AI Engineer with less than a year in Python, SQL & Data Analysis.
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Motivated Associate Software Engineer (AI Specialization) with 9 months of experience in Python, SQL, HTML, CSS, and Data Analysis. Proven ability to analyze datasets, develop web applications, and implement AI/ML projects, including web scraping, data analysis, and retrieval-augmented medical assistants. Skilled in various databases, tools like Power BI and Git, and concepts like Regex and Data Quality.
BML Munjal University
B.Tech in Computer Science (AI Specialization) · Computer Science (AI Specialization)
August 1, 2022 – June 30, 2026
Aviraj World School
Senior Secondary (Class XII)
N/A – May 31, 2022
Euro International School
Secondary School (Class X)
N/A – May 31, 2020
Verto Bizserv
SQL Developer Intern
January 1, 2026 – Present
Noida, Uttar Pradesh, India
Areksoft Technologies
Software Trainee
June 1, 2024 – August 1, 2024
India
MediGenie - Medical Assistant
May 1, 2025 – May 1, 2025
Built a retrieval-augmented medical assistant capable of document-based question answering using vector search. Implemented document chunking, embedding pipelines, and semantic retrieval workflows for medical knowledge extraction. Improved response quality through prompt engineering and retrieval optimization techniques.
Web Content Analysis System
January 1, 2025 – December 31, 2025
Developed a web scraping and content analysis tool to extract and evaluate website information. Analyzed URL structures, metadata, and content quality using automated parsing techniques. Generated structured reports to support content categorization and optimization.
View ProjectLinkedIn Data Scraping & Analysis
August 1, 2024 – August 1, 2024
Scraped and analyzed data from 15,000+ LinkedIn profiles to identify hiring trends, skill demand patterns, and recruitment insights. Processed large datasets using Python, SQL, and PySpark while performing data validation and quality analysis. Built dashboards and reports to visualize trends and support data-driven decision making.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in data analysis, web scraping, and AI applications, indicating a broad skill set and adaptability. The 'MediGenie' project shows an interest in applying AI to practical problems, which aligns with an innovative and problem-solving culture. The current internship as an SQL Developer Intern and previous Software Trainee role suggest a willingness to learn and contribute across different technical areas. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and internship roles suggest an ability to collaborate in cross-functional teams, document findings, and contribute to process improvements. The academic background in AI specialization indicates a proactive learning attitude and problem-solving skills. However, the experience is primarily academic and internship-based, so real-world operational fit in a fast-paced, senior-level environment needs further validation.