Headline

Data Engineer @Cognizant | AWS • PySpark • Airflow | IEEE Published Author | Building Production-Scale Data Pipelines

About

I’m a Machine Learning–focused Data Engineer at Cognizant with a B.Tech in Electronics and Communication Engineering (VIT, 2025), passionate about building intelligent systems on top of scalable data platforms. I have strong hands-on experience in machine learning model development, working across data preprocessing, feature engineering, model training, and evaluation. I’ve implemented supervised and unsupervised learning algorithms including Linear & Logistic Regression, Decision Trees, Random Forests, SVM, KNN, and K-Means, applying them to real-world datasets for prediction and classification tasks. My deep learning experience includes building CNN-based models for image classification and object detection, using TensorFlow and PyTorch. I’m comfortable with concepts like backpropagation, optimizers, regularization, and model performance tuning, and I focus heavily on experiment-driven improvement. What sets me apart is my ability to connect machine learning with production-grade data systems. I’ve worked with AWS-based pipelines, Spark, and SQL-heavy data modeling to ensure ML models are trained on clean, reliable, and scalable datasets. I understand the ML lifecycle end-to-end—from raw data ingestion to model-ready datasets and deployment considerations.

Location

Greater Bengaluru Area

AI stack

claude code

claude

codex

notion

ollama

openai

Work experience

Data Engineer at Cognizant, Jul 2025 - Present · 1 yr 3 mos, Bengaluru

Project Intern at Cognizant, Apr 2025 - Jul 2025 · 4 mos, On-site, Mastered Data Warehousing concepts for efficient storage, retrieval & analytics. Explored Data Lakes for handling unstructured & large-scale raw data. Gained hands-on experience in ETL pipelines: data extraction, transformation, and loading. Practiced Advanced SQL for complex queries, performance tuning & data modeling.

Research Assistant at Vellore Institute of Technology, Nov 2024 - Apr 2025 · 6 mos, Vellore, Tamil Nadu, India, Published an IEEE research paper on Computer Vision and Deep Learning techniques, presented at the 7th International Conference on Signal Processing, Computing and Control (ISPCC) 2025.

Robotics at Kodacy, Dec 2023 - Jan 2024 · 2 mos, Remote, • Engaged in an internship at Kodacy, focusing on robotics and automation solutions. • Gained hands-on experience with microcontrollers and microprocessors in real-life projects. • Contributed to the development of innovative smart home appliances. • Developed foundational skills in Artificial Intelligence, machine learning, and robotics.

Machine Learning Intern at Robofly Technology Private Limited, Jul 2023 - Sep 2023 · 3 mos, Remote, • Specialized in software development and rapid prototyping, focusing on machine learning and database design. • Delivered over 10 successful prototypes for academic and real-world projects, enhancing practical applications of AI. • Achieved 92%+ accuracy in object detection and classification using CNNs, OpenCV, and TensorFlow. • Contributed to 5+ interdisciplinary projects, driving innovative tech solutions in fast-paced environments.

Education

Bachelor of Technology - BTech, Computer Science, Vellore Institute of Technology

Science, BGS National Public School - India