Programming
- Python
- Java
- JavaScript
- TypeScript
- C++
- SQL
AI · Software · Data Engineering
BandaruNithinkumar
Current role highlight
I design and ship intelligent systems that turn data into decisions — from ML pipelines and deep learning models to full-stack platforms. Clarity, performance, and production readiness guide every build.
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About
Engineer first. Builder always.
A short story of how I approach AI, software, and problem solving.
I'm Bandaru Nithinkumar — an AI & Data Science engineer who builds software that thinks and systems that scale.
My work sits at the intersection of artificial intelligence, software development, and data engineering. Whether it's training models for credit risk and medical imaging or shipping full-stack platforms like AlgoArena, I care about clean architecture, measurable results, and user-facing polish.
I thrive on problem solving — from competitive coding and hackathons to debugging production-shaped pipelines. I treat every project as an opportunity to sharpen fundamentals and ship something I'd be proud to demo in a real engineering interview.
- AI & Data Science
- Software Development
- Machine Learning
- Data Engineering
- Problem Solving
- Hackathons
- Competitive Coding
Journey snapshot
B.Tech — Artificial Intelligence & Data Science
Amrita Vishwa Vidyapeetham
Hackathon Participant & Builder
Campus & Open Hackathons
Competitive Coding & Problem Solving
LeetCode & Practice Platforms
Skills
Tools I use to ship
A practical stack spanning languages, frontend, backend, data, and ML.
Frontend
- React
- Next.js
- HTML
- CSS
- Tailwind CSS
Backend
- Node.js
- Express
- REST APIs
- JWT Auth
Databases
- MongoDB
- MySQL
- PostgreSQL
Machine Learning
- Scikit-learn
- PyTorch
- Pandas
- NumPy
- OpenCV
Developer Tools
- Git
- GitHub
- Docker
- VS Code
- Postman
- Jupyter
Cloud
- AWS
- Docker
- Vercel
- Cloud Foundations
Experience
Timeline
Education, hackathons, competitive coding, and continuous building.
- Education
B.Tech — Artificial Intelligence & Data Science
Amrita Vishwa Vidyapeetham
Pursuing a rigorous curriculum covering machine learning, deep learning, data engineering, algorithms, and full-stack software development. Building production-minded projects across ML and systems.
- AI
- Data Science
- Software Engineering
- Hackathon
Hackathon Participant & Builder
Campus & Open Hackathons
Competed in and contributed to hackathon projects spanning AI applications, full-stack platforms, and rapid prototyping — shipping demos under tight deadlines with clear problem framing.
- Hackathons
- Rapid Prototyping
- Teamwork
- Achievement
Competitive Coding & Problem Solving
LeetCode & Practice Platforms
Consistent practice in data structures and algorithms with a focus on clean solutions, complexity analysis, and interview-ready problem solving.
- DSA
- Algorithms
- Problem Solving
- Experience
Open Source & Personal Projects
GitHub @nithin1024
Maintaining a growing portfolio of ML notebooks, Java systems, and full-stack applications — from online judges to credit risk models and medical imaging classifiers.
- Open Source
- ML
- Full Stack
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Certificates
Credentials & learning
Formal coursework and cloud foundations that complement hands-on engineering.
IBM Data Science Professional Certificate
IBM ·
Comprehensive program covering data analysis, Python for data science, machine learning fundamentals, and applied data science methodology.
- Python
- Data Analysis
- Machine Learning
- Visualization
AWS Academy Cloud Foundations
Amazon Web Services ·
Foundational cloud computing concepts including AWS core services, security, architecture, pricing, and cloud economics.
- AWS
- Cloud Computing
- Architecture
- Security
Artificial Intelligence Fundamentals
Professional Certification ·
Covered AI foundations including supervised learning, neural networks, model evaluation, and responsible AI practices.
- AI
- Neural Networks
- Model Evaluation
- Ethics
Achievements
Milestones that matter
Selected outcomes from ML research, platform building, and open-source growth.
81% Accuracy — Credit Risk Model
2024Built a Random Forest credit risk pipeline with SMOTETomek balancing that achieved 81% predictive accuracy on imbalanced loan data.
AlgoArena Online Judge
2026Designed and implemented a Docker-sandboxed online judge platform for competitive programming practice.
Medical Imaging Deep Learning
2025Developed multi-class cancer classification comparing CNNs and Vision Transformers with rigorous evaluation.
22+ Public Repositories
2026Maintained a diverse GitHub portfolio spanning ML research, Java systems, and full-stack web applications.
Tech Stack
Everyday engineering stack
Languages and frameworks I reach for when building AI systems and full-stack products.
Language
Python
Java
JavaScript
TypeScript
C++
Frontend
React
Next.js
Tailwind CSS
Backend
Node.js
Express
Database
MongoDB
MySQL
ML
PyTorch
Scikit-learn
Cloud
AWS
DevOps
Docker
Tools
Git
Education
Academic foundation
Formal training in Artificial Intelligence & Data Science with a systems-minded approach to software.
B.Tech in Artificial Intelligence & Data Science
Amrita Vishwa Vidyapeetham
Bengaluru, Karnataka, IndiaStatus: Pursuing
- Core focus on ML, deep learning, and data engineering
- Strong foundation in algorithms and software systems
- Hands-on projects in computer vision and predictive modeling
- Active participation in hackathons and coding practice
Resume
Curriculum vitae
Download a PDF copy or preview the latest resume inline.
Bandaru Nithinkumar — Resume
PDF · Updated for 2026
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Let's build something
Open to internships, collaborations, and interesting engineering problems.
Connect directly
Prefer socials or email? Reach out through any of these channels — I typically respond within a day.