VARUN TEJA CHUNDRU

MS Computer Science student at Purdue Fort Wayne with 4+ years of hands-on experience as Senior Data Engineer. Proven expertise in cloud infrastructure, distributed systems, and machine learning pipeline development. Seeking Summer 2026 Software Engineering, Data Engineering, or Machine Learning Engineering internship to apply industry knowledge while deepening academic understanding of advanced computing systems.

• Programming Languages: Python, C++, Java, SQL, Rust, JavaScript, Shell Scripting
• Cloud Technologies: Amazon Web Services (AWS), AWS EC2, AWS Lambda, AWS ECS, AWS S3, AWS RDS, AWS Glue, AWS EMR
• Data Engineering: Apache Airflow, Apache Kafka, PySpark, ETL Pipelines, Data Pipeline Orchestration, Data Lakehouse Architecture
• Machine Learning: TensorFlow, PyTorch, Prophet, ARIMA, SARIMA, OpenAI API, Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP)
• Web Development: Django REST Framework, Flask, RESTful API Development, Full-Stack Development, Microservices Architecture
• Database Systems: MySQL, PostgreSQL, Redis, MongoDB, Vector Databases, Distributed Database Management
• DevOps and Infrastructure: Docker, Docker Containerization, Git, Linux Administration, CI/CD, System Monitoring, ELK Stack
• Additional Technologies: Interactive Brokers TWS API, Network Programming, Distributed Systems, System Administration

AI-Powered Customer Support Automation | 2024 - 2025

• Built end-to-end chat support automation using OpenAI API, n8n workflow automation, PostgreSQL, and Redis infrastructure
• Implemented Retrieval-Augmented Generation (RAG) pipelines with Qdrant vector database achieving enhanced response accuracy for customer queries
• Self-hosted entire infrastructure on AWS EC2 instances, demonstrating full-stack development and DevOps capabilities

Distributed Data Processing System | 2022 - 2025

• Architected multi-account AWS infrastructure using Medallion Architecture with Delta Lake and distributed computing principles
• Implemented real-time data streaming with Apache Kafka and inter-process communication across multiple geographic regions
• Applied advanced system design patterns for fault tolerance, load balancing, and horizontal scaling across cloud infrastructure

Self-Hosted Infrastructure Management | 2023 - 2025

• Deployed complete ELK stack including Elasticsearch, Logstash, Kibana with PostgreSQL and Redis on Linux EC2 instances
• Implemented automated monitoring, logging, and alerting systems reducing operational overhead by 60% through systematic optimization
• Demonstrated expertise in system administration, resource optimization, and security configuration for production environments

Multimodal Speech Emotion Recognition | August 2020 - May 2021

• Implemented Bi-LSTM, Bi-GRU, and BERT-based models using PyTorch achieving 88.3% accuracy on IEMOCAP dataset for emotion classification
• Optimized neural network training with distributed computing and GPU utilization for large-scale model development and evaluation
• Conducted comprehensive performance analysis against existing benchmarks demonstrating improvements in precision, recall, and F1 scores

• Company-wide Innovation Challenge Winner (2024)
• Achieved top 30,000 rank in JEE Main (2017) (1M+ candidates)
• Team Best Employee Award (2022)

• Internship Period: Summer 2026 (May - August 2026)
• Location Preference: Open to relocation across United States
• Work Authorization: F-1 Student visa with CPT eligibility for internships