Assessing your cultural and operational fit
Highly motivated and results-oriented student pursuing a Bachelor of Technology in Information Technology with an expected graduation in August 2027. Possesses a strong academic record (GPA 9.57/10) and practical experience in AI/ML, full-stack development, and cloud platforms. Skilled in building Retrieval-Augmented Generation (RAG) pipelines, developing AI agents, and designing full-stack applications. Eager to contribute technical expertise and innovative solutions to challenging projects.
BVRIT Hyderabad College of Engineering for Women
Bachelor of Technology · Information Technology
N/A – June 30, 2027
Agentic AI
Saksham Program Participant
January 23, 2026 – January 24, 2026
India
Ananya - Goldman Sachs
Catalyst 2025 Mentee
May 1, 2025 – July 1, 2025
India
Smart Place - AI-Based Talent Matching System
January 1, 2026 – June 1, 2026
Designed and developed a full-stack AI platform to match student resumes with job descriptions using semantic similarity. Implemented NLP-based resume parsing and skill extraction using embeddings and cosine similarity scoring. Built REST APIs with Flask to generate and compare vector embeddings for ranking candidates. Developed an Admin Dashboard for job uploads, candidate tracking, and automated match scoring.
View ProjectExpense Tracker Application
January 1, 2025 – December 31, 2025
Developed a budget management application with authentication, expense categorization, and real-time budget alerts. Applied object-oriented programming principles and relational database design for efficient data handling.
Research Paper Presentation
7th Pure Earth Environment Conference
June 1, 2026 – Present
Energy Literacy Training Certificate
Energy Swaraj Foundation
June 1, 2026 – Present
Certificate of Participation – MEDHANVESH 2K24
BVRIT Hyderabad College of Engineering for Women
January 1, 2024 – Present
Certificate of Appreciation – Vishnu Artificial Summit (Falathon 2023)
Vishnu Foundation TBI
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in AI and software development, aligning with a technical, innovation-driven culture. The diversity of projects (AI matching, expense tracker) and participation in various technical events suggest adaptability and a willingness to explore different domains. However, the experience is primarily academic and short-term, so the depth of cultural integration in a professional setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver functional applications. Participation in mentorship programs and technical events suggests a proactive attitude and potential for collaboration. However, without direct behavioral assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be definitively evaluated.