// LLM fine-tuning · agentic workflows · prompt engineering

Computer Science undergraduate specializing in LLM agentic workflows, fine-tuning, and AI data validation.

Computer Science undergraduate with hands-on experience in LLM fine-tuning, prompt engineering, and agentic workflows, paired with strong Python and SQL fundamentals built through 200+ solved competitive-programming problems. Experienced building automated evaluation pipelines that enforce strict correctness, consistency, and data integrity under edge-case conditions. Comfortable working with structured data and REST APIs, with a genuine interest in agentic AI and LLM training-data quality.Agentic Workflows

AI / MLComputer visionAutonomous systemsMars rover engEmbeddedFull-stackResearch

200+ SolvedCompetitive Problems
2 ModelsHugging Face Published
3.41 CGPADaffodil Intl University
GPA 5.00HSC & SSC Perfect Score
Md. Ragib Hasan
MD. RAGIB HASANAI · CV · ROBOTICS
Seeking Remote LLM Agentic Trainer / AI Data Quality Role
SEC.01 // About

The person behind the commits

Computer Science undergraduate with hands-on experience in LLM fine-tuning, prompt engineering, and agentic workflows, paired with strong Python and SQL fundamentals built through 200+ solved competitive-programming problems. Experienced building automated evaluation pipelines that enforce strict correctness, consistency, and data integrity under edge-case conditions. Comfortable working with structured data and REST APIs, with a genuine interest in agentic AI and LLM training-data quality.

EducationB.Sc. in CSE, Daffodil International University (2023–2027)
Current CGPA3.41 / 4.00
Focus AreasLLM Fine-Tuning, Agentic Workflows, RAG, Prompt Eng, Data Quality
Competitive200+ solved problems (Codeforces, LeetCode, CodeChef, AtCoder)
Open Source2 published models & 3 Spaces on Hugging Face (@ragibhasan)
HSC & SSCGPA 5.00/5.00 (Rangpur Govt. College & Kumargonj High School)

// SHOWREEL · VIDEO RESUME & DEMO

Video Resume

A quick visual walkthrough of AI system deployments, real-time edge computer vision inference, and rover field operations.

SYSTEM FEED · LIVE DEMO
RES: 1080P @ 60FPS
Watch the full video presentation above or download the technical PDF resume.
SEC.02 // Experience

Where I have shipped

2023 - PresentCurrent

Remote LLM Agentic Trainer & AI Data Quality Researcher Independent / Open Source

  • Fine-tuned LLMs using QLoRA/LoRA and prompt engineering techniques to structure high-quality dataset outputs.
  • Built automated evaluation pipelines that enforce strict correctness, consistency, and data integrity under edge-case conditions.
  • Solved 200+ competitive programming problems on Codeforces, LeetCode, and CodeChef to solidify algorithmic efficiency and data structure principles.
  • Published 2 AI models and created 3 Hugging Face Spaces for interactive LLM and generative vision demonstrations.
LLM Fine-TuningAgentic AIPrompt EngineeringEvaluation PipelinesPyTorch
SEC.03 // Projects

Flagship work

Status is stated honestly: Live deployed and reachable · Access-gated deployed, but not a public demo · Running locally functional, not yet deployed · Demo offline code public.

01 // Category

Generative AI & AI Applications

P.01Live Deployment

Face Recognition Attendance System v2

An automated attendance management system leveraging real-time facial recognition, frame detection, and database logging for contactless attendance verification.

Computer VisionOpenCVFace RecognitionPythonSQLite
P.02Live Deployment

Nexa

Built a diffusion-based generative computer vision pipeline for image generation and processing, working directly with model configuration, inference, and evaluation.

Generative AIDiffusion ModelsLLM ToolingPyTorchComputer Vision
P.03Live Deployment

Online Judge

Built an automated evaluation pipeline that validates code submissions against strict correctness, consistency, and integrity checks across large volumes of test cases. Implemented isolated, sandboxed execution and structured logging.

Automated Data ValidationSandboxed ExecutionPythonFastAPIData Integrity
P.04Live Deployment

Salat Tracker

A daily prayer tracking and habit analytics application helping users track prayer consistency, set reminders, and view progress stats.

FlutterDartProductivityHabit TrackerMobile App
P.05Live Deployment

Slate

A lightweight, distraction-free note-taking and workspace application designed for rapid markdown drafting, code snippet storage, and local organization.

Developer ToolingMarkdownReactDesktop / Web AppProductivity
P.06Live Deployment

Student Performance Prediction

Built a machine learning pipeline to analyze academic data and predict student performance outcomes using tuned regression and classification models.

Machine LearningPyTorchPandasScikit-LearnPredictive Modeling
P.07Live Deployment

CodeLens

Built a code analysis tool to help developers inspect and understand codebases more effectively through AST parsing and structural inspection.

Developer ToolingCode AnalysisAST ParsingPythonStatic Analysis
P.08Live Deployment

Hop Mania

An arcade-style jumping/platformer game featuring physics-based obstacle navigation, score tracking, and smooth character animations.

Game DevelopmentPython / PygamePhysics EngineInteractive Game

ForgeAI

Running locally

A local-first autonomous software-engineering control plane with repo indexing, approval-gated LangGraph agents, FastAPI orchestration, SSE events, RAG search, and a Next.js dashboard.

FastAPILangGraphRAGNext.js

RecallAI

Running locally

A local-first visual episodic memory app: teach objects from camera/upload frames, add room and nearby-object context, then search remembered objects by text, image, or both.

FastAPISQLiteReactVisual search
SEC.04 // Research

Papers and patents

Both manuscripts are with peer-reviewed journals. Venues will be named once decisions are public.

Open Source

Diffusion-Based Generative Vision Pipeline (Nexa)

Architected diffusion model configuration, inference, and evaluation pipeline for high-fidelity image generation.

Open Source

Automated Code Submission Evaluation Sandbox

Isolated, sandboxed execution framework enforcing strict correctness and edge-case data integrity.

Mission log // Robotics

Autonomous Robotics & Rover Autonomy

Autonomous robotics perception & terrain navigation stack

RoleRover Lead, Aug 2025 onward
SystemTerrain perception for unstructured ground
CompetitionIRC 20th worldwide · Robocon AIR 1 R1

Real-Time Face Recognition Attendance Pipeline (v2)

OpenCV and Deep Learning face recognition pipeline for automated, contactless attendance logging.

Hugging Face Model Publishing & Spaces Deployment

Published 2 machine learning models and built 3 interactive spaces on Hugging Face (@ragibhasan).

SEC.07 // Skills

Tools I reach for

Skills are grouped by where they have been used, not by buzzword density.

LLM & Agentic AI

Prompt engineeringAgentic workflowsRAGLoRA/QLoRA fine-tuningModel evaluationDiffusion modelsHugging Face

Programming Languages

PythonSQLRustCC++GoJavaBash

Data & APIs

JSONREST API designFastAPIDjangoFlaskPostgreSQLMySQLSQLite

ML Frameworks

PyTorchNumPyPandasMatplotlibSeabornOpenCV

Systems & Tools

Linux (Arch/Ubuntu)DockerGitPostmanCI/CD basics
SEC.08 // Achievements

Proof of work

Competitive Programming

2024 - Present

Solved 200+ problems across Codeforces (@rhasan), LeetCode (@ragibhasan), CodeChef, Toph, and AtCoder.

Open Source & ML

2024 - Present

Published 2 models and created 3 Spaces on Hugging Face (@ragibhasan); active contributor on Kaggle (@ragibhasan2).

2024 - Present

Competitive Programming. Solved 200+ problems across Codeforces (@rhasan), LeetCode (@ragibhasan), CodeChef, Toph, and AtCoder.

2024 - Present

Open Source & ML. Published 2 models and created 3 Spaces on Hugging Face (@ragibhasan); active contributor on Kaggle (@ragibhasan2).

SEC.09 // Education

Education

B.Sc. in Computer Science & Engineering

Daffodil International University · 2023 to 2027

8.28 / 10CGPA

CGPA: 3.41 / 4.00 (Current). Focus on LLM Fine-Tuning, Agentic Workflows, RAG, and AI Data Quality.

AI core: ML · DL · NLP · CVEngineering: DSA · DBMS · OOP · Linux

Higher Secondary Certificate (HSC), Science

Rangpur Government College · 2021 to 2023

8.28 / 10CGPA

GPA: 5.00 / 5.00 (Perfect Score)

AI core: ML · DL · NLP · CVEngineering: DSA · DBMS · OOP · Linux

Secondary School Certificate (SSC), Science

Kumargonj B/L High School · 2019 to 2021

8.28 / 10CGPA

GPA: 5.00 / 5.00 (Perfect Score)

AI core: ML · DL · NLP · CVEngineering: DSA · DBMS · OOP · Linux
SEC.10 // Contact

Let's talk engineering

Open for internships, research roles, edge vision consulting, and autonomous systems work.

LocationBangladesh
Response timeUsually within 24 hours