Nishanthan Gs

Entry-level AI Engineer with hands-on experience building LLM-powered applications, ML pipelines, and full-stack AI products across 4 internships. Delivered end-to-end systems using Groq, Gemini, RAG, TensorFlow, and FastAPI, achieving practical results in code review automation, healthcare advisory, fraud detection, and AI-driven recruitment — targeting AI/ML Engineer and Generative AI Developer roles.

Generative AI Intern - Sourcesys Technologies

(2026-03 - 2026-06)

• Built an LLM-based Intelligent Code Review Assistant using Groq and Gemini APIs, covering bug detection, security analysis, documentation generation, and code optimization.
• Engineered multi-step prompt chains with Streamlit UI; integrated Supabase + Google OAuth for secure authenticated access.
• Reduced manual code review effort by automating 4 review dimensions across a live application deployed with Git/Agile workflow.

Machine Learning Intern - V3 Analytics

(2024-06 - 2024-07)

• Built an end-to-end employee attrition prediction pipeline on the IBM HR Analytics dataset (~14,000 records): EDA → feature engineering → model training → evaluation.
• Applied supervised learning algorithms (Logistic Regression, Random Forest, XGBoost); tuned for accuracy and F1-score to minimize false negatives.
• Delivered a trained, evaluated model with documented performance metrics, demonstrating full ML workflow ownership.

Artificial Intelligence Intern - CodSoft

(2024-01 - 2024-12)

• Developed and benchmarked AI/ML models with hands-on data preprocessing, model deployment, and performance metric analysis on real-world tasks.

Django Framework Intern - RV Tech Learn

(2024-01 - 2024-12)

• Engineered secure REST APIs and user authentication for Adventure Plannar, a dynamic web app, using Django's ORM and session management.

B.Tech - Artificial Intelligence & Data Science - Sri Eshwar College of Engineering (2022-01 - 2026-12)

HSC - Beula Matric Hr. Sec. School (2020-01 - 2022-12)