CODE
SYSTEM STATUS: ONLINE

AI ML
ENGINEER

I design machine learning systems for real world impact.
Python • Scikit learn • TensorFlow • Docker

/// OPEN FOR WORK /// MACHINE LEARNING /// ARTIFICIAL INTELLIGENCE /// DATA DRIVEN /// PRODUCTION READY /// INTELLIGENT SYSTEMS /// OPEN FOR WORK /// ACCURATE MODELS /// OPTIMIZED ///
Deval AVATAR.JPG

Who am I?

I am Deval. A Machine Learning Engineer focused on building data driven systems and intelligent applications.

> Specialized in Machine Learning, Deep Learning, and NLP.
> Experience building end to end ML pipelines and AI systems.
> Strong foundation in Python, data processing, and model deployment.

📍 LOCATION: WORLDWIDE
🟢 STATUS: AVAILABLE

TECH_STACK

/// SYSTEM_OPTIMIZED

>_ LANGUAGE
PYTHON
>_ ML
SCIKIT LEARN
>_ DEEP LEARNING
TENSORFLOW
>_ DATA
PANDAS
>_ VISUALIZATION
MATPLOTLIB
>_ DATABASE
MYSQL
>_ COMPUTER VISION
OPEN CV
>_ VERSION_CONTROL
GIT
>_ ALGORITHM
XGBOOST
>_ OPS
GitHub
>_ WEB FRAMEWORK
FLASK
>_ DEPLOYMENT
STREAMLIT
>_ DOMAIN
NLP
>_ VISUALIZATION
SEABORN
>_ NLP/AI
TRANSFORMERS
>_ CONTAINERIZATION
DOCKER
TOTAL_NODES: 16 MEMORY_USAGE: 128MB

Experience_Log

AI/ML Intern

Jan 2026 - PRESENT

@ Microsoft Elevate

  • Developed end to end machine learning workflows including data preprocessing and model training
  • Implemented regression and classification models using Scikit-learn and XGBoost
  • Evaluated model performance using metrics and improved accuracy through hyperparameter tuning

Machine Learning Intern

Jun 2025 - Jul 2025

@ Intel Technology India Pvt. Ltd.

  • Learned and implemented supervised machine learning models including regression and classification
  • Worked on data preprocessing, feature engineering, and model evaluation using Python and Scikit learn
  • Built mini projects applying ML concepts on real datasets during guided industry sessions

CODING_STATS

LIVE

GITHUB

devaldaki3

Midnight Coder

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Commits

Repositories
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Followers
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Commits
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Joined
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Matrix_Output

GitHub Contribution Graph
$ gh --stats _
VIEW_GH →

LEETCODE

deval_ai

Problem solver

#Top

Ranking

LeetCode Stats
$ leetcode --u _
VIEW_LC →

Selected Works

PACKINSPECT - AI-powered visual inspection system for detecting defects in bottle packaging

PACKINSPECT

Built a CNN based visual inspection system using TensorFlow and OpenCV to detect bottle packaging defects with real time inference through a Streamlit dashboard.

Python Streamlit TensorFlow Keras OpenCV Plotly
UNIFIED ML PIPELINES - Mathematics-Driven Machine Learning Platform

UNIFIED ML PIPELINES

Developed an end to end machine learning pipeline with automated preprocessing, model training, hyperparameter tuning, and MLflow experiment tracking for regression and classification tasks.

Python FastAPI Streamlit Scikit-learn MLFlow XGBoost Plotly Pandas
SEEKRA - AI-Powered PDF Question Answering System

SEEKRA

Implemented a retrieval augmented PDF question answering system using document chunking, vector similarity search, and context aware response generation with a Streamlit interface.

Python Streamlit CrewAI Vector Database PDF Processing Text Chunking
Movie Recommendation System with Analytics - ML-powered movie suggestions

MOVIEFLIX

Built a machine learning powered movie recommendation system with sentiment analysis and analytics dashboard using collaborative filtering and NLP techniques.

Flask Python scikit-learn BeautifulSoup pandas NumPy NLP

USER_REPORTS.txt

LIVE_FEED
REPORT_001.log
2025.txt
FROM: Student @ SAL

"Exceptional ML skills. His feature engineering approach delivered outstanding model accuracy."

REPORT_002.log
2025.txt
FROM: Industry Mentor @ Intel Technology India

"Impressive work on PACKINSPECT. The CNN implementation for defect detection shows strong understanding of computer vision."

REPORT_003.log
2025.txt
FROM: Student @ SAL

"Strong deep learning expertise. CNN model achieved 95% accuracy on our dataset."

REPORT_004.log
2025.txt
FROM: Dev @ CreativeChaos

"Impressive NLP work. Sentiment analysis and text preprocessing were spot on."

REPORT_005.log
2025.txt
FROM: Dev @ 21Twelve

"Expert at data preprocessing. ML pipeline with MLflow tracking was seamless."

REPORT_001.log
2025.txt
FROM: Student @ SAL

"Deval's ML models are incredibly accurate. His approach to feature engineering and hyperparameter tuning is outstanding"

REPORT_002.log
2025.txt
FROM: Dev @ Identixweb

"Excellent understanding of ML pipelines. Delivered a production ready model with clean documentation and proper version control."

REPORT_003.log
2025.txt
FROM: Student @ SAL University

"Strong grasp of deep learning concepts. His CNN implementation for image classification achieved 95% accuracy on our dataset."

REPORT_004.log
2025.txt
FROM: Dev @ CreativeChaos

"Impressive NLP work. His sentiment analysis model and text preprocessing pipeline were exactly what we needed."

REPORT_005.log
2025.txt
FROM: Dev @ 21Twelve

"Great at data preprocessing and feature engineering. His ML pipeline with MLflow tracking made model management seamless."

START A PROJECT

Let's
Talk
AI.

Actively seeking full time opportunities in Machine Learning and AI Engineering.

India / Remote Available