Umesh Chowdary Balla
About Me
Experienced Software Engineer with 3 years of experience in designing and implementing enterprise grade data solutions. Architected mission critical infrastructures that achieve 40% faster data processing with 99.9% precision. Transformed complex data ecosystems using multi cloud technologies, driving strategic decision making through predictive models. Optimized machine learning workflows and established scalable analytics frameworks across AWS, Azure, and GCP, enhancing organizational performance through data-driven strategies.
Education
PURDUE UNIVERSITY, INDIANAPOLIS
Graduated with an MS in Computer and Information Sciences from IUPUI, where I studied core subjects like Software Engineering, Advanced Object-Oriented Programming, Data Mining, Machine Learning, Cloud Computing, Web Development, and Computer Systems Security.
Aug 2022 – May 2024
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY, INDIA
Bachelor of Technology in Computer Science & Engineering, covering Data Structures, Algorithms, DBMS, Operating Systems, Computer Networks, and Web Technologies.
Aug 2017 – Aug 2021Skills
Programming Languages: Python, Java, SQL, Scala
Big Data Technologies: Apache Spark, Apache Hadoop, Apache Kafka, Apache Flink, Apache Hive
ETL & Workflow Orchestration: Apache Airflow, Apache NiFi, Talend, Informatica
Databases: MySQL, PostgreSQL, MongoDB, Cassandra
Cloud Platforms: AWS (S3, Redshift, EMR), Google Cloud (BigQuery), Azure (Data Lake, Azure SQL Database)
Data Warehousing: Snowflake, Amazon Redshift
Data Visualization: Tableau, Power BI
DevOps & CI/CD: Git, Docker, Kubernetes, Jenkins
Machine Learning Frameworks: TensorFlow, Scikit-learn
Work Experience
Humana Inc. – Data Engineer
Built scalable data pipelines using Spark, Databricks, and Kafka to enable real-time patient data processing, improving data availability by 35%.
VuNet Systems – Data Engineer
Engineered efficient risk analytics and fraud detection pipelines leveraging statistical models and real-time anomaly detection.
VuNet Systems – Data Engineer Intern
Led design and optimization of scalable ETL pipelines with Spark and Airflow, reducing processing time by 30% and ensuring data accuracy.
Projects
BENCHMARKING OF MACHINE LEARNING ALGORITHMS ON HYPERNYM DETECTION
Comparative study of ML models (SVM, XGBoost, TensorFlow) for hypernym detection in NLP.
STUDENT SURVEY MANAGEMENT
Microservices-based Spring Boot application with MySQL & Kubernetes for student feedback.
E-COMMERCE CUSTOMER SEGMENTATION AND RECOMMENDATION SYSTEM
RFM clustering and personalized recommendation engine using Python and Scikit-learn.
CLOUD-NATIVE BACKEND SERVICE FOR MUSIC STREAMING APPLICATION
AWS-powered microservices backend with S3, EC2, Lambda, API Gateway, Redis caching, and auto-scaling.