Gowtham Sakthi

Computer Science Engineering graduate (2026) with strong hands-on expertise in AI/ML, deep learning, computer vision, Generative AI, and full-stack web development. Built production-grade systems — real-time deepfake detection, AI-powered mock interview platforms, and local PDF toolkits — using Python, TensorFlow, OpenCV, and Claude API. Skilled in both backend API development (Flask, FastAPI, Laravel) and modern frontend engineering (Vue.js, JavaScript). Open to relocation.

Machine Learning Intern at VCODEZ (2025-08 – Present)

• Designed end-to-end ML pipelines: data ingestion, preprocessing, feature extraction, model training, and evaluation using Python & TensorFlow
• Built computer vision classification systems; applied hyperparameter tuning and cross-validation to optimise model accuracy

Data Science Intern at Artificial Tech (2025-01 – Present)

• Performed EDA and statistical analysis on real-world datasets; identified key predictive features improving model performance
• Built and evaluated supervised learning models; visualised results using Matplotlib and Seaborn for stakeholder reporting

Web Development Intern at AK INFOPARK (2024-04 – Present)

• Built responsive UI components using HTML, CSS, and JavaScript; integrated REST APIs and improved UI performance

AI & ML Training at Besant Technologies (2024-01 – 2025-12)

Completed government-recognised Diploma in Software Engineering (BSS) and hands-on AIML training in supervised/unsupervised learning, data preprocessing, and model evaluation

Software Engineering Training at Bharat Sevak Samaj (BSS) (2023-01 – 2024-01)

Completed 1-year government-recognised diploma training in software engineering fundamentals and Python programming

B.E. in Computer Science Engineering – Jayamatha Engineering College / Anna University (2022-01 – 2026-12)

HSC & SSLC – Holy Redeemers Hr. Sec. School (2019-01 – 2022-12)