Shanukumar Singh Profile

SHANUKUMAR RAMNIVAS SINGH

Software Developer | Full Stack Developer | Android App Developer


Mumbai, Maharashtra, India shanusingh2409@gmail.com +91 8928673265

Profile

Results-driven Software Developer with expertise in Flutter, Full Stack Web Development, and AI/ML integration. Experienced in building and deploying scalable, cloud-native applications with real-time capabilities, secure APIs, and modern DevOps practices (AWS, Docker, CI/CD). Proven impact on projects serving 10M+ users, improving efficiency, automation, and user experience across industries.

Education

B.Sc. Information Technology

Thakur College of Science and Commerce 2021 - 2024 CGPA: 8.86/10

HSC

Thakur Vidya Mandir High School & Junior College 2019 - 2021 Percentage: 68%

SSC

Maharashtra State Board 2010 - 2019

Skills

  • Programming: Python, Java, C/C++
  • Kotlin, JavaScript, TypeScript
  • HTML, CSS, SQL
  • Frontend: React.js, Next.js, Redux
  • Tailwind CSS, Bootstrap, Figma
  • Backend: Node.js, Express.js
  • NestJS, Django, FastAPI, Prisma
  • Mobile: Flutter, Kotlin
  • React Native
  • Databases: PostgreSQL, MongoDB
  • Redis, SQL
  • Cloud & DevOps: AWS, Docker
  • Google Firebase, Git, GitHub
  • GitHub Actions, CI/CD
  • AI/ML & Automation: NLP
  • Selenium, Image Processing, YOLOv8
  • OpenCV
  • Soft Skills: Problem Solving

Languages

  • English
  • Hindi
  • Spanish

Interests

Coding
AI/ML
Open Source
Fitness
Music
Traveling

Experience

Software Developer

Advance Mobility Pvt. Ltd | Feb 2025 - Present

Engineered AI-powered web and mobile apps using Flutter, Next.js, and Python, increasing workflow efficiency by 40% through intelligent automation. Optimized Nest.js backend architecture, reducing API load time by 40% and improving overall application performance.

Software Developer

Shrameco Pvt. Ltd | Jul 2024 - Feb 2025

Built scalable dashboards and data processing algorithms, improving client decision-making efficiency by 40%. Developed comprehensive CSR software solutions for corporate clients.

Flutter Developer

Naayatrade Pvt. Ltd | Apr 2024 - Jul 2024

Improved a cross-platform e-commerce app using Flutter and Next.js, enabling 2,000+ daily transactions and improving order processing efficiency by 40%. Enhanced CI/CD pipelines for release reliability.

Software Developer Intern

Filament AI | Apr 2023 - Dec 2023

Led AI-driven web applications using YOLOv8 and OpenCV, achieving 95% object detection accuracy. Processed live video streams from CCTV cameras. Integrated interactive dashboards with upgraded UI/UX, improving user engagement by 45%.

Projects

AI Model for Fire, Safety, and Intrusion Detection

Artificial Intelligence Project

Enhanced AI models for real-time detection using Python, Next.js, and AWS, enabling scalable and efficient data processing for production environments. Architected the core infrastructure for analytics services, ensuring high availability, robust security, and seamless scalability.

E-Commerce B2B Mobile App

Mobile Development Project

Developed and deployed a Flutter-based e-commerce platform with Node.js and MongoDB backend, integrating real-time order tracking, payment gateways, and authentication systems. Handled deployment and DevOps automation to streamline operations.

IoT-Based Fleet Tracking & Logistics Optimization

IoT & Logistics Project

Built comprehensive IoT solutions for real-time vehicle tracking and route optimization, automating driver/vendor operations and improving logistics efficiency by 35%.

Certifications

  • Flutter for Android & IOS Application (Udemy)
  • Full Stack Web App with Next.js (Udemy)
  • Machine Learning Models (Kaggle)
  • Django Backend Development (Udemy)
  • Computer Vision with Python (Kaggle)
  • React.js using TypeScript (Udemy)
  • Getting Started with Blockchain & Solidity (Udemy)

Research

Plant Disease Detection using YOLOv8

AI/Computer Vision Research

Formulated YOLOv8-based model achieving 100% accuracy on healthy leaves and strong performance on six common diseases.

The Influence of Entertainment Consumption on Student Well-being

Data Science & Analytics Research

Applied K-Modes and GMM to analyze stress patterns and create mental health guidelines. Explored preferences, motivations and stress relief mechanisms.

A Comprehensive Study On Data Privacy Awareness In Diverse Indian Sectors

Data Privacy & Awareness Study

Analyzed 1,400+ responses to identify awareness gaps and propose national privacy literacy guidelines across various sectors.

Balancing Act: Assessing the Impact of AI Tools on Active Learning in IT Practical Labs

Education & AI Research

Conducted mixed-method study with 561 students using K-Means & DBSCAN to assess AI dependency and learning outcomes in practical education.