7
Shipped Projects
AI Engineer / Full-Stack Developer
Open to freelance, and full-time rolesBuilding AI-integrated products with full-stack clarity.
I am Satyajit Samal, an M.E. AI student and product-focused engineer. I build practical software that balances interface quality, backend reliability, and grounded AI behavior.
M.E. in Artificial IntelligenceOpen to freelance projects, and full-time roles.Based in Chandigarh, India
Recruiter Fast Path
Satyajit
AI Engineer + Full-Stack Developer
Now Building
Portfolio AI Command Panel
Grounded recruiter/client assistant that answers with only verified portfolio context.
Current Direction
AI integration, API architecture, and high-trust product UX.
AI + Full-Stack
Core Stack
Role Fit
Frontend, full-stack, and applied AI product engineering roles.
Proof
Fast signals that establish trust
A quick recruiter/client view of shipped work, technical direction, and consistency.
7
Shipped Projects
Public web products and engineering experiments available to review.
AI + Full-Stack
Core Stack
Applied AI workflows with React/Next.js and Node-based product delivery.
Active
Research Track
Ongoing publication-oriented writing and implementation analysis.
Open
Availability
Open to freelance, and full-time opportunities.
GitHub Contribution Activity
Live calendar from @s-satyajit
Quick Links
Jump to profile proof, shipped projects, and recruiter-fit overview.
Homepage Project Spotlight
Selected project highlights
A focused set of builds that best represent my product thinking, engineering depth, and real-world execution.
full-stackLive
PayFlow - Full-Stack Payment Application
MERN payment workflow app with JWT auth, account management, fund transfers, account search, and transaction history.
Problem
Payment-style workflows often split auth, account data, and transfer operations across disconnected screens and weak API boundaries, making trust and usability difficult.
Why It Matters
Built a role-consistent product flow with protected APIs, JWT-based auth sessions, account lifecycle handling, transfer operations, and history visibility in a single dashboard-driven experience.
Highlights
- JWT-based sign up/sign in flow
- Create and manage multiple bank accounts
Architecture
- Client-server split with React frontend and Express backend
- JWT-protected API routes for non-auth operations
React (Vite)Node.jsExpressMongoDB AtlasJWTREST API
Use Case: Payment workflow simulationCore Strength: Auth + transactional API flow integration
Research & Publications
Research-driven analysis behind practical implementation
Publication-oriented entries connecting AI concepts to product decisions and system tradeoffs.
in-preparation
Grounding Patterns for Portfolio-Scale LLM Systems
Draft work on constrained prompting and structured grounding to reduce hallucination risk.
Read entrypreprint
Evaluation Framework for Practical AI Product Features
A framework for measuring utility, trust, and failure boundaries in applied AI features.
Read entryBlog / Insights
Implementation notes, architecture breakdowns, and engineering learnings
Articles focused on how products are designed and built, including tradeoffs and iteration decisions.
7 min read
Turning Research Thinking Into Product Decisions
A lightweight framework for using research-style reasoning in day-to-day software building.
Read entry6 min read
Building a Grounded Portfolio AI Assistant
How to make an AI portfolio assistant useful for recruiters without hallucinated claims.
Read entry5 min read
Shipping Dashboard UX That Operations Teams Can Actually Use
Lessons from designing dashboard interfaces that stay usable under real data load.
Read entryCase Studies
Case-study analysis from real product contexts
Structured writeups covering problem framing, options considered, and implementation outcomes.
analysis
Breast Cancer - AI Analysis Case Study
No single model family is universally optimal; reliable outcomes require dataset-aware modeling, clear validation strategy, and explainability-first review.
Read entryanalysis
Partial Order Relations in Hierarchical AI Systems
Partial-order modeling provides a strong structural lens for hierarchy-aware AI design, but practical scalability and dynamic updates remain active challenges.
Read entryanalysis
Decentralized Esports Scheduling - Graph Optimization Case Study
Optimization quality depends on explicit constraint modeling; travel minimization is achievable when feasibility logic is embedded into the search process.
Read entryAbout
Background, experience, and engineering direction
I started with full-stack development and built around a year of hands-on experience while moving deeper into AI and intelligent systems. Right now, I'm focused on building products that are not just functional, but genuinely useful and technically thoughtful.
Education
Master of Engineering in Artificial Intelligence
Chandigarh University
B.Tech in Computer Science and Engineering
Biju Pattanaik University of Technology
Professional Experience
Experience
1 Year of Experience in software development
EduSkills Foundation
Professional Highlights
- - Hands-on delivery across frontend, backend, and API-driven workflows.
- - Strong fit for full-stack and AI-integrated product engineering roles.
Optional AI Layer
Use AI for fast portfolio navigation
For quick role-fit checks, project guidance, and current-focus questions. Responses stay constrained to portfolio context.
Portfolio AI
Quick portfolio Q&A
Concise answers grounded to portfolio content. Useful for recruiter, collaborator, and client screening.
Try a suggested prompt for a quick start. The assistant only answers from available portfolio context.
Next Step
Start a serious conversation
If you are hiring, evaluating project fit, or planning a client build, I can share clear context and a practical execution approach.
Open to freelance, and full-time opportunities
Best fit for AI-integrated product engineering, full-stack implementation, dashboard workflows, and grounded assistant features.