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AI Engineer with less than a year in Machine Learning & Deep Learning
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AI & Machine Learning Engineer with hands-on experience in deep learning, computer vision, NLP, LLM-based application development, and cybersecurity AI. Proficient in Python, TensorFlow, Scikit-learn, LangChain, and OpenCV. Passionate about building scalable, production-ready ML pipelines and intelligent systems. Seeking ML Engineer / AI Developer roles.
Ramco Institute of Technology, Anna University
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Anna University
HSC
N/A – Present
Anna University
SSLC
N/A – Present
Edify Techno Solutions
Data Analytics & ML Intern
June 1, 2024 – September 1, 2024
Chennai, Tamil Nadu, India
Intrusion Detection System (IDS)
June 1, 2026 – Present
Built a machine learning-based IDS to classify network traffic as normal or malicious using supervised classification algorithms. Applied feature engineering on raw network packet data - extracted statistical features such as flow duration, byte rates, and flag counts. Evaluated models using precision, recall, F1-score, and AUC-ROC; achieved strong detection rates with low false-positive rates. Aligned with real-world threat detection frameworks, demonstrating applied knowledge of cybersecurity AI.
View ProjectGold Chain Pattern Detection System
June 1, 2026 – Present
Designed and trained a custom YOLOv2 object detection model to identify and classify gold chain patterns. Implemented image preprocessing pipeline (resizing, normalisation, augmentation) improving model mAP significantly. Deployed as an automated visual inspection tool, reducing manual quality-control effort. Applied transfer learning on pre-trained CNN backbones to accelerate model convergence.
View ProjectLLM Chatbot Application
June 1, 2026 – Present
Built a production-ready LLM chatbot integrating Ollama-hosted models (Mistral, LLAMA 2) via LangChain. Designed advanced prompt pipelines (few-shot, chain-of-thought) to improve contextual response quality. Implemented modular, scalable architecture with plug-and-play model backends via REST API. Explored RAG (Retrieval-Augmented Generation) techniques for domain-specific knowledge injection.
View ProjectGoogle Cloud Cybersecurity
January 1, 2025 – Present
Microsoft Power BI Data Analyst Associate
ICT Academy
January 1, 2024 – Present
Introduction to Data Science
Cisco
January 1, 2024 – Present
Networking Basics
Cisco
January 1, 2024 – Present
Algorithms Specialization
Stanford University / Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in diverse AI/ML domains, including NLP, computer vision, and cybersecurity AI, which aligns well with a dynamic and innovative AI engineering environment. The variety of projects (chatbot, IDS, object detection) and certifications (Google Cloud Cybersecurity, Algorithms Specialization) indicates a continuous learning mindset and a broad technical curiosity. While the experience is primarily academic and internship-based, the ambition to build 'scalable, production-ready ML pipelines' suggests a good fit for a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges independently. Participation in extra-curricular activities and technical competitions suggests a proactive attitude and potential for teamwork, though direct evidence of collaboration or communication skills in a professional setting is limited to the internship description. The focus on building 'production-ready' systems implies an understanding of operational aspects, but deployment experience is primarily within personal projects.