About Me
Passionate about pushing the boundaries of AI and machine learning
AI Engineer
AI Engineer with a Master's specialization in Artificial Intelligence and Machine Learning, experienced in building intelligent systems using Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Skilled in developing real-time AI applications including gesture recognition systems (MediaPipe + CNN-LSTM), LLM-powered chatbots, and object detection models such as RetinaNet and CheXNet for medical image analysis.
Hands-on experience with model training, feature engineering, data preprocessing, and deployment using Python, TensorFlow, Keras, OpenCV, NumPy, and Scikit-learn. Proficient in working with modern AI tools and frameworks, including GPT-based systems, LLaMA, Claude (Opus, Sonnet, Haiku), and Gemini for building scalable AI solutions.
Strong problem-solving mindset with a passion for continuous learning, AI innovation, and developing future-ready intelligent products that create real-world impact.
Projects
Years Experience
Model Accuracy
Professional Experience
My career journey in AI and machine learning
Evolve Robot Lab
AI Engineer
Promoted from AI Research Intern to AI Engineer. Developing and deploying production-grade ML models, optimizing inference pipelines, and building end-to-end AI solutions for robotics applications.
Evolve Robot Lab
AI Research Intern
Conducted research in computer vision and deep learning for robotic systems. Built gesture recognition prototypes, trained object detection models, and contributed to research publications.
Education
My academic journey
M.Tech in AI & Machine Learning
VIT University, Vellore
Specialization in deep learning, computer vision, and natural language processing. Research focus on medical image analysis and gesture recognition systems.
B.Tech in Information Technology
Kingston Engineering College, Vellore
Core foundation in data structures, algorithms, databases, and software engineering principles.
Projects
Showcasing my work in AI, computer vision, and deep learning
Hand Gesture Recognition
Real-Time YouTube Control System
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~95%
Accuracy
<0.2s
Latency
6 classes
Gestures
Pneumonia Detection
Automated Chest X-Ray Analysis
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93.8%
Accuracy
0.96
AUC-ROC
CheXNet+FPN
Models
Skills
Technologies and tools I work with
Languages
Frontend
AI / ML
Tools & Platforms
AI Models
Get In Touch
Have a question or want to collaborate? Feel free to reach out!