I'm a Computer Science engineering graduate passionate about software automation, modern computing, and driving digital transformation. With a hands-on background in machine learning and scalable applications, I thrive on building tools that streamline complex processes and solve real-world inefficiencies. Beyond the code, I bring the communication and leadership skills honed on the cricket pitch to every team I join.
Ready to see what I’ve been building? Let’s dive into the work.
Python, SQL (PostgreSQL, MySQL), HTML, CSS
Flask, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Matplotlib, PIL, OpenCV, openpyxl, pathlib
Power Platform (Power Apps), Git, GitHub, Excel, Power BI, SharePoint, Visual Studio Code
Captain of University Cricket Team and Ex-Student Council Member of the University; leading diverse teams under pressure, strategizing, and fostering collaboration.
Translating complex technical concepts to non-technical stakeholders and students; former Student Council Member. Volunteer management for large-scale events, and cross-functional team coordination.
End-to-end task execution, process optimization, retail workflows, CRM, Technical Report Writing, Principles of Management, Operations Management, and Organizational Psychology.
Digital Transformations & IT Support Intern
Supported smooth ERP migration and IT operations by efficiently managing user queries and troubleshooting basic networking issues. Conducted extensive testing and optimization across mobile, tablet, and laptop interfaces to ensure a seamless migration process.
Debugged database management applications, primarily Microsoft power apps used to automate company’s processes.
Product-Image Consolidator - Built a Flask-based application to bulk-process Excel files and automatically insert product images based on IDs, heavily optimizing workflows.
Assisted with basic IT operations and learnt networking and security basics at the industry level.
Understood supply chain and operations workflows such as sales and procurement, etc, which was crucial in assisting the UAT processes during the ERP migration.
Robotics & STEM Intern
Guided students through practical applications of coding and electrical fundamentals, translating complex topics into accessible lessons.
Managed and coordinated volunteer teams for the prestigious NASA Space Apps Challenge held in Abu Dhabi, ensuring smooth event operations.
A tool that streamlines the process of associating product images with their corresponding entries in Excel spreadsheets.
Needed a solution to efficiently link product images with their Excel data, overcoming manual errors and improving workflow.
Achieved 100% accuracy in linking images with Excel entries, 98% reduction in time taken for manual data entry and streamlined standardized cataloging processes.
This project focuses on developing a secure method for embedding data within audio files, ensuring confidentiality and integrity of sensitive information through multialgorith encryption.
The challenge was to create a robust solution for securely embedding data within audio files, ensuring that the hidden information remained confidential and intact.
Successfully implemented a secure audio steganography solution that maintained data integrity and confidentiality, with a 95% success rate in data extraction.
A Deep Neural Network model for recognizing and classifying Typefacce (different fonts) from images and text.
The main challenge was to develop a machine learning model that could accurately recognize and classify different fonts from images, despite variations in style, size, and quality.
Developed a robust machine learning model with a 78% accuracy rate in recognizing and classifying different fonts from images.
A machine learning model for classifying music into different genres based on audio features. The model uses 4 different machine learning algorithms to compare their performance.
The main challenge was to develop a machine learning model that could accurately classify music into different genres, despite variations in audio characteristics and overlapping genre boundaries.
Developed a robust machine learning model with a 65% - 70% accuracy rate in classifying music into different genres.
An intelligent, context-aware conversational AI powered by Gemini and Pinecone that translates complex UAE financial regulations into clear, everyday guidance.
The aim is to develop a chatbot that could effectively understand and respond to a wide range of user queries related to financial aid applications, while ensuring accuracy and providing a good user experience.
Currently under development with promising initial results.
A comprehensive study exploring the potential impact of blockchain technology on supply chain management, including benefits, challenges, and real-world applications.
A comprehensive study exploring the integration of industrial robotics in manufacturing processes, focusing on efficiency, cost reduction, and real-world applications.
Microsoft
Microsoft
AGCOE
Quickstep Computer Center
HP Life
HP Life
Tecoholic
Coursera
Udemy
NASA
BITS Pilani
B.E. Computer Science (Graduating July 2026)
CGPA: 7.38
Core Courses: Computer Programming, Object Oriented Programming, Logic in CS, Discrete Structures, Data Structures and Algorithms, Database Systems, Principles of Programming Languages, Computer Architecture, Theory of Computation, Operating Systems, Computer Networks, Compiler Construction, Design and Analysis of Algorithms
Discipline Electives: Foundation of Data Science, Machine Learning, Cryptography, Data Mining, Neural Networks and Fuzzy Logic, Intro to Large Language Models, Generative AI.
Other Electives: Technical Report Writing, Introduction to Arabic, Principles of Management, Operations Management, Organizational Psychology.
Leadership: Ex-Student Council Member.
Sports: Captain of the University Cricket Team.
LKG to Grade 12
Built a strong foundation in academics and extracurriculars throughout my entire primary and secondary education.
Class 10 - ICSE Board: Science - 91%
Class 12 - ISC Board: PCMB - 87%













Currently seeking entry-level software development and business automation roles.
Looking for someone who can build intelligent pipelines and automate complex workflows? I bring hands-on experience with ML pipelines, python automation, and the Power Platform to optimize and scale your technical operations.
Download ML/Automation ResumeNeed insights driven by data and strong operational management? My background blends technical data analysis with business principles, supply chain understanding, and proven cross-functional team leadership.
Download Analytics ResumeA comprehensive overview of my skills and experiences across various domains.
Download All Purpose Resume