PRAKASH KUMAR
Software Engineer
About Me
INITIATING_PROFILE...
Greetings. I am Prakash Kumar, a Software Engineer navigating the digital frontier. My core function involves:
- Testing Cutting Edge applications to evaluate performance, reliability, and scalability.
- Uncovering Patterns & anomalies in complex data streams.
- Architecting & deploying Intelligent Systems.
- Rigorously validating data-driven solutions to forge Impactful Decisions.
I thrive on materializing interfaces that are not only Aesthetically Striking but also Intuitively Functional. My operational directive is fueled by a passion for emergent technology, and I am perpetually scanning for the next Evolutionary Challenge.
Tech Stack
Java
SpringBoot, Automation
Python
Automation, Data analysis, ML
Machine Learning
Predictive modeling, NLP
Data Visualization
Matplotlib, Seaborn, Plotly
SQL
Database management
JavaScript
Interactive dashboards
Node.js
Backend development
Cloud
AWS, Azure, GCP
Deep Learning
Neural networks, CNNs
Projects
AI-Based Agriculture Recommendation
An intelligent system that provides personalized crop recommendations to farmers based on soil conditions, weather patterns, and market trends.
Medical Mask Detection Using CNNs
Computer vision system using convolutional neural networks to detect proper mask usage in public spaces for health compliance.
E-Commerce Automation with OCR
Automated product listing system using optical character recognition to extract product details from images and descriptions.
Crop Recommendation System using IoT
IoT-based solution that collects real-time agricultural data to provide optimal crop recommendations for maximum yield.
Stock Price Predictor
Machine learning model that analyzes historical stock data and market indicators to predict future price movements.
Publications
AI-Based Agriculture Recommendation
An intelligent system that provides personalized crop recommendations to farmers based on soil conditions, weather patterns, and market trends.
Medical Mask Detection Using CNNs
Computer vision system using convolutional neural networks to detect proper mask usage in public spaces for health compliance.
Medical Mask Detection Using CNNs
Computer vision system using convolutional neural networks to detect proper mask usage in public spaces for health compliance.
Professional Journey
Software Engineer
Zensar Technologies
Working full time
ML internship
Samsung Prism
• Enhanced machine learning workflows with advanced feature engineering techniques, reducing model training time by 20%. • Implemented and fine-tuned multiple machine learning algorithms for higher predictive accuracy in system health monitoring. • Leveraged computer vision techniques for image data processing and analysis, optimizing convolutional neural networks for image-based models.
Freelance
Fiverr
• Collaborated with various clients on web application development projects, utilizing React.js and Next.js to create dynamic, user-friendly interfaces. • Delivered high-quality solutions tailored to client needs, ensuring optimal performance and responsiveness.
Inten
Dubbtr
Developed and deployed machine learning models for natural language processing applications.
Education
M.Tech
Data Science
KCT Collage of Technology
Focused on advanced machine learning algorithms, big data analytics, and completed a thesis on predictive modeling in financial markets. Key coursework included Deep Learning, Natural Language Processing, and Data Visualization.
B.Tech
Information Technology
SKCET
Gained a strong foundation in core computer science principles, software development, and database management. Actively participated in coding competitions and contributed to open-source projects.