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Entry-level AI Engineer with strong machine learning and data science skills.
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Piyush Sonker is an aspiring AI Engineer pursuing a B.Tech in Electrical Engineering at Malaviya National Institute of Technology, Jaipur. With a data science internship at Airtel and hands-on experience in building ML/NLP models and RAG systems, Piyush demonstrates proficiency in machine learning, deep learning, MLOps, and data analytics tools. Eager to contribute to innovative AI-driven solutions.
Malaviya National Institute of Technology, Jaipur
Bachelor of Technology · Electrical Engineering
November 1, 2022 – June 30, 2026
Kendra Vidyalaya, Punjab Lines
+2 Intermediate
N/A – May 31, 2022
BBSSM, Meerut
Matriculation
N/A – May 31, 2020
Airtel
Data Science Intern
May 1, 2025 – July 1, 2025
Gurgaon, Haryana, India
RAG-Based Document Intelligence System
October 1, 2025 – Present
Designed a production-grade RAG pipeline using embeddings, vector search, and LLMs for document-based Q&A. Built scalable retrieval and indexing workflows with FAISS for fast similarity search. Deployed the system using FastAPI and Docker for real-time, low-latency inference. Implemented pipeline optimization and modular architecture for scalability and maintainability.
Epilepsy Detection using EEG Signals
May 1, 2025 – Present
Preprocessed EEG signals using filtering, artifact removal, and window segmentation. Engineered statistical and frequency-domain features for early seizure pattern detection. Trained SVM and Random Forest models and compared performance using cross-validation. Evaluated model reliability using F1-score, ROC-AUC, and confusion matrix analysis.
Data Analytics Job Simulation
Deloitte (Forage)
October 1, 2025 – Present
Data Analytics Essentials
Cisco
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in leadership roles (Vice-President, Marketing Executive) and diverse personal projects (RAG system, Epilepsy Detection) suggest a proactive, curious, and collaborative individual. The blend of academic rigor and practical application aligns well with a culture that values innovation and hands-on problem-solving. The target role of AI Engineer aligns well with the candidate's project experience and technical skills.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills, stakeholder communication, cross-team collaboration, and ownership through project descriptions and positions of responsibility. These indicate a good operational fit for collaborative and project-driven environments.