KUMAR SAHIL

Full-Stack Developer | AI Enthusiast
Deoghar, IN.

About

Highly energetic and forward-thinking Full-Stack Developer with a robust foundation in backend systems, frontend technologies, and AI integration. Proven ability to architect and deploy scalable web applications and implement ML-driven solutions that drive significant user engagement and operational efficiency. Adept in Java, Spring Boot, React, Python, and agile methodologies, passionate about solving complex problems and delivering impactful products.

Work

CourseKhoj
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Software Engineering Intern

Deoghar, Jharkhand, India

Summary

Led the development and optimization of a scalable social media analytics platform, significantly enhancing user engagement and system efficiency.

Highlights

Architected and developed a scalable social media analytics platform using Java and SQL, driving a 60% increase in user engagement.

Optimized over 30 reusable backend components, enhancing data processing efficiency by 120%.

Coordinated and led a 3-developer team, accelerating feature delivery speed by 30% through streamlined release processes.

Integrated critical APIs and established robust CI/CD pipelines, resulting in a 20% reduction in deployment time.

ABP News
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Editorial Analytics Intern

Deoghar, Jharkhand, India

Summary

Automated content analysis and developed social media metrics tools to enhance online readership and optimize article strategy.

Highlights

Automated content analysis workflows, which contributed to a 25% increase in online readership.

Developed and implemented social media metrics tools, successfully boosting user engagement by 15%.

Utilized data analytics to refine article strategy, leading to a 20% improvement in engagement metrics.

Education

JIS College of Engineering
Kalyani, West Bengal, India

B.Tech

Electronics and Communication

Grade: 8.9 CGPA

St. Francis School Deoghar
Deoghar, Jharkhand, India

XII (ICSE)

General Education

Grade: 82%

St. Francis School Deoghar
Deoghar, Jharkhand, India

X (ICSE)

General Education

Grade: 88%

Awards

LeetCode Contest Rating

Awarded By

LeetCode

Achieved a LeetCode Contest Rating of 1400, placing in the Top 8000 globally, having successfully solved over 500 programming problems.

CodeChef Rank

Awarded By

CodeChef

Secured a CodeChef Rank of 1263 out of 30000 participants, demonstrating strong competitive programming skills.

National Level Kabaddi Player

Awarded By

National Sports Federation

Represented at the national level as a Kabaddi player, demonstrating leadership, teamwork, and discipline.

Smart India Hackathon Finalist

Awarded By

Smart India Hackathon

Recognized as a finalist in the Smart India Hackathon, a national-level competition for innovative solutions.

TVS Credit EPIC Finalist

Awarded By

TVS Credit

Achieved finalist status (Top 17 out of 50,000+ participants) in the TVS Credit EPIC competition, showcasing exceptional problem-solving and innovation.

Publications

Research paper on Intelligent Fall Detection System

Published by

IJIRT

Summary

Authored and published a research paper in IJIRT detailing the design and performance of an intelligent fall detection system achieving 99% accuracy.

Skills

Programming Languages

Java, Python, C, JavaScript, HTML5, CSS.

Frameworks & Libraries

Spring Boot, React, Node.js, Tailwind CSS.

Databases & Tools

MySQL, MongoDB, Supabase, Docker, Git, Vercel, Figma.

Concepts

Data Structures & Algorithms, OOP, Multithreading, REST APIs, Agile, Scrum.

AI/ML

Scikit-learn, Pandas, Matplotlib, Seaborn, NLP, KNN, Decision Tree, Deep Forest.

Projects

Medical Chatbot Development

Summary

Developed an AI-powered medical chatbot capable of disease prediction, image processing for medical diagnostics, and appointment booking.

Link Saver – Full-Stack Bookmarking App

Summary

Developed a full-stack bookmarking application with real-time user authentication and AI-powered summarization features.

IND-AIR: Intelligent Fall Detection System

Summary

Designed and developed an intelligent fall detection system with high accuracy, featuring rapid activation and a published research paper.

Ad Expenditure and Voting Trends Analysis

Summary

Built a predictive model to analyze the impact of ad spending on election outcomes, processing large datasets and generating insightful visualizations.