SKSanoj kumar
@sanojkumar
Aspiring machine learning engineer with a focus on predictive modeling.
IndiaWhat I'm looking for
I'm a dedicated and passionate student at the Indian Institute of Technology Delhi, pursuing a Bachelor of Technology in Chemical Engineering. My journey in the field of machine learning has been marked by significant achievements, including a Codeforces Specialist rating and exceptional performance in competitive exams like JEE Main and JEE Advanced. These experiences have honed my problem-solving skills and fueled my desire to innovate in technology.
Throughout my academic career, I have developed various machine learning models, including predictive models for alkaline water electrolyzer performance and a custom convolutional neural network for bird classification. My projects have not only enhanced my technical skills but also allowed me to apply advanced techniques such as Support Vector Machines and Gaussian Process Regression, achieving remarkable improvements in prediction accuracy. I am eager to leverage my skills in a professional setting and contribute to impactful projects.
Experience
Work history, roles, and key accomplishments
ML Models for Electrolyzer Performance
Indian Institute of Technology Delhi
Developed predictive models to determine load voltage and evaluate the operational health of an alkaline water electrolyzer for hydrogen production. Employed advanced machine learning techniques, including Support Vector Machines (SVM) and Gaussian Process Regression (GPR), which resulted in a 90% improvement in prediction accuracy and operational performance assessment.
Neural Network Model for Bird Classification
Self Employed
Developed a custom convolutional neural network (CNN) for bird image classification, leveraging PyTorch and TensorFlow for model development and evaluation. Integrated the Adam optimizer with data augmentation, dropout, and L2 regularization to enhance generalization and reduce overfitting, achieving an evaluation accuracy of 89.21 percent. Incorporated Grad-CAM for interpretability, visualizing f
ML Models for Electrolyzer Performance Prediction
Indian Institute of Technology Delhi
Developed predictive models to determine load voltage and evaluate the operational health of an alkaline water electrolyzer for hydrogen production. Employed advanced machine learning techniques, including Support Vector Machines (SVM) and Gaussian Process Regression (GPR), which improved prediction accuracy and operational performance assessment by 90%.
ASR Sentence Correction Optimization
Indian Institute of Technology Delhi
Designed and implemented a character-level correction algorithm to enhance ASR outputs, using the OpenAI Whisper model as the cost function to minimize errors and handle missed words. Developed an iterative approach for optimal replacements within sentences, ensuring seamless integration with existing systems and demonstrating robust performance in diverse correction scenarios. Utilized a beam sea
Flight Route Planner
Self Employed
Designed and implemented a route planner that utilizes Dijkstra’s algorithm to identify the most efficient flight routes between airports. Considered multiple factors such as flight distances, airline connections, and ticket prices to provide users with optimal travel itineraries.
Reactor Volume Calculator
Indian Institute of Technology Delhi
Developed an interactive web-based volume calculator for various reactor types, including Plug Flow Reactor (PFR), Packed Bed Reactor (PBR), and Continuous Stirred-Tank Reactor (CSTR). Utilized JavaScript for computational logic and numerical integration, while employing Chart.js for dynamic data visualization through interactive graphs.
Education
Degrees, certifications, and relevant coursework
IDIndian Institute of Technology Delhi
Bachelor of Technology, Chemical Engineering
Pursued a Bachelor of Technology in Chemical Engineering. The curriculum covered core principles and advanced topics in chemical processes and engineering.
CECentral Board of Secondary Education
Secondary Examination, General Studies
Grade: 87%
Completed Secondary Examination with a score of 436/500 (87%). This foundational education provided a strong academic base.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
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