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AI Engineer with 1+ years in Data Engineering & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer and Data Analyst with internship experience across the data value chain from data engineering, ETL pipelines, and cloud platforms to machine learning, generative AI, and REST API deployment. Proficient in Python, Pandas, NumPy, PySpark, Scikit-learn, TensorFlow, Keras, and GCP, with hands-on experience building classification and regression models and deploying them via FastAPI. Familiar with Large Language Models, Retrieval-Augmented Generation (RAG), NLP, and Transformer-based architectures. Seeking roles across Data Analytics, Data Science, Data Engineering, and Generative AI tracks.
Swarnandhra College of Engineering and Technology
B.Tech · Electronics & Communication Engineering
January 1, 2019 – May 1, 2023
Masuu Global Technologies
AI/ML Intern
June 1, 2026 – Present
Hyderābād, Telangana, India
Revature
Data Engineer Trainee
April 1, 2025 – June 1, 2025
Hyderābād, Telangana, India
Apoyphe Software Services
Associate Software Engineer Intern
April 1, 2024 – September 1, 2024
Hyderābād, Telangana, India
Real vs Fake Job Posting Detection
June 28, 2026 – Present
• Designed a real-time ML classification pipeline on GCP using Pub/Sub, Dataflow, and Cloud Composer to detect fraudulent job postings at scale.
Loan Prediction System
June 28, 2026 – Present
• Built an end-to-end machine learning pipeline for loan approval prediction using classification algorithms and feature engineering techniques. • Deployed the trained model as a scalable REST API using FastAPI for real-time prediction and seamless frontend integration.
Data Engineering Certified
Revature
January 1, 2025 – Present
Java Development Certification
Naresh I Technologies
January 1, 2023 – Present
Cultural Fit Analysis
The candidate has experience across data engineering, AI/ML, and software development internships, indicating adaptability and a broad interest in technical roles. The projects demonstrate initiative (personal project) and the ability to work within structured environments (internship project). The target role of 'AI Engineer' aligns well with the candidate's stated interests and skills in ML, Deep Learning, and Generative AI. However, the experience level (1) and the nature of internships suggest a need for mentorship and structured growth within a team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions and collaborate with cross-functional teams. The internship experience suggests a learning-oriented and supportive team member. However, specific examples of problem-solving, leadership, or complex decision-making are not detailed.