Hello, I'm
AI DeveloperPython · Machine Learning · Computer Vision
CurrentlyArtificial Intelligence Intern, Yangtso Four Labs
Computer Science Engineering graduate and Artificial Intelligence Intern at Yangtso Four Labs, building AI and machine learning systems in Python — image classification with TensorFlow, Keras and OpenCV, and real-time AI over live sensor data.
I’m a B.Tech Computer Science graduate based in Kerala, India, currently an Artificial Intelligence Intern at Yangtso Four Labs. I build things across the stack — from scalable web applications to AI-driven IoT systems — and enjoy breaking monolithic ideas down into clean, efficient code.
On the AI side I work the full model lifecycle: preparing and processing image datasets, training and evaluating classifiers with TensorFlow and Keras, and wrapping them in an end-to-end prediction pipeline with OpenCV. Alongside the models I build the systems that feed them — Python backends, REST APIs and real-time pipelines streaming live ESP32 sensor data through Firebase into AI-based detection.
Skilled in Python, Java, Flutter, JavaScript and SQL, and familiar with Git, Firebase and TensorFlow, with experience collaborating on four-person project teams. Short term, I want to embed myself in real production workflows and become genuinely expert at writing clean, scalable code; longer term, as I deepen my grasp of system design, I see myself moving toward a technical architect role.
Image classification built end to end with TensorFlow, Keras and OpenCV — from dataset preparation to an automated prediction pipeline.
Python backends, data pipelines and prediction workflows, backed by SQL, REST APIs and Django.
Streaming live ESP32 sensor data through Firebase into an AI detection pipeline, over I2C and a real-time backend.
Systems built end to end — from ESP32 sensor integration and real-time data pipelines to model training and the Python that ties them together.
Major project pairing ESP32 sensor hardware with a Python backend and Firebase, streaming real-time physiological and behavioural data for AI-based learning disability detection.
Personal project: a Python machine-learning application that classifies blood smear images automatically, from dataset preparation through to an end-to-end prediction pipeline.
The same four steps behind every model I ship.
Collect, clean and label image and sensor data.
Build and train models with TensorFlow and Keras.
Measure accuracy, inspect failure cases, iterate.
Wrap models in Python pipelines and real-time backends.
Grouped by area, with an honest marker of how far each one has been taken.
Joined Yangtso Four Labs in Bengaluru as an Artificial Intelligence Intern, moving from academic AI work into production workflows.
Completed the B.Tech at College of Engineering Muttathara with a CGPA of 6.84/10.0 and no backlogs.
Five months building the major project with a four-person team: ESP32 sensor hardware, a Python backend and a real-time Firebase pipeline feeding AI-based detection.
Personal project: a TensorFlow, Keras and OpenCV pipeline that classifies blood smear images, from dataset preparation through to automated prediction.
Began the Computer Science Engineering degree, building the foundation in data structures, DBMS, operating systems and networks.
College of Engineering, Muttathara
Computer Science Engineering
CGPA: 6.84
Relevant Coursework: Data Structures, DBMS, Operating Systems, Computer Networks, Software Testing, Data Mining
SNGHSS Chempazhanthy
Science
Percentage: 88%
Sree Narayana Public School
CBSE
Percentage: 82%
Udemy
Udemy
NPTEL
SkillNation
SkillNation
SkillNation
SkillNation
SkillNation
The Analytical Engine weaves algebraical patterns just as the Jacquard-loom weaves flowers and leaves.
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Open to opportunities
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