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Aditya Raj
Aditya Raj
Designing reliable systems where algorithms, product, and execution converge.
Competitive Programming
Competitive Programming
Ratings at a glance on top, and contest-specific deep dives below.
2,000+
Problems Solved
LeetCode, CF, CSES, HackerRank
2,360+
LeetCode Rating
Guardian · Top 0.4% globally
2,131
Codeforces Rating
Master · Top 0.8% globally
2,101
CodeChef Rating
5★ · Ranked 470th in India
Contest Deep Dives
2360+
Contest Rating
LeetCode
Guardian
Achieved Guardian rank with 2360+ rating, consistently competing in weekly and biweekly contests. Solved 550+ problems across all difficulty levels.
View Profile01 / 06
Experience
Where I've Worked
Competitive Programmer
LeetCode, Codeforces & CodeChef
Mar 2024 – PresentTop 0.4% Global
- Achieved Guardian rank on LeetCode (Top 0.4% globally) and Master rank on Codeforces (Ranked 56 in India).
- Consistently solved complex algorithmic challenges under strict time constraints, mastering advanced data structures and dynamic programming.
Machine Learning Research Mentee
Amazon ML Summer School
Aug 2025 – Sep 2025< 5% acceptance
- Selected as one of ~3,000 participants globally out of 60,000+ applicants (acceptance rate < 5%).
- Studied ML fundamentals, neural networks, and practical applications through a curriculum designed by Amazon scientists.
Open Source Contributor
GirlScript Summer of Code (GSSOC)
Jun 2025 – Sep 2025Open Source
- Contributed to open-source AI projects, gaining experience with collaborative development practices and code review workflows.
- Developed web application features using Node.js and Python to improve user experience and performance.
Projects
Things I've Built
A clean grid for scanning quickly. Click any project to open a full detail overlay.
Skills
Technical Toolkit
A denser map of the tools, systems, and product instincts I actually reach for when building AI-heavy experiences.
Type-safe buildsAI workflowsProduct surfacesShip loopsAlgorithmic rigor
Core Stack
AI Product Systems
I design full-stack AI workflows that move from retrieval and prompting into interfaces people can actually use.
Next.js
TypeScript
Python
OpenAIRAG
Llama
GeminiPinecone
MongoDB
Node.js
Express
Azure
FastAPI
DockerLLM App Architecture92%
RAG Pipelines89%
API Orchestration90%
Expanded Focus
- Builds agentic and retrieval-backed experiences with measurable latency constraints.
- Combines product UI, backend wiring, prompt design, and deployment into one shipping loop.
- Prefers systems that feel fast, explain themselves clearly, and degrade safely.
Interface Layer
Frontend Motion
Interactive interfaces with strong type-safety, layered motion, and visual hierarchy that still stay shippable.
ReactNext.js
TailwindMotion
GSAP
FramerR3F
GitHubInteraction Design88%
Responsive UI91%
Performance Tuning84%
Expanded Focus
- Uses GSAP when scroll behavior needs precision rather than generic reveal presets.
- Builds interfaces that stay clear on mobile and still feel cinematic on desktop.
Server + APIs
Backend Systems
Production-minded services, auth flows, websockets, and data plumbing built for real traffic instead of demos.
Node.jsExpress
Socket.ioRBAC
OAuth
JWT
REST
Webhooks
Validation
API Design89%
Realtime Systems85%
Security Layers83%
Expanded Focus
- Comfortable with auth, validation, rate limiting, and event-driven backends.
- Optimizes for maintainable endpoints and clean contracts between client and server.
Search + Storage
Data + Retrieval
Vector search, semantic retrieval, analytics pipelines, and structured data flows that keep results useful under pressure.
MongoDBPinecone
Postgres
Pandas
PlotlyyFinance
SQL
Indexing
ETL
Telemetry
Semantic Retrieval88%
Data Modeling84%
Analytics Dashboards82%
Expanded Focus
- Balances relevance, latency, and observability when retrieval quality matters.
- Enjoys turning raw data into interfaces that show signal without clutter.
Problem Solving
Systems Thinking
Competitive programming habits show up in architecture: simplify the state space, reduce complexity, then optimize the bottlenecks.
DSA
Graphs
Math
Codeforces
LeetCode
CodeChefCSES
VJudge
Algorithmic Rigor95%
Debugging Speed91%
Optimization Mindset92%
Expanded Focus
- Comfortable reasoning about time complexity, edge cases, and failure paths quickly.
- Treats product implementation the same way: prove correctness, then sharpen performance.
Toolchain
Shipping Stack
The supporting layer that keeps projects moving from local builds to polished deployment and collaboration.
GitHub
Vercel
RenderCI/CD
Docker
StreamlitTesting
Automation
GitLinux
Deployment Flow86%
Version Control90%
Tooling Depth84%
Expanded Focus
- Keeps the boring parts fast: repo hygiene, deployment confidence, and iteration speed.
- Prefers setups that let product ideas ship without dragging developer velocity down.
Education
Academic Background
DIT University
B.Tech in Computer Science & Engineering
AI/ML Specialization
Apr 2023 – Present
8.41
/ 10.0 GPA
Key Coursework
AlgorithmsData StructuresMachine LearningDeep LearningComputer NetworksDBMS
Contributions
GitHub Graph
A visual representation of open-source consistency, contribution rhythm, and sustained coding habits.