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AI Engineer with less than a year in AI, NLP, and Web Development.
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Assessing your cultural and operational fit
Highly motivated and results-oriented junior AI Engineer with 11 months of experience in Data Science and web development. Proficient in Python, NLP, and machine learning, with a strong background in building AI-driven recommendation systems and automating data workflows. Proven ability to contribute to innovative projects and optimize technical processes, demonstrated by successful contributions to real-estate data processing, chatbot integration, and fraud detection systems.
Sri Vasavi Engineering College
B.Tech · Computer Science and Engineering (AI)
August 1, 2022 – June 30, 2026
Sri Chaitanya Jr College
Intermediate · MPC
June 1, 2020 – May 31, 2022
NIT Andhra Pradesh
Project Intern
May 1, 2025 – August 1, 2025
India
EkamAI
Data Science Intern
May 1, 2025 – December 1, 2025
India
AI-Driven Locality Finder (FIYLO-AI) |Cosmo-Soil Live
June 1, 2026 – Present
Processed 1600+ real-estate records, automated workflows using n8n, and built web features for an AI-based recommendation system, enabling faster and more accurate locality suggestions based on user preferences
QR Invitations
June 1, 2026 – Present
Created a QR-based invitation system for the college fresher's day celebration, allowing 350+ attendees to instantly access personalized digital invitations via Google Lens or any QR scanner.
View ProjectFraud App Detection
June 1, 2026 – Present
Built an NLP-based sentiment analysis system capable of processing 5,000+ user reviews to detect potential fraud, improving accuracy in identifying fraudulent mobile applications.
View ProjectWeb Scraper
June 1, 2026 – Present
Automated extraction of interactive website data using Selenium, storing 97,000+ records in MySQL and eliminating the need for manual interaction with the website.
View ProjectMicrosoft Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
GETS Higher (CEFR)
Unknown
June 1, 2026 – Present
Social Networks
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a proactive learning attitude through certifications (Azure AI Fundamentals, NPTEL Social Networks) and competitive programming achievements. Project diversity, ranging from academic to professional internships, indicates adaptability and a willingness to explore different problem domains. The focus on AI-related projects aligns well with an AI Engineer role, suggesting a strong interest and potential for cultural fit within an AI-centric team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical applications and automate processes. Participation in club activities suggests teamwork and communication skills, though direct evidence of operational fit or advanced soft skills is limited due to the early career stage and lack of specific behavioral data.