Headline

Machine learning engineer @CEL | RAG and LLM systems l MLOps | python developer

About

I am a Python developer with hands-on experience building production-oriented AI and machine learning systems, focused on turning notebooks into reliable, real-world software. I design Python-based pipelines with automation, monitoring, and retraining to ensure systems remain robust as data changes. My work includes designing end-to-end Python-based ML pipelines—from data ingestion and feature engineering to model evaluation, monitoring, and automated retraining. I have built applied systems such as a drift-aware credit risk pipeline, an AI-powered attendance system using computer vision, and image enhancement applications for object removal and restoration. Recently, I developed an automated ML workflow that retrains models when data distributions change, emphasizing system reliability, monitoring, and versioning rather than model accuracy alone. My strengths lie in Python engineering for data-driven systems—writing clean, modular code, automating workflows, and connecting models to real-world usage. I have experience with ML lifecycle practices such as model tracking, performance monitoring, and retraining strategies. I am currently seeking Python Developer or Associate Software Engineer roles where I can contribute to building reliable software systems, automation pipelines, and intelligent applications while continuing to grow my backend and production engineering skills.

Location

Lucknow

Work experience

Machine Learning Engineer at Community Empowerment Lab (CEL), Mar 2026 - Present · 3 mos, Lucknow, Constructed a CNN-based computer vision system for detecting Severe Chest Indrawing (SCI) for healthcare applications Planned and integrated data preprocessing pipelines for image/video datasets to improve model performance Performed exploratory data analysis and organized ML-ready datasets for model training and validation Improving model performance and detection reliability by 10-15% (ongoing evaluation) through optimized preprocessing Tech Stack: Python, CNN, LSTM, Git, React.js.

AI and application engineer at Orivon Technologies, Sep 2025 - Dec 2025 · 4 mos, Mumbai, Built Python-based machine learning pipelines for data preprocessing, training, evaluation, and automation • Designed and implemented modular Python scripts to support model retraining, monitoring, and experimentation • Integrated ML components into applications, focusing on reliability, performance, and maintainability • Automated data workflows and model updates to adapt to changing input patterns • Collaborated with cross-functional teams to deploy and validate ML-driven features

Education

Bachelors of Technology, Computer Science, SHRI RAMSWAROOP MEMORIAL UNIVERSITY

Science stream, Computer Science, Lucknow Public School

Public links

github: https://github.com/Arpit061