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 - VCODEZ

(2025-08)

• 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 - Artificial Tech

(2025)

• 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 - AK INFOPARK

(2024-04)

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

AI & ML Training - Besant Technologies

(2024 - 2025)

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 - Bharat Sevak Samaj (BSS)

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

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

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