Python Developer & Aspiring Machine Learning Engineer
B.Tech Artificial Intelligence student specializing in Python development and Machine Learning. I am actively engaged in building competencies across core AI technologies.
I am a B.Tech AI student with a solid foundation in Python development, algorithmic thinking, and the core domains of Machine Learning. I’m deeply interested in building efficient, scalable solutions that combine clean code practices and modern AI techniques.
Beyond AI, I also work as a backend and full-stack developer, creating web applications powered by Python. I handle server logic, database integration, API development, and UI implementation—ensuring each application is complete, responsive, and production-ready.
I’m driven by a desire to learn fast, build smart, and contribute to impactful projects. I enjoy working on ideas that challenge me and inspire growth in both technical and creative ways.
Building Python-based applications for automation, data processing, analytics, and various practical use cases, with a focus on clean and efficient execution.
Creating complete web and application solutions by combining responsive front-end interfaces with powerful Python-based backend architectures.
Designing and training machine learning models, and building RAG-powered intelligent systems that combine retrieval, reasoning, and automation to solve real-world problems.
Designing ETL pipelines and data architectures to extract, clean, and transform large-scale data, with a focus on extracting insights and uncover patterns.
A Python-powered Discord bot handling music operations, moderation, and utility commands with persistent backend hosting.
A full-stack AI voice assistant powered by Google Gemini API, enabling real-time voice interaction and intelligent responses.
A Python-based timetable generation system that automatically creates academic schedules while preventing staff conflicts through priority-based rules.
An automated result retrieval system that processes large batches of student results with a database backend and a dashboard for viewing results.
An intelligent testing platform that analyzes code changes via AST diffing, uses ML models to flag code issues, and an LLM to generate feedback and reports.
A Data Loss Prevention system using regex and hybrid NLP to detect sensitive data like credentials and flag potential exposure.
A RAG-based academic platform pairing a full-featured web app for assignments, code evaluation, and an AI chatbot with a companion mobile app for quick results and chat access.
Open to collaborations, discussions, and new ideas. Message me anytime.
Mail :
kmohnakumarbtech@gmail.com
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