Applied AI โข Automation โข Data
Hi, Iโm Vinod M ๐ AI Engineer(Entry level)
Building applied AI, automation, and data-driven systems to solve real-world problems.
I am an MCA graduate with hands-on experience in applied AI through self-initiated projects and internships. My focus is on building intelligent, production-oriented solutions that combine data, models, and software engineering.
I prefer practical, real-world use cases over theory alone, and I enjoy turning ideas into usable AI-powered systems that solve real problems.
Current Focus
Applied AI โข WhatsApp Automation โข CV Pipelines
About Me
Vinod M
AI Engineer (Entry-Level)
I am an entry-level AI Engineer with a strong interest in applied machine learning and intelligent automation.
I completed my MCA with a focus on AI, data structures, and software development, and I have worked on multiple real-world projects involving NLP, computer vision, and analytics.
Instead of limiting myself to theoretical learning, I actively build end-to-end systems โ from data processing and model development to APIs and dashboards.
"I believe that AI is most valuable when it is practical, explainable, and usable in real business scenarios."
I am currently seeking an entry-level AI/ML/Data-focused role where I can learn from experienced engineers, contribute to real products, and grow into a strong applied AI professional.
Tech Stack
Full-stack AI Engineer building production systems
AI & Machine Learning
- Machine Learning (Supervised & Unsupervised)
- Feature Engineering
- Model Evaluation & Optimization
Applied AI
- Natural Language Processing (NER, Text Classification, Chatbots)
- Computer Vision (Object Detection, Tracking, Speed Estimation)
- OCR & Document Intelligence
Data & Analytics
- Python (Pandas, NumPy)
- Data Analysis & Visualization
- Statistical Analysis
Engineering & Tools
- Python
- FastAPI
- Git & GitHub
- Streamlit
- REST APIs
- Basic Deployment Concepts
Featured Projects
Real-world applied AI systems I've built from scratch
AI-Powered WhatsApp Business Automation
An intelligent WhatsApp automation system designed to handle customer queries, bookings, reminders, and human handover using NLP and rule-based logic.
Problem
Small businesses struggle to respond to customer messages efficiently and consistently.
Solution
Built an AI-assisted automation workflow that classifies user intent, responds automatically, and escalates complex cases to humans.
Intelligent Document Key-Value Extraction System
A transformer-based NLP system to extract structured information from unstructured documents such as invoices and forms.
Highlights
- Named Entity Recognition
- OCR integration
- Structured JSON output
Object Detection and Speed Estimation System
A computer vision pipeline to detect, track, and estimate the speed of moving objects in video streams.
Highlights
- Real-time object tracking
- Zone-based speed calculation
- Accuracy analysis
Experience
Hands-on applied AI experience through internships and self-initiated projects
Self-Initiated Projects
2024 - Present
Designed and built multiple applied AI projects to simulate real-world business and engineering problems, focusing on system design and usability.
- WhatsApp AI Business Automation (NLP + FastAPI)
- Document Intelligence System (Transformers + OCR)
- Computer Vision Pipeline (Object Detection + Speed Estimation)
AI / Data Intern
Internship Experience
Worked on NLP models, data validation, analytics dashboards, and AI-assisted automation tasks.
- Contributed to improving data accuracy and building dashboards
- Experimented with applied AI models for real business use cases
- Developed automation workflows and data processing pipelines
Master of Computer Applications (MCA)
Academic Foundation
Completed MCA with specialization in AI, data structures, software development, and database systems.
- Strong foundation in algorithms, data structures, and system design
- Hands-on coursework in machine learning, databases, and web development
- Capstone projects focused on practical AI applications
AI Product Lab
Side projects where I experiment with applied AI concepts through real-world automation
Active Experiments
โน๏ธ Side Initiative
This is a learning lab for experimentation, not a full-time startup. Focused on bridging academic concepts with production-ready systems.
Alongside my learning and job preparation, I maintain a small AI product lab where I experiment with applied AI concepts through real-world automation and product ideas.
Learning-by-Building
Testing ideas through complete systems
Practical Focus
Real-world use cases over theory
Production Ready
APIs, dashboards, deployment
Business Value
Solving SMB automation problems
"These projects help me bridge the gap between academic concepts and production-ready systems."
Visit AI Product LabLet's Connect
I am actively looking for entry-level opportunities in AI, Machine Learning, and Data-related roles.
Get In Touch
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Contact Information
GitHub
github.com/Vinodvinum