I am a Software Engineer focused on architecting robust backend systems, scaling cloud infrastructure, and applying deep learning to natural language processing. My professional journey is driven by a passion for creating highly optimized, fault-tolerant applications and scalable data pipelines.
🎓 MSc in Applied Computer Science @ Georg-August-Universität Göttingen
🎓 B.Tech in Computer Engineering @ Pandit Deendayal Energy University
🏢 Former Junior Software Engineer @ InfoAnalytia
- High-Performance Data Analytics Working with Spark, distributed frameworks, and High-Performance Computing (HPC) environments to process and analyze data at scale.
- Deep Learning for Natural Language Processing Applying concepts from advanced NLP coursework to design and implement sophisticated neural network architectures.
- Distributed Backend Architecture Decoupling database operations using message brokers like RabbitMQ and optimizing asynchronous data pipelines for system reliability.
- System Orchestration & Automation Developing and maintaining automated workflows to reduce manual overhead and improve cross-team productivity.
- Contributing to open-source projects centered around distributed computing, backend infrastructure, and NLP.
- Engaging in discussions about system scalability, microservices architecture, and high-performance environments.
- Partnering on practical tools that enhance developer workflows and overall system resilience.