About.
Hello there! Name's Chandru, I'm an AI Engineer passionate about building intelligent and automated solutions.
I specialize in developing AI-driven applications that optimize workflows, enhance decision-making, and improve user experiences. With expertise in machine learning, deep learning, and NLP, I work on projects ranging from AI-powered automation to real-time analytics and intelligent assistants.
My tech stack includes Python (Flask, FastAPI), TensorFlow, PyTorch, and LLM fine-tuning, along with React, Next.js, and backend technologies like Node.js, PostgreSQL, and MongoDB for full-stack development. AI tools such as ChatGPT, GitHub Copilot, and Midjourney are integral to my workflow.
When I’m not building AI solutions, I focus on improving my soft skills in problem-solving, adaptability, communication, and organization. I'm also passionate about music and cinema.
I’m always seeking new challenges and opportunities to innovate with AI. If you’re interested in collaborating or have any questions, feel free to reach out!
Stack
+
Projects.
Ai call automation
AI call automation app that allows users to schedule calls and deliver predefined messages using AI-driven voice synthesis.
Details >
Yeildify
Smart agriculture website that leverages AI to provide farmers with insights on crop health, weather predictions, and automated recommendations.
Details >
Sound Classifier
A sound classifier that utilizes deep learning to categorize and recognize different sounds in real time.
Details >
Blog website
A modern blog website with a clean design, allowing users to create, edit, and share articles effortlessly.
Details >
Experience.
I develop custom websites for individuals and small businesses, delivering responsive, user-friendly, and tailored designs. My responsibilities include optimizing site performance, enhancing search engine optimization (SEO) for better search visibility. Additionally, I offer logo design and social media assistance to improve brand presence and engage clients across different industries.
I specialize in developing and optimizing AI models, focusing on enhancing performance, accuracy, and real-world applicability. My role involves designing and fine-tuning machine learning models, improving AI-generated outputs, conducting performance analysis, and implementing data-driven enhancements. I also work on handling edge cases, integrating AI solutions into various applications, and documenting best practices to ensure scalable and high-quality AI systems.
Certification.
Focused on frontend skills, backend API integration, and building APIs from scratch. Developed responsive web apps, enhanced webpage dynamics, optimized site performance, and managed projects from start to finish under mentorship and examination. Key project: Mayavi, a full-stack Blogger platform built with the MERN stack.
Focused on Machine learning algorithms , from basic machine learning algorithms to Advanced concepts like Convolutional neural networks ,Deep learning optimization techniques.Key projects : Sound classification system,Iris flower classification
Focused on mastering Machine Learning fundamentals with Python, including data preprocessing, feature engineering, model training, evaluation, and optimization. Developed skills in Supervised and Unsupervised Learning, Deep Learning, and algorithmic thinking. Gained experience in working with datasets, implementing models using libraries like Scikit-Learn and TensorFlow, and fetching data from APIs. Emphasized practical applications and best practices for building efficient and scalable machine learning solutions.