AI Engineer with less than a year in backend development & data analysis.
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Assessing your cultural and operational fit
Data-driven student of Artificial Intelligence and Data Science with a talent for transforming raw data into actionable business insights. Proficient in the complete data science lifecycle, from preprocessing with Pandas to building predictive models and creating compelling visualizations with Tableau and Power BI. Committed to solving complex problems by uncovering trends and patterns in data.
KGISL Institute of Technology
B.Tech · Artificial Intelligence and Data Science
January 1, 2022 – January 1, 2026
Apophis Solutions
Full Stack Developer Intern
June 1, 2024 – August 1, 2024
Coimbatore, Tamil Nadu, India
RAG Intelligent Agent
April 8, 2026 – April 19, 2026
Architected a stateless, LPU-accelerated RAG agent using LangChain, Groq, and FAISS. Engineered a dynamic ’Smart Router’ ingestion pipeline with automated User-Agent spoofing to bypass Cloudflare. Optimized vector retrieval accuracy to 100% for edge-case micro-data by implementing a high-density text chunking strategy.
View ProjectCrowd Surveillance System
November 1, 2025 – January 20, 2026
Built an AI-driven real-time surveillance system to detect stampedes, weapons, and other anomalies using deep learning. Utilized OpenCV and YOLOv8 for image preprocessing, motion tracking, and pattern recognition. Delivered instant alerts and 92% accurate crowd analytics via a real-time web and mobile dashboard.
QR Based Attendance Tracking System
June 10, 2025 – October 8, 2025
Engineered a QR code-based system to automate classroom attendance, eliminating proxy attendance by over 50%. Integrated GPS and Bluetooth verification to ensure student presence with 95% accuracy. Deployed a private portal for students, enabling secure two-step verification and attendance logging.
View ProjectCloud Essentials
IBM
June 1, 2026 – Present
Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Data Science
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from surveillance systems to RAG agents and attendance tracking, indicates a broad interest in applying AI to various domains. The target role of 'AI Engineer' aligns well with the candidate's educational background in AI and Data Science, as well as their project focus. Participation in hackathons and research paper submission further demonstrates initiative and a collaborative spirit, contributing positively to cultural fit. However, the limited professional experience (one internship) means less exposure to diverse team dynamics and corporate cultures.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, communication, problem-solving, time management, and adaptability as soft skills. The project descriptions indicate an ability to work on end-to-end solutions and optimize processes, suggesting a proactive and results-oriented approach. The internship experience also mentions adopting Agile methodologies, which aligns with modern operational practices.