🚀 ARIJIT SAMAL

I'm a Data Scientist

ML|AI|NLP|DL|Gen-AI|LLM|Big Data

Arijit Samal - Data Scientist & AI Engineer

About Me

Passionate about building intelligent systems and driving innovation through data

My Introduction

Results-driven data scientist with expertise in big data, machine learning, deep learning, and Gen-AI. Proficient in Python, Big data technologies, PyTorch, and LLMs with a strong background in developing data-driven solutions across various domains.

My expertise spans across healthcare, e-commerce, social media, and IoT domains. I have proven ability to design and implement comprehensive data analysis, NLP, Knowledge Graphs, Deep Learning, and Computer Vision models.

Demonstrated success in hackathons, achieved prestigious scholarships, conducted impactful research, and contributed to open-source projects, showcasing strong problem-solving, collaborative, and analytical skills with a commitment to innovate and impact using data science.

Skills & Technologies

Programming

C/C++

Python

Java

OOPs

DSA

Shell

ML & AI

NLP

LLM

Agents

LangChain

LangGraph

PyTorch

TensorFlow

Scikit-learn

OpenCV

Data & Analytics

NumPy

Pandas

Seaborn

Matplotlib

SQL

PostgreSQL

Neo4J

GraphDB

SPARQL

Cypher

Tools & Platforms

Streamlit

Airflow

PySpark

Docker

GCS

Minio

Big Data

Education

Academic journey across Europe and India in Data Science and Engineering

Master's Degree

Erasmus Mundus Masters in Big Data Management and Analytics (BDMA)

2023 – 2025

Semester 1

Université libre de Bruxelles (ULB)

Brussels, Belgium

MS in Computer Science

Semester 2

Universitat Politècnica de Catalunya (UPC)

Barcelona, Spain

MS in BDMA

Semester 3 and Semester 4

CentraleSupélec (CS), Université Paris-Saclay

Paris, France

MS in Data Science and AI

Bachelor's Degree

Indian Institute of Science Education and Research (IISER), Bhopal

2019 – 2023

Bhopal, India

Bachelors in Electrical Engineering and Computer Science (EECS)

Minor in Data Science and Engineering (DSE)

G.P.A.: 9.57 / 10.00

Professional Experience

Building impactful solutions across data science, AI, and open-source development

Hedge Fund

Capital Fund Management (CFM)

Data Scientist

March 2025 – November 2025

Paris, Ile de France, France

View

Building a multi-agent system to fix alerts in the data equity referential pipeline of CFM which is an essential part of the intraday trading workflows.

Technologies

Python

OracleDB

LangChain

LangGraph

Google ADK

FastAPI

Streamlit

Key Achievements

Built a multi-agent system to auto resolve data pipeline alerts for the Data Referential Equity team (Paper Published at AAMAS 2026)

Engineered an ensemble RAG pipeline (Graph RAG, RAPTOR, hybrid search, reranking, Agentic RAG)

Created autonomous coding agents using ReWOO, LLMCompiler, and LATS planners

Implemented an agentic swarm orchestration with dynamic handoffs between agents

Achieved 97% RAG accuracy and 94% agent performance on production CFM alerts

Reduced mean time to resolution from 60 min to 2 min (fast) / 5 min (normal), cutting handling time by 92%

Hedge Fund

Capital Fund Management (CFM)

Data Scientist

March 2025 – November 2025

Paris, Ile de France, France

Project Link

Building a multi-agent system to fix alerts in the data equity referential pipeline of CFM which is an essential part of the intraday trading workflows.

Technologies

Python

OracleDB

LangChain

LangGraph

Google ADK

FastAPI

Streamlit

Key Achievements

Built a multi-agent system to auto resolve data pipeline alerts for the Data Referential Equity team (Paper Published at AAMAS 2026)

Engineered an ensemble RAG pipeline (Graph RAG, RAPTOR, hybrid search, reranking, Agentic RAG)

Created autonomous coding agents using ReWOO, LLMCompiler, and LATS planners

Implemented an agentic swarm orchestration with dynamic handoffs between agents

Achieved 97% RAG accuracy and 94% agent performance on production CFM alerts

Reduced mean time to resolution from 60 min to 2 min (fast) / 5 min (normal), cutting handling time by 92%

Open Source

MobilityDB

Open Source Developer

July – September 2024

Brussels, Belgium

View

Improved JMEOS, Java binding for the MEOS spatiotemporal library, contributing significantly to the open-source geospatial database ecosystem.

Technologies

Java

FFI

CI/CD

GitHub Actions

Python

Key Achievements

Contributed 30K+ lines of code to JMEOS and MobilityDB repositories

Boosted testing coverage by 70% using JUnit for MEOS data types

Automated documentation deployment using GitHub Pages, streamlining API visibility for 500+ users

Built CI/CD pipelines with GitHub Actions, cutting build and integration times by 30%

Open Source

MobilityDB

Open Source Developer

July – September 2024

Brussels, Belgium

Project Link

Improved JMEOS, Java binding for the MEOS spatiotemporal library, contributing significantly to the open-source geospatial database ecosystem.

Technologies

Java

FFI

CI/CD

GitHub Actions

Python

Key Achievements

Contributed 30K+ lines of code to JMEOS and MobilityDB repositories

Boosted testing coverage by 70% using JUnit for MEOS data types

Automated documentation deployment using GitHub Pages, streamlining API visibility for 500+ users

Built CI/CD pipelines with GitHub Actions, cutting build and integration times by 30%

Research

Health Technologies Lab (HTL), IBME, University of New Brunswick (UNB)

Deep Learning Researcher

May – October 2023

Fredericton, Canada

View

Worked on Translating Foot Pressure Maps to 3D Human Poses, developing innovative biometric identification systems using advanced machine learning techniques.

Technologies

PyTorch

Python

Mediapipe

TensorFlow

Keras

OpenCV

MATLAB

Key Achievements

Captured foot pressure maps using 100Hz tiles; mapped to 3D poses with 33 keypoints

Used video from 8 cameras as supervision; developed Encoder-Decoder, CRNN, and CNN+LSTM models

Evaluated models using MPJPE and MSE, enabling non-invasive person identification with 95% accuracy

Pioneered novel approach to biometric authentication using gait analysis

Research

Health Technologies Lab (HTL), IBME, University of New Brunswick (UNB)

Deep Learning Researcher

May – October 2023

Fredericton, Canada

Project Link

Worked on Translating Foot Pressure Maps to 3D Human Poses, developing innovative biometric identification systems using advanced machine learning techniques.

Technologies

PyTorch

Python

Mediapipe

TensorFlow

Keras

OpenCV

MATLAB

Key Achievements

Captured foot pressure maps using 100Hz tiles; mapped to 3D poses with 33 keypoints

Used video from 8 cameras as supervision; developed Encoder-Decoder, CRNN, and CNN+LSTM models

Evaluated models using MPJPE and MSE, enabling non-invasive person identification with 95% accuracy

Pioneered novel approach to biometric authentication using gait analysis

Research Publications

Contributing to the scientific community through peer-reviewed research

Published

Research Paper

Thermal Vision: Pioneering Non-Invasive Temperature Tracking in Congested Spaces

December 2022 – August 2023

Elsevier ScienceDirect Smart Health Journal

Arijit Samal, Haroon R. Lone

Co-authored paper as part of Bachelor's thesis, developing real-time temperature tracking in crowded environments using edge devices.

Technologies

Python

OpenCV

TensorFlow

Keras

PyTorch

Scikit-learn

YOLO

IoT

View Publication

Published

Research Paper

December 2022 – August 2023

Elsevier ScienceDirect Smart Health Journal

Arijit Samal, Haroon R. Lone

Thermal Vision: Pioneering Non-Invasive Temperature Tracking in Congested Spaces

Co-authored paper as part of Bachelor's thesis, developing real-time temperature tracking in crowded environments using edge devices.

Technologies Used

Python

OpenCV

TensorFlow

Keras

PyTorch

Scikit-learn

YOLO

IoT

View Publication

Featured Projects

A showcase of my work in AI, Machine Learning, and Software Engineering

Personal Project

Completed

OASIS OS

2024

•Agents, GUI-Automation, LLM, GEN-AI

Intelligent Workflow Automation Platform that transforms workspaces with AI-powered automation. Teach OASIS OS your workflows once, and watch it handle repetitive tasks forever. Features teach mode recording, cross-platform GUI automation, and modern web interface.

GitHub

Technologies

Python

Next.js

FastAPI

GPT-4.1

Groq

Ollama

whisper

TypeScript

LangGraph

LangChain

Key Achievements

Teach Mode: Record workflows with mouse/keyboard tracking and voice commands

Cross-platform GUI automation (Windows, macOS, Linux) with visual debugging

Extensible architecture with FastAPI backend and multiple AI model support

Smart automation with workflow execution via simple commands

Voice command integration with speech-to-text

Personal Project

Completed

OASIS OS

Agents, GUI-Automation, LLM, GEN-AI

2024

GitHub

Technologies

Python

Next.js

FastAPI

GPT-4.1

Groq

Ollama

whisper

TypeScript

LangGraph

LangChain

Key Achievements

Teach Mode: Record workflows with mouse/keyboard tracking and voice commands

Cross-platform GUI automation (Windows, macOS, Linux) with visual debugging

Extensible architecture with FastAPI backend and multiple AI model support

Smart automation with workflow execution via simple commands

Voice command integration with speech-to-text

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View More Projects on GitHub

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you

Contact Information

arijit.samal@student-cs.fr

Phone

+33 07 55 02 85 93

Location

Paris, Ile de France, France

Connect with me

Available for opportunities

Open to full-time roles and exciting opportunities

Send me a message

Ready to work together?

I'm always interested in hearing about new opportunities, innovative projects, and ways to contribute to cutting-edge research in AI and ML.

Let's Talk