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lucifur Py

@lucifurpy

Aspiring AI/ML engineer with hands-on data annotation and privacy-first ML projects using Python and Power BI.

India
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What I'm looking for

I’m looking for a chance to grow as an AI/ML engineer, contributing to data labeling quality and analytics, while building privacy-aware models with mentorship and real-world impact.

I’m an AI/ML-minded computer science engineer (B.E in Computer Science(AIML)) who likes turning data into reliable decisions—whether through analytics, secure ML, or practical model deployment.

Right now, I’m working as a Trainee Engineer Intern (Data Annotation) at Arctictern Solutions Pvt Ltd. I’ve annotated 1,000+ images for machine learning and AI training datasets, maintaining 95+ labeling accuracy through rigorous quality checks. I also contribute to dataset preparation and validation to improve the reliability of AI model training data.

In my projects, I built Sales Insights on Power BI to visualize and analyze sales performance across regions using dynamic reports and key performance indicators (KPIs). I also created HomoPAI: a Secure Collaborative ML Platform using Homomorphic Encryption, enabling privacy-preserving collaborative training without exposing sensitive information during computation. For computer vision, I developed a Signature Verification System using a Siamese Convolutional Neural Network (CNN) with TensorFlow/Keras, reaching 94+ accuracy, and deployed it with Streamlit for real-time signature upload and secure identity verification.

I bring a careful, quality-focused mindset from data annotation and a privacy-first approach from HomoPAI. I’m also actively strengthening my foundations through certificates like SQL for Beginners and Intro to Data Science, and I’m interested in applying that knowledge to real-world AI systems.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

KT

KLS Vishwanathrao Deshpande Institute of Technology

Bachelor of Engineering, Computer Science (AIML)

2022 - 2026

Grade: 7.91/10

Studied for a Bachelor of Engineering in Computer Science (AIML) from 2022–2026, achieving a CGPA of 7.91/10.

SG

Sri Sathya Sai Loka Seva Gurukulam

Pre-University, Science Stream

2020 - 2022

Grade: 74.16%

Completed Pre-University studies (Science Stream) from 2020–2022 with a percentage of 74.16%.

SK

Sri Sathya Sai Divya Jyothi Vidya Kendra

Secondary School Leaving Certificate (SSLC), SSLC

2019 - 2020

Grade: 63.2%

Completed SSLC from 2019–2020 with a percentage of 63.2%.

Tech stack

Software and tools used professionally

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