Headline

PAT @Cognizant | AWS Certified Cloud Practitioner (CLF-C02) | Data Engineering | Python, SQL, PySpark, Databricks | Generative AI & LLMs Enthusiast | 3X Research Paper

About

🚀 I’m a Programmer Analyst Trainee at @Cognizant , recently transitioned from a 4-month hands-on internship in AWS + Data Engineering, where I designed scalable ETL pipelines and worked with cloud-native tools across the data lifecycle. 💻 My technical toolkit includes: • Cloud & Platforms: AWS, Azure Databricks • Languages & Tools: Python, SQL, PySpark, Unix Shell Scripting • Core Concepts: DBMS, Data Modeling, Data Warehousing, ETL, Reporting, Big Data 📊 I implemented a Customer Loyalty Program data pipeline using AWS services (S3, Glue, Redshift), focusing on data ingestion, transformation, analytics, and secure automation — enabling data-driven decision-making. 🎓 I completed my B.E. in Computer Science and Engineering (April 2025) and have authored 3 international research papers in the domain of Generative AI, leveraging cutting-edge technologies. I’m passionate about innovation at the intersection of data, cloud computing, and responsible AI. 🔍 Currently exploring: • Generative AI & LLMs in enterprise systems • MLOps pipelines • AI-integrated data platforms Let’s connect to collaborate, explore emerging technologies, or upskill and grow together! 🤝 #DataEngineering #AWS #LLMs #GenerativeAI #AIResearch #Python #BigData #CloudComputing #MLOps #FreshGraduate #Cognizant

Location

Bangalore Urban

Work experience

Programmer Analyst Trainee at Cognizant, Jul 2025 - Present · 1 yr 1 mo

Intern at Cognizant, Mar 2025 - Jul 2025 · 5 mos, As a Data Engineering Intern at Cognizant, I gained practical experience in designing and implementing scalable data pipelines using AWS and big data technologies. Key Responsibilities & Learning Outcomes: Built an end-to-end Customer Loyalty Program ETL pipeline using AWS services: Amazon S3, AWS Glue, and Redshift Serverless. Implemented secure data ingestion, transformation, and analytics workflows using IAM, VPC, and Glue Studio. Performed KPI tracking and SQL-based reporting via Amazon Redshift Query Editor. Automated data export processes from Redshift back to S3 for downstream reporting and archival. Worked hands-on with PySpark for data transformation and Unix Shell scripting for automation tasks. Applied core concepts in DBMS, Data Modeling, Data Warehousing, and ETL development. Gained exposure to Azure Databricks for advanced big data operations and pipeline optimization. Skills Gained: Python · ANSI SQL · AWS (S3, Glue, Redshift, IAM) · PySpark · Data Engineering · Unix & Shell Scripting · DBMS · ETL Concepts · Data Modeling · Reporting · Azure Databricks · Big Data Fundamentals 💡 This experience strengthened my expertise in modern cloud-based data architectures and laid the foundation for my transition into a full-time role as a Programmer Analyst Trainee at Cognizant.

AI/ML Intern at Pureform Dynamics, Apr 2024 - Jun 2024 · 3 mos, Chennai, Tamil Nadu, India, • Developed an AI-powered image generation model using Python, TensorFlow, and Stable Diffusion XL (SDXL) with LoRA, improving image fidelity and face generation accuracy by 20% while optimizing prompt length. • Engineered a scalable runtime template in Google Colab Enterprise (GCP) and Vertex AI, enhancing training efficiency by 30% and reducing trainable parameters by 80% compared to DreamBooth, minimizing computational costs. • Implemented deep learning techniques for image segmentation, style transfer, and enhancement, leveraging Stable Diffusion to build scalable AI-driven solutions.

Education

BE, Computer Science and Engineering, Government College of Engineering, Bargur