Aman Choudhari

I’m a Software Engineer (Developer Associate Consultant) at SAP Labs India working on large-scale system monitoring, data pipelines, and reliability engineering in enterprise environments.

In my current role, I design and optimize backend data processing systems, including Python-based ingestion pipelines where I improved processing performance by 80% using multiprocessing and reduced database write operations by 70% through pipeline optimization. I work with real-world production telemetry, focusing on anomaly detection, system efficiency, and scalable monitoring.

Previously, I built backend systems using Node.js, PostgreSQL, and Prisma ORM, and integrated AI APIs (OpenAI, Groq) to automate workflows—improving issue resolution time by 25%.

Beyond work, I build applied AI systems, including:

Multi-agent LLM orchestration platforms

Real-time AI voice agents with low-latency pipelines

End-to-end ML systems deployed with backend integration

I have a strong foundation in problem solving (1000+ DSA problems, LeetCode 1901), and I enjoy working on systems that require both engineering depth and practical impact.

I’m particularly interested in

Backend and distributed systems

AI/LLM-powered applications

Data-intensive system design

Always open to working on challenging engineering problems and high-impact systems.

Developer Associate Consultant at SAP Labs India, Pune (via NTT Data Business Solutions) (2025-01 – Present)

Network Scanner (Communication Enabling and Controlling)

• Developed and maintained Python-based Capture and Loader daemons for monitoring and processing high-volume data ingestion pipelines.
• Improved data processing performance by 80% by implementing multiprocessing, enabling parallel execution of ingestion tasks.
• Designed a load-balancing mechanism using a min-heap data structure to distribute workload across processing pools, optimizing resource utilization.
• Reduced database write operations by 70% through query and pipeline optimization, improving overall system efficiency and throughput.

Software Development Engineering Intern at Script Lanes, Pune (2024-06 – 2024-08)

• Developed a comprehensive Dashboard for Ortho AI using modern tech stacks such as Prisma ORM, Node.js and PostgreSQL enabling real-time monitoring of AI interactions and managing data Standardization and Categorization for ortho-related questions. Resulting in the successful migration of 10000+ records without data loss.
• Executed a comprehensive optimization of queries with Groq and OpenAI APIs to automate the standardization and categorization of ortho-related questions, enhancing data accuracy for actionable insights; this initiative enabled the customer service team to resolve issues 25% faster.

Bachelors of Engineering in Electronics and Telecommunications (ENTC) – SCTR's Pune Institute of Computer Technology, Pune, Maharashtra, India (2021-12 – 2025-06)