Raj Kumar

Conducting research in renewable energy and green hydrogen projects using machine learning, deep learning, and LLMs to optimize and enhance renewable applications. Passionate about leveraging AI for sustainable energy solutions.

- Developing machine learning models using techniques like regression, classification, clustering etc. - Analyzing datasets, deriving insights and building prototypes to solve business problems. - Performing research on the latest AI/ML trends and applying cutting-edge algorithms. - Evaluating and optimising model performance. - Presenting results through reports and demonstrations. - Collaborating with data scientists and clients. - Staying updated with academic research and industry solutions. - Recommending technologies and infrastructure for ML applications. - Ensuring ethical standards and data security. - Continuous learning and problem-solving mindset.

- Conducting research in the field of computer vision, machine learning, and autonomous systems i.e. self-driving cars - Designing and built ML and CV models for applications like object detection, localization, and classification - Developing algorithms and methodologies to integrate AI and CV technologies into autonomous systems - Delivering lectures on computer vision and self-driving cars and designed a comprehensive curriculum - Collaborating with team to refine and update the research as per developing trends in the field of technology

- Giving online classes on mathematics courses of calculus, linear & college algebra, and additional math - Providing individual and small group tutoring to help students who require extra assistance in mathematics - Maintaining regular communication with parents/guardians regarding students’ performance

- Arranged seminars on safety standards for technicians and craftsmen during the field - Managed the tasks of budgeting and estimation and enforced the safety standards - Resolved the electrical issues during the field in coordination with technicians

During this internship, I worked in Marketing PD Pvt. Sales Department in Transformer Unit and learned the basic mechanical and electrical designs of different switchgear panels including HT and LT panels.

During this job I was worked on the following tasks: - Applied machine learning algorithms to detect diseases in plants and humans - Obtained impactful classification performances by using supervised and unsupervised classification models i.e. SVM, Naïve Bayes, Random Forest, PCA, LDA, Logistic Regression, and Decision Tree - Obtained the texture-based, SURF, and BRISK features of dataset by using image processing techniques - Performed data augmentation techniques of rescaling, cropping, grey-scaling, contrast, flipping, & saturation - Measured the classification performance using k-fold cross-validation, F1-score, precision, accuracy and recall - Applied transfer learning & VGG-16 model on augmented and unaugmented dataset for comparative analysis - Controlled the overfitting by applying PCA model with limited number of features

During this job, I was teaching mathematics courses of Calculus, Linear Algebra, College Algebra, Business Math, and Additional Mathematics to the students of different semesters with different departments.

I worked with Galaxy4Peace, a Nigerian organization as a UNV (United Nations Volunteer). During this period, I along with an international team wrote a "Teach Peace Educational Manual for Primary and Secondary School Students."

It was a six weeks internship in the engineering department at Continental Biscuits Limited. During this internship program, I worked with professional engineers as a team to deal with runtime industrial problems related to Controllers, Motors, Sensors, and PLCs. I have successfully done three internship projects given as under and written a final internship report. 01. Traffic Light Signal Control System Based on PLC 02. Three Floor Lift Control System Based on PLC 03. Star & Delta Connection Control of Three Phase Induction Motor Based on PLC

I was working as a mentor for the NTHP Scholarship program at Sukkur IBA University. During this mentorship experience, I achieved the following targets: 01. Mentored more than 150 students in English, Mathematics, and ICT courses 02. Counseled students regarding their Foundation Semester in coordination with three respective instructors

Currently pursuing a Master’s degree in Electronic Engineering with a strong focus on Artificial Intelligence, Machine Learning, and energy systems applications. My coursework and research emphasize both theoretical foundations and practical implementations in advanced computing and intelligent systems. Key areas of study include: Large Language Models (LLMs) and Domain-Specific LLM Applications Neural Network Theory and Deep Learning Special Topics in Artificial Intelligence Parallel Processing Systems Convergence Engineering Colloquium Introduction to Electrochemistry My academic work integrates AI-driven solutions with real-world energy challenges, particularly in solar forecasting, fault detection, and multimodal learning systems.

I have done my specialization in Electronics with the following major/elective courses, 01. Fiber Optic Communication 02. Artificial Intelligence 03. Introduction to Robotics 04. Very Large Scale Integration (VLSI) 05. Digital System Design 06. Electronic Circuit Design 07. Industrial Electronics 08. Digital Signal Processing 09. Engineering Entrepreneurship 10. Power Electronics