Python
Languages & Systems
AI / ML Engineering · Data Strategy · Automation
Building reliable Intelligent Systems that move products from prototype to production.
I architect ML pipelines, automate data workflows, and translate business signals into measurable models. Currently partnering with teams to ship AI features with confidence and clarity.
12+
Deployed Projects
Computer Vision · NLP · Automation · Java · Database · Python6
Leadership Initiatives
Team mentoring & delivery ownership4
Certifications
Infosys Springboard · PowerBI · Data Analytics · IoT Workshop · International Research Paper at VCITA little bit about my journey.
“Hey, I'm Mithun Kulal, a Python and Machine Learning developer with a strong background in data analysis and intelligent system design. I enjoy turning complex data into actionable insights and developing real-world applications using Python, Flask, TensorFlow, and C++.”
“My strength is timely completion of projects along with optimum resource utilization.”
“Currently pursuing my MCA, I’ve led multiple academic and internship projects in ML and automation.”
Building models with optimal accuracy and efficiency.
Optimizing time, Performance and resource utilization.
Technologies I work with.
Comfortable across scripting, compiled, and data query stacks.
Languages & Systems
Languages & Systems
Languages & Systems
Languages & Systems
Languages & Systems
Frameworks, libraries, and platforms I rely on in delivery.
ML & Data
ML & Data
ML & Data
ML & Data
ML & Data
ML & Data
Tools & Frameworks
Tools & Frameworks
Tools & Frameworks
A selection of my work.
A ML model that predicts AQI with emphasis on PM 2.5 levels, paired with a GUI for user-friendly exploration.
Linear regression based model that estimates housing prices using minimal features and clean exploratory notebooks.
Desktop utility built with Java Swing that creates secure passwords with customizable length and character sets.
K-Means clustering workflow with Streamlit dashboard that groups customers by purchasing patterns.
SVM-based image classifier trained on cat/dog datasets reaching 78% accuracy with focused feature engineering.
Deep learning pipeline leveraging OpenCV to interpret hand gestures for intuitive human-computer interaction.
CNN-powered recognizer that identifies dishes and estimates calories to support nutritional tracking.
Secure anti-ragging feedback form with an admin interface for reviewing submissions in real time.
Lightweight local HTTP server with GUI controls for quick file sharing and request inspection.
Python desktop app that converts text to Morse code and decodes Morse signals back to readable text.
Utility that parses ChatGPT exports to visualize token consumption, costs, and other useful session stats.
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