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Krips Javiya

@kripsjaviya

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Aspiring software developer specializing in AI and data science.

India

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can contribute to impactful projects and grow my skills in AI and software development.

I am a dedicated software developer with a strong foundation in Artificial Intelligence and Data Science, currently pursuing my B.Tech at A. D. Patel Institute of Technology. My experience includes enhancing Odoo's core Python backend framework and developing predictive systems that leverage machine learning for business optimization. I thrive on challenges and am passionate about creating innovative solutions that drive efficiency and accuracy.

During my internship at the Defense Research and Development Organization, I successfully improved EEG data analysis accuracy by 25% through advanced preprocessing techniques and neural network optimization. My projects, such as implementing a Generative Adversarial Network for image generation and developing a gold price prediction model, showcase my ability to apply theoretical knowledge to practical applications, achieving significant improvements in performance and accuracy.

Experience

Work history, roles, and key accomplishments

Current

Software Developer Engineer

Current

Odoo

Jan 2025 - Present (11 months)

Enhanced Odoo’s core Python backend framework by customizing HTML field behavior during XLSX file imports, streamlining data ingestion, and ensuring high-fidelity mapping across modules. Developed and integrated a Naive Bayes-based Predictive Lead Scoring (PLS) system within the CRM module, estimating the probability of lead conversion based on historical won/lost data.

Django React XML Python HTML Naïve Bayes CRM Machine Learning Data Integration Backend Development

Summer Research Intern

Defense Research and Development Organization (ISSA-DRDO)

May 2023 - Present (2 years 7 months)

Preprocessed complex EEG datasets using Python, MNE library, and ML techniques, implementing data cleaning methods and quality checks that improved accuracy by 25% for brain signal analysis. Built and optimized neural network models for EEG data analysis through iterative testing and refinement, reducing processing time by 40% while increasing overall data accuracy by 25%.

Python MNE Machine Learning Neural Networks EEG Data Analysis data preprocessing ERP Systems Data Tracking Collaboration

Education

Degrees, certifications, and relevant coursework

A. D. Patel Institute of Technology

B.Tech, Artificial Intelligence & Data Science

2021 - 2025

Coursework included Object Oriented Programming (OPP), Data Structures and Algorithm, Python Programming, and Database Management Systems. Studied Artificial Intelligence, Project Management, Machine Learning, Data Science, Data Warehouse and Data Mining, Computer Vision and Image Processing, Probability and Statistic with Application, Deep Learning, and Natural Language Processing.