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Aditi K

Aditi K

Software Engineering Postgraduate

Bengaluru, Karnataka
65
Profile Score

About

Results-driven Software Engineering Postgraduate skilled in Full-Stack Development, Core Java, SQL, and Deep Learning, focused on building scalable, data-driven solutions that enhance user experience.

Skills & Expertise (9)

ReactJS Intermediate
6.6/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
8
Demand
Node.js Intermediate
6.6/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
8
Demand
MongoDb Intermediate
6.6/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
8
Demand
Core Java Intermediate
6.3/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
6
Demand
JavaScript Intermediate
6.3/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
6
Demand
SQL Intermediate
6.3/10
2
Years Exp
5
Proficiency
4
Experience
10
Recency
6
Demand
Analytical Thinking Advanced
6.3/10
2
Years Exp
7
Proficiency
4
Experience
10
Recency
6
Demand
Team Collaboration Advanced
6.3/10
2
Years Exp
7
Proficiency
4
Experience
10
Recency
6
Demand
Communication Advanced
6.3/10
2
Years Exp
7
Proficiency
4
Experience
10
Recency
6
Demand

Work Experience

Trainee

KLETech. Samsung SEED, CEVI

06-2024 - 09-2024

Collected, cleaned, and analyzed datasets to identify trends and actionable insights, improving data accuracy by 30%. Designed and implemented a Deep Learning-based Automated Health Monitoring System using MobileNetV2 and EfficientNetB4, achieving 98% mask detection accuracy in real-time environments. Delivered analytical reports that enhanced project decision-making and operational efficiency by 20%. Collaborated in an Agile team to deploy scalable models for real-time classification and monitoring. Optimized model training and inference pipelines, reducing processing time by 30% and improving overall system responsiveness.

Trainee

KLETech. Samsung SEED, CEVI

06-2024 - 09-2024

Collected, cleaned, and analyzed datasets to identify trends and actionable insights, improving data accuracy by 30%. Designed and implemented a Deep Learning-based Automated Health Monitoring System using MobileNetV2 and EfficientNetB4, achieving 98% mask detection accuracy in real-time environments. Delivered analytical reports that enhanced project decision-making and operational efficiency by 20%. Collaborated in an Agile team to deploy scalable models for real-time classification and monitoring. Optimized model training and inference pipelines, reducing processing time by 30% and improving overall system responsiveness.

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 14/20
🎓 Education 0/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 65/100

Profile Overview

Member sinceJan 2026

Availability Details

Current Company

Other

Visa Status

No Visa

Relocation

Open to Relocation

Skills (9)

ReactJS Node.js MongoDb Core Java JavaScript SQL Analytical Thinking Team Collaboration Communication