I'm Prasanna B, a Python Developer and AI/ML Engineer dedicated to building intelligent automation, vision-language applications, and full-stack software interfaces.
Python Developer | AI & ML Engineer
I'm a Python Developer at Creative Bees and former Robotics Engineer at Robomatic, building end-to-end intelligent systems. From Next.js dashboards and Flutter mobile apps to IoT prototypes, VLM card readers, WhatsApp CRM bots, and image AI, I bridge the gap between software, hardware, and practical AI workflows.
My core stack includes Python, Next.js, Flutter, TensorFlow, LangChain, FAISS, VLM/OCR pipelines, Arduino programming, ESP32, Arduino Uno R3, PCB prototyping, and agentic AI tools. I'm passionate about turning research into practical, deployable products.
Building domain-specific chatbots and Q&A systems with LangChain, FAISS, Gemini API, and RAG pipelines.
Real-time image recognition, face detection, liveness detection, and object classification using OpenCV and TensorFlow.
Text classification, NER, summarization, and document intelligence using spaCy, Transformers, and Hugging Face.
End-to-end ML pipelines - EDA, feature engineering, model training, evaluation, and data visualization with Power BI.
Building web and mobile products with Next.js, React, TypeScript, Flutter, iOS, Android, REST APIs, and backend integrations.
Arduino programming, ESP32, Arduino Uno R3, sensor integration, IoT workflows, PCB concepts, and hardware prototyping.
Sathyabama Institute of Science and Technology, Chennai
Tamil Nadu State Board
Select a business workflow below to compare standard execution against agentic solutions.
Manually checking emails, updating calendars, scheduling tasks, and copy-pasting code fragments.
Nami Agent autonomously maps calendar requests, logs actions, and guides coding workflows.
Architecting from multi-modal LLM frameworks and computer vision models to modern, scalable full-stack web systems.
Core scripts and structural code execution engines.
Retrieval pipelines and automated cognitive agents.
Image classification and language sequence parsing.
Training neural topologies and predictive data models.
Exploratory statistics and analytical reporting.
Interactive cross-platform client view layers.
Embedded microcontrollers and circuit architecture.
Work environment automation and containers.
A journey focused on engineering intelligence, automating high-friction workloads, and training production ML pipelines.
A showcase of production-ready AI products across agentic assistants, vision models, document intelligence, and data analytics.
An agentic AI assistant for calendar workflows and development support, designed as a testable foundation for user-facing automation.
A mobile-first vision-language workflow for reading visiting cards, extracting contact data, and turning physical cards into CRM-ready records.
Image editing pipeline for automotive use cases: change car colors, clean messy photos, and generate studio-level vehicle presentation images.
A voice AI workflow focused on speaker cloning, clean dataset preparation, and natural speech generation for product demos and assistants.
A conversational CRM workflow for capturing leads, answering first-level queries, updating customer records, and escalating qualified requests.
A production-grade real-time attendance system that leverages face recognition combined with CNN-based liveness detection to completely prevent spoof attacks.
An intelligent legal chatbot that answers complex IPC (Indian Penal Code) and Constitution of India queries with source-level document retrieval powered by RAG architecture.
A GenAI-powered personalized learning assistant that enables students to query textbooks, generate summaries, and create custom quizzes from uploaded PDF study materials.
A complete end-to-end ML regression pipeline to predict housing prices with advanced feature engineering, PCA-based dimensionality reduction, and thorough model comparison.
A data-driven stock analysis application with web scraping from Screener.in, ML-based pattern analysis, and interactive dashboards to enhance investor decision-making.
An R-based data science project using Naive Bayes classification to predict student job placement outcomes from academic and extracurricular features with 85% accuracy.
Automatically updated with my latest GitHub contributions.
Have a project, job opening, or collaboration proposal in mind? Reach out and let's turn agentic AI concepts into production realities.
Based in Coimbatore, Tamil Nadu, India. Open to remote opportunities worldwide and hybrid/on-site arrangements.