Indresh Soni
Jhansi
Summary
Data Scientist and MLOps Engineer with 8+ years of experience building scalable machine learning systems, data pipelines, and AI-driven products. Experienced in designing end-to-end ML pipelines including data ingestion, feature engineering, model training, deployment, and monitoring. Strong expertise in Python, SQL, TensorFlow, Scikit-learn, and production deployment using Flask APIs and containerized environments. Proven ability to translate business problems into data science solutions and deliver production-ready AI systems used by real users and organizations.
Overview
10
10
years of professional experience
Work History
Data Engineer | MLOps Engineer| Python Developer
ISIT College
Jhansi
01.2021 - Current
- Designed and implemented end-to-end machine learning pipelines including data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
- Built production-ready ML APIs using Flask, enabling real-time predictions for AI-driven applications used by educational institutes and research users.
- Implemented reproducible ML workflows including experiment tracking, model comparison, and retraining strategies to improve model accuracy and maintainability.
- Collaborated with stakeholders to gather requirements and translate business problems into scalable data science and AI solutions.
- Developed data pipelines and feature engineering frameworks that accelerated model experimentation and improved development efficiency.
- Mentored students and junior engineers on machine learning lifecycle, AI product development, and MLOps best practices.
- Crafted custom ETL Extract, Transform, Load processes tailored to specific project needs, enhancing data usability.
- Conducted thorough data quality checks, rectifying inconsistencies and ensuring reliability of information.
- Designed and implemented scalable data pipelines, integrating diverse data sources for streamlined analysis.
- Managed lifecycle elements of ETL development, from robust testing to final deployment.
- Monitored and maintained automation systems, ensuring optimal performance and minimal downtime.
- Developed comprehensive documentation for automation processes, facilitating easy understanding and adoption by teams.
- Coordinated with external consultants on complex automation projects, leveraging external expertise for maximum impact.
Senior Software Engineer
Wizmax Infosys
Jhansi
03.2016 - 01.2019
- Developed backend systems and REST APIs for enterprise applications and data-driven platforms.
- Built SQL-based database systems and implemented query optimization techniques to improve application performance.
- Developed Python scripts for data preprocessing, automation, and analytics preparation.
- Collaborated with engineering teams to integrate backend systems with analytics and machine learning pipelines.
Education
MBA - Finance
Himalayan Garhwal University
01.2023
MCA - Computer Science
Himalayan Garhwal University
01.2021
BCA - Computer Science
Makhan Lal Chaturvedi University
01.2012
Skills
- Programming
Python, SQL, Shell
- Machine Learning
Classification, Regression, Feature Engineering, Model Evaluation, CNN, NLP, LSTM
- MLOps
ML Pipelines
Model Versioning
Experiment Tracking
CI/CD Concepts
Model Monitoring
- Frameworks & Libraries
TensorFlow
Keras
Scikit-learn
Pandas
NumPy
OpenCV
- Backend & APIs
Flask
REST APIs
- Data Engineering
ETL Pipelines
Data Validation
SQL Optimization
Data Preprocessing
- Tools
Docker
Git
GitHub
Linux
- Data Analysis
Exploratory Data Analysis (EDA),
Statistical Modelling,
Data Visualisation Concepts
Projects
- Smart Attendance Face Recognition System, Built a computer vision AI system to automate attendance using facial recognition., Designed image preprocessing pipelines and CNN-based models using Python, OpenCV, and TensorFlow., Deployed the model via Flask REST API enabling real-time attendance capture and reporting., Reduced manual attendance processes and improved operational efficiency for institutes., Python, OpenCV, CNN, TensorFlow, Flask, Git
- Student Performance Prediction System, Developed predictive models to identify student performance trends and dropout risks., Used structured academic and behavioral datasets for machine learning modeling., Delivered prediction APIs and analytics insights for educators to enable data-driven academic interventions., Python, Scikit-learn, Pandas, SQL, Flask
- Fake News Detection AI Platform, Designed NLP pipelines to detect fake vs real news articles using text classification models., Implemented LSTM-based deep learning models for content classification., Built automated retraining workflows for improving model accuracy with new datasets., Python, TensorFlow, Keras, NLP Libraries
- Brain Tumor Detection AI System, Built a deep learning system for automated tumor detection from MRI scans., Implemented transfer learning using VGG-19 architecture for medical image classification., Designed preprocessing pipelines, model training workflows, and inference APIs., Python, TensorFlow, Keras, OpenCV, Flask
Linkedin Portfolios
- https://www.linkedin.com/in/indreshsoni1/
- https://github.com/indresh756606
Timeline
Data Engineer | MLOps Engineer| Python Developer
ISIT College
01.2021 - Current
Senior Software Engineer
Wizmax Infosys
03.2016 - 01.2019
MBA - Finance
Himalayan Garhwal University
MCA - Computer Science
Himalayan Garhwal University
BCA - Computer Science
Makhan Lal Chaturvedi University