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Shriyash Mhatre
AI/ML Engineer turning ideas into intelligent solutions.
Overview
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About
Hello, World! I am Shriyash Mhatre — an AI/ML Engineer passionate about building high-performance, intelligent systems that solve real-world problems.
I specialize in developing deep learning, generative AI, and computer vision solutions, with hands-on experience in PyTorch, TensorFlow, and full-stack integration using Python, Next.js, and TypeScript. My projects range from GAN-based image generation to NLP-powered automation tools.
Some key highlights:
- PrivGuard — An AI-based redaction tool using NLP/ML for anonymizing sensitive data in documents, PDFs, and images.
- Guidevance — A GNN-powered model that creates personalized learning roadmaps for programmers.
I’m deeply committed to open-source contributions, constantly learning cutting-edge technologies, and pushing the limits of what AI can do.
Let’s collaborate and create something extraordinary!
Stack
Experience
Jawaharlal Nehru Port Authority
- Collaborated with senior developers to design and develop efficient software systems for large-scale internal operations.
- Focused on improving system performance, reliability, and maintainability in a government infrastructure environment.
- Contributed to feature development, debugging, and optimization of existing systems.
- Worked on solving real-world operational challenges, enhancing system efficiency and workflow automation.
- Gained hands-on experience in scalable architecture and enterprise-level software development practices.
- Software Development
- System Optimization
- Problem Solving
- Scalable Systems
- Debugging
- Performance Tuning
- Team Collaboration
Future Interns
- Developed end-to-end machine learning and analytics solutions using Python on real-world datasets.
- Performed data preprocessing, feature engineering, and statistical analysis to extract meaningful insights.
- Built models for sales analytics, churn prediction, and marketing funnel optimization.
- Transformed raw data into actionable insights to support data-driven decision-making.
- Improved business understanding through predictive modeling and trend analysis.
- Machine Learning
- Python
- Data Analysis
- Feature Engineering
- Predictive Modeling
- Statistical Analysis
- Data Visualization
Kumar Milk Distributors
- Designed and developed a full-fledged AI-integrated web application to streamline operations for Kumar Milk Distributors.
- Automated inventory tracking, order management, and billing workflows using intelligent algorithms to minimize manual effort.
- Implemented real-time data dashboards with React and Node.js, improving decision-making and operational transparency.
- Integrated custom AI modules for demand forecasting and route optimization, enhancing delivery efficiency by 30%.
- Delivered a production-ready system deployed on a secure, scalable infrastructure with smooth UI/UX and high performance.
- AI Integration
- Full-Stack Development
- Automation
- React
- Node.js
- Data Visualization
- Demand Forecasting
- Scalable Architecture
Celestial Lights
- Developed and deployed a full-stack website end-to-end using Next.js, React, and TypeScript.
- Managed domain setup, Vercel hosting, and production deployment, ensuring a smooth launch.
- Improved page load speed by 28% and reduced deployment/maintenance effort by 35% through automation and optimization.
- Enhanced site responsiveness and accessibility by 40%, creating a scalable solution for future growth.
- Delivered a production-ready website that improved client credibility, visibility, and overall user experience.
- Full-Stack Development
- Web Development
- Responsive Design
- Next.js
- React
- Vercel
- Scalable Web Solutions
Celestial Lights
- Built and launched a responsive company website to showcase products and boost online presence.
- Collaborated with the team to align design, functionality, and branding.
- Focused on performance, SEO, and mobile optimization.
- Web Development
- Responsive Design
- SEO
- Performance Optimization
Intellect Technologies
- Led a team of 4 developers on a Python-based project.
- Applied problem-solving skills, coding best practices, and project management.
- Gained hands-on experience in software development, leadership, and teamwork.
- Python
- Team Leadership
- Problem-solving
- Project Management
Academic Projects
Education
Positions of Responsibility
Projects(3)
An advanced AI-powered redaction engine designed to detect and anonymize sensitive information across text, images, and PDFs using a unified multi-model pipeline.
- 🔍 Built a hybrid detection system combining NLP, Computer Vision, and OCR for identifying PII, faces, and license plates
- 🧠 Implemented deep learning models (YOLOv8, EAST, Transformers) for high-accuracy detection across structured and unstructured data
- 📄 Enabled redaction for both text-based and scanned PDFs using OCR + regex validation pipelines
- 🎯 Designed a policy-driven architecture supporting flexible privacy modes (Face, PII, Plate, Identity-based filtering)
- ⚡ Optimized performance using selective detection and tracking strategies for scalable real-time processing
- 🛡️ Developed with privacy-first principles aligned with GDPR and HIPAA standards for secure data handling
- 📊 Generated automated redaction reports and statistics for auditing and compliance tracking
- AI/ML
- NLP
- Computer Vision
- PyTorch
- YOLOv8
- OCR (EasyOCR)
- Hugging Face Transformers
- PDF & Image Processing
GitHub Commits
Combined commits across all repos (Jan–Dec)
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Contribution trend across all repositories
Honors & Awards(2)
Certifications(3)
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