Open to opportunities

Alen K Aji

@alenkaji

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Computer Science student building scalable Python and web solutions with ML focus.

India

Message

What I'm looking for

I want to contribute to impactful AI/ML and web projects in dynamic environments, working in agile teams. I’m looking for opportunities where I can build, deploy, and iterate on scalable, test-driven solutions.

I’m a Computer Science student with experience building scalable software using Python, Java, and web technologies. I focus on clean code, agile workflows, and test-driven development to deliver reliable results in fast-moving teams.

Through AICTE-Edunet Foundation, I engineered and deployed EfficientNetV2-B0 models for image classification, reaching 98% accuracy and reducing deployment latency. At ReverTech IT Solutions, I designed flood prediction models with 94% accuracy and cut model complexity by 30% using recursive feature elimination and pipeline tuning.

I build real-world ML products through projects like a self-evaluating RAG system (30% improvement in answer accuracy/consistency) and LeafScan, a real-time plant disease detector using MobileNetV2 and Streamlit (91% accuracy). I’m eager to contribute to impactful projects in dynamic environments where I can keep learning and shipping.

Experience

Work history, roles, and key accomplishments

Current

TNP Volunteer

Current

Mace - TNP

Jul 2024 - Present (1 year 11 months)

Volunteered with the Training and Placement Cell (TNP), supporting ongoing campus placement activities and related coordination work.

Volunteer Coordination Communication Team Collaboration Process Support

Artificial Intelligence Intern

AICTE Edunet Foundation

Jun 2025 - Jul 2025 (1 month)

Engineered and deployed EfficientNetV2-B0 models for image classification, achieving 98% accuracy on an e-waste dataset while reducing deployment latency using lighter CNN variants.

EfficientNetV2 B0 CNN Optimization Deep Learning

Sponsorship Team Lead

ENCIDE

Jan 2024 - Jun 2024 (5 months)

Led the sponsorship team for ENCIDE, coordinating sponsorship efforts and supporting team execution across timelines.

Sponsorship Team Leadership event support Communication Planning Execution

Machine Learning Intern

ReverTech IT Solutions

Jan 2025 - Present (1 year 5 months)

Built flood prediction models using Gradient Boosting, reaching 94% accuracy and reducing model complexity by 30% via recursive feature elimination and pipeline tuning.

Flood Prediction Gradient Boosting Recursive Feature Elimination Pipeline Tuning Machine Learning