I am looking for a Software Development Engineer or Machine Learning Engineer role where I can work on real-world problems and build scalable, production-ready systems. I seek a collaborative environment that encourages learning and ownership while allowing me to grow my engineering and machine learning skills.
Rakesh Kumar Jagdev
@rakeshkumarjagdev
Final-year B.Tech CSE (AI/ML) student and ML intern focused on production-ready ML pipelines.
What I'm looking for
I am a final-year B.Tech in Computer Science and Engineering (AI/ML) with hands-on experience building ETL/data preprocessing pipelines, backend API integration, and model evaluation for production workflows.
As an ML intern, I have implemented and tested pipelines on 50k+ record datasets, reduced debugging time by ~20%, and supported model training, validation, and API-based model interactions for deployment readiness.
I enjoy working at the intersection of ML, backend systems, and MLOps — focusing on reliable model performance, robust testing, and clear documentation to enable smooth knowledge transfer and scalable production solutions.
Experience
Work history, roles, and key accomplishments
ML Intern
Cognify
Oct 2025 - Present (3 months)
Completed a Machine Learning internship at Cognifyz Technologies, working on datasets with 50,000+ records to build end-to-end ML workflows. Delivered 3 machine learning tasks including restaurant rating prediction with an R² score of 0.95, cuisine classification, and location-based analysis. Gained hands on experience in data preprocessing, model evaluation, and real-world ML challenges.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology, Computer Science and Engineering (AI/ML)
2022 -
Activities and societies: Relevant coursework and project work including AI-powered roof area detection, backend API development for platforms, and a GenAI Q&A bot using RAG concepts.
Pursuing B.Tech in Computer Science and Engineering with specialization in AI/ML, covering coursework in algorithms, databases, operating systems, networks, software engineering, and machine learning; involved in ML projects including deployment and API integration.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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