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AI Engineer with 1+ years in Generative AI & Data Science.
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Assessing your cultural and operational fit
Computer Science graduate (B.Tech, CSE – AI & ML) with hands-on experience across Generative AI engineering, design & development, and data science internships. Skilled in building ML pipelines, LLM-powered applications, and full-stack tools. Passionate about AI innovation and real-world problem-solving.
Joy University, Tamil Nadu
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Orionac Pvt Ltd
Generative AI Engineer Intern
March 1, 2026 – June 1, 2026
Chennai, Tamil Nadu, India
Infochord Technologies Pvt. Ltd.
Design & Development Intern
January 1, 2026 – March 1, 2026
Hyderābād, Telangana, India
Joy University
Python Trainer & Student Mentor
January 1, 2025 – June 1, 2026
India
YBI Foundation
Data Science & ML Intern
January 1, 2023 – December 31, 2023
India
AI-Powered Interview Simulator
January 1, 2026 – June 1, 2026
Full-stack platform using FastAPI, React.js, PostgreSQL, TF-IDF NLP, Hugging Face models, Web Speech API, and LLM integration (Docker-deployed); delivers real-time behavioral, technical, and voice feedback. Reduced mock interview prep time by 50% in user testing.
Churn Prediction – ConnectSphere Telecom
January 1, 2026 – June 1, 2026
Built ANN model achieving 87% accuracy on 70K+ customer records for churn prediction; applied feature engineering and hyperparameter tuning to improve baseline by 12%.
Smart Library Analytics Dashboard
January 1, 2026 – June 1, 2026
Built IoT-based dashboard to track misplaced books and visualize library usage trends.
AWS Job Simulation
Forage
June 1, 2026 – Present
AI Advanced Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including an AI-powered interview simulator and churn prediction, shows initiative and a broad interest in applying AI to different domains. Their experience as a Python trainer and student mentor indicates a willingness to share knowledge and contribute to a learning environment. The leadership role in a tech fest further highlights their proactive and collaborative nature, suggesting a good cultural fit for a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through organizing a tech fest and mentoring students. Their project descriptions indicate an ability to work on end-to-end solutions and collaborate within a team. The focus on problem-solving and real-world application aligns well with an operational role in AI engineering.