Manish Sirohi
@manishsirohi
Results-driven Computer Science Engineer with expertise in web development.
ZimbabweWhat I'm looking for
I am a results-driven Computer Science Engineer with hands-on experience in web development, machine learning, and full-stack development. My journey has been marked by a proven success in building responsive web applications and data-driven models that enhance efficiency and address real-world challenges. I thrive in collaborative environments, leveraging strong problem-solving skills to deliver high-quality solutions under tight deadlines.
During my internships, I developed a React Native-based mobile app for LeaveCode Technologies that streamlined communication between citizens and municipal services. I also contributed to web applications at Sneagnic Pvt. Ltd., where I integrated RESTful APIs and optimized database performance. My projects, including a Crop Yield Prediction System and a Leaves Disease Detection System, showcase my ability to apply machine learning techniques effectively, achieving high predictive accuracy and improving agricultural planning efficiency.
Experience
Work history, roles, and key accomplishments
Mobile App Development Intern
LeaveCode Technologies pvt. Ltd.
Jan 2025 - Feb 2025 (1 month)
Worked on AppLaChain, a React Native-based trash collection app that improved communication between citizens and municipal services. Implemented navigation architecture, integrated REST APIs, and built dynamic UI components for cross-platform performance.
Web Development Intern
Sneagnic Pvt. Ltd.
Feb 2024 - Apr 2024 (2 months)
Developed and maintained web applications using HTML, CSS, JavaScript, and React. Collaborated with the back-end team to integrate RESTful APIs, contributing to a scalable architecture and optimizing database performance.
Food Blog Website
Personal Project
Nov 2023 - Dec 2023 (1 month)
Created a dynamic food blog using HTML, CSS, and JavaScript, incorporating SEO techniques that resulted in a 20% increase in website traffic within the first month.
Crop Yield Prediction System
Personal Project
Nov 2023 - Dec 2023 (1 month)
Built a machine learning model using the KNN algorithm to predict crop yields based on various environmental factors, achieving 85% predictive accuracy and improving agricultural planning efficiency.
Leaves Disease Detection System
Personal Project
Nov 2023 - Dec 2023 (1 month)
Developed a deep learning system using OpenCV to detect diseases in plant leaves, achieving 90% accuracy. Utilized Python and various libraries for data preprocessing and visualization.
Education
Degrees, certifications, and relevant coursework
I.T.S Engineering College
Bachelor of Technology, Computer Science & Engineering
2020 - 2024
Relevant Coursework: Data Structures, Algorithms, Machine Learning, Web Development.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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