Hello, I'm

Devesh Jaluka

Data Scientist & ML Engineer

I turn

Transforming complex data into actionable insights and building intelligent solutions that solve real-world problems with machine learning and data science.

AI Apps
that predict
outcomes.
Sky Catcher
Score: 0 Level: 1 Lives: 3 Streak x1
Progress to next level

Catch the Orbs. Dodge the Hazards.

Move the paddle with your mouse or touch. Keep the streak to multiply points!

About Me

Get to know me and my approach to data science

Devesh Kumar Jaluka

I'm a passionate Data Scientist with expertise in machine learning, deep learning, and data analysis. With over 7 years of experience in the field, I've helped organizations leverage data to drive decision-making and create innovative solutions.

My approach combines technical expertise with business acumen to deliver solutions that not only solve complex problems but also provide tangible value. I believe in the power of data to transform organizations and improve lives.

When I'm not working with data, you can find me contributing to open-source projects, writing about data science, or exploring new machine learning techniques.

Machine Learning Deep Learning Python Data Analysis NLP Computer Vision

Core Competencies

Machine Learning 90%
Deep Learning 90%
Data Analysis 95%
Cloud Computing 80%
Data Structures 80%

My Projects

Explore my recent work in data science and machine learning

FLyCode-Fulfill Your Dreams
web-apps

FLyCode-Fulfill Your Dreams

A modular question bank and coding practice platform built with Flask.

Python Flask Web App
Python
Featured
FoodDash – Restaurant Ops & Forecasting
web-apps

FoodDash – Restaurant Ops & Forecasting

A Flask-based restaurant management platform with dishes, orders, inventory, invoices, and analytics.

Python Flask SQLite
Python
Featured
Prompt-Based Spotify Playlist Generator
web-apps

Prompt-Based Spotify Playlist Generator

Generates Spotify playlists based on mood or genre prompts using AI.

Python Streamlit Gemini API
Python
Featured
PreProPlot: Data Visualization and Preprocessing Toolkit
web-apps

PreProPlot: Data Visualization and Preprocessing Toolkit

A Flask application for data preprocessing and visualization.

Python Flask Data Visualization
Python
Featured
Amazon Sales Dashboard
dashboards

Amazon Sales Dashboard

An interactive Power BI dashboard analyzing Amazon sales data.

Power BI SQL Dashboard
Python
Featured
Neurological Disorder Detection
deep-learning

Neurological Disorder Detection

MRI brain tumor detection using MobileNetV2 and Grad-CAM.

Python TensorFlow Keras
Python
Featured
Feed Me A Movie: Movie Recommendation System
web-apps

Feed Me A Movie: Movie Recommendation System

Content-based movie recommender system using cosine similarity.

Python Streamlit NLP
Python
Featured
Desh Encryption Algorithm
cryptography

Desh Encryption Algorithm

Custom encryption-decryption algorithm using mathematical transformations.

Python Encryption Cryptography
Python
Featured
Citation Fetcher
web-apps

Citation Fetcher

Fetch citations in various formats using a cross-site API.

Python API Citations
Python
Featured
Predictive Analysis of Fresh Water Reserves
data-science

Predictive Analysis of Fresh Water Reserves

Predictive analysis of groundwater quality using advanced ML and deep learning techniques.

Python XGBoost Data Analysis
Python
Featured

My Experience

My professional journey in data science and analytics

May 2025–Jul 2025

AI Engineer - Artificial Intelligence

Algorizz Technologies

Developed agent-based AI pipeline, RAG chatbot system, and fine-tuned BLIP model for clinical imaging.

  • Built modular agent-based AI presentation pipeline using LangGraph and Azure OpenAI (solutions architecture focus)
  • Developed chatbot generation system with RAG (LangChain) ingesting web-scraped data into a FAISS vector database
  • Fine-tuned BLIP vision-language model on clinical chest X-ray data for caption generation (PyTorch, Hugging Face Transformers)
Jul 2024–Dec 2024

Research Intern - Machine Learning

Vellore Institute of Technology

Developed hybrid CNN-LSTM model for land cover prediction using satellite data.

  • Engineered data pipeline reducing preprocessing time by 40%
  • Implemented Grad-CAM for model interpretability
  • Presented research at MoSICom 2024, BITS Dubai

My Skills

The technologies and tools I work with

Machine Learning & AI

TensorFlow HuggingFace Transformers Gemini API T5X LoRA QLoRA RAG LangChain LangGraph AI Agents Agentic AI Faiss Pinecone Weaviate Quadrant Scikit-learn XGBoost Vertex AI TensorFlow Extended (TFX) Ray Apache Beam Weights & Biases Docker Kubernetes

Programming Languages

Python R SQL JavaScript Java C++

Cloud & DevOps

AWS Azure Docker Git CI/CD

Get In Touch

Reach out for collaboration or just to say hello

Location

Chennai, India