Associate Software Engineer (Full Stack) at Ideyalabs

Currently working on an agent-centric project leveraging Large Language Models (LLMs), contributing to the design and implementation of autonomous AI workflows using Python for model processing and Node.js for backend integration. Collaborating on the development of intelligent, scalable backend services, ensuring seamless communication between LLM pipelines and cloud infrastructure. Previously led the development of an AI Agents framework, implementing autonomous systems that generated detailed business requirements with over 90% accuracy, enhancing automation and analytical capabilities. Designed and optimized AI-driven workflows, improving system efficiency, automation, and decision-making performance. Contributed to frontend development by building and maintaining responsive admin dashboards using Next.js and Tailwind CSS, ensuring an intuitive user experience. Working collaboratively with cross-functional teams to develop, test, and deploy end-to-end full-stack applications, integ

Core Team Lead at Analytica - KL University

Led a team of student developers in organizing and executing data science and AI projects, promoting hands-on learning and innovation. Conducted knowledge-sharing sessions and technical workshops for juniors on machine learning, data analysis, and Python programming. Mentored students during hackathons and internal competitions, guiding them through project ideation, implementation, and presentation. Collaborated with faculty and peers to build a culture of research and applied learning within the club.

Machine Learning Engineer at ArcheoByte

Developed a predictive model for customer churn using Python and libraries like scikit-learn and pandas, collaborating with the data science team on algorithm optimization (decision trees, logistic regression), and performing data cleaning, exploratory analysis, and feature engineering; evaluated model performance using precision, recall, and F1-score to identify areas for improvement.

AICTE – Edu Skills Internship at AICTE – Edu skills Internship

Completed an AI & Machine Learning virtual internship focused on practical applications of supervised and unsupervised learning. Gained hands-on experience working with Python, TensorFlow, and scikit-learn to develop and evaluate ML models. Worked on multiple AI/ML modules, including data preprocessing, feature extraction, model training, and performance optimization. Strengthened understanding of deep learning concepts and their real-world use cases through guided industry projects.