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Madhurima Kommuru

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Review Open access 2025

From Challenges to Solutions: Key Pain Points and Turnarounds in AI Systems

Artificial Intelligence has moved very quickly from experimental innovation to a foundational driver of transformation across industries including healthcare, banking, insurance and logistics, helping companies automate decision-making, enhance user experiences and discover the latest efficiencies. Still, the road from...

Madhurima Kommuru · 0 citations
Review Open access 2025

How to Spot and Fix Python Performance Issues Remotely- Strategies and Techniques

This article is an attempt to share a method by which developers can efficiently isolate and remediate performance issues when they do not have direct access to the runtime environment by combining practical remote profiling, real-time monitoring, and targeted debugging techniques.

Madhurima Kommuru · 0 citations
Open access 2022

Concurrency is hard: Java vs Python pitfalls you can't ignore

This paper examines the practical challenges developers face when implementing concurrency in Java and Python by first presenting a comparative analysis of two very popular programming languages, namely Java and Python, and explains how minor oversights can result in massive outages.

Madhurima Kommuru · 0 citations
Open access 2025

Selecting the Right Data Pipeline Architecture for Reliability and Scale

A formal model that assists practitioners and designers to construct resilient, adaptable, and budget friendly data pipelines, which are in line with the current data needs is delivered.

Madhurima Kommuru · 0 citations
Open access 2023

Performance Bottlenecks Necks in Data Heavy Python Applications

The approach provided here unifies the profiling, benchmark based analysis, bottleneck detection, focused optimization, and quantitative validation into a single procedure and provides practical recommendations to improve computational performance, scalability, and resource consumption of data-intensive Python systems...

Madhurima Kommuru, Appala Nooka Kumar Doodala · 0 citations
Open access 2025

Smarter AI Agents: Optimizing Tokens the Right Way

A practical, human-centric approach to the creation of 'smarter' AI agents, which are not only robust and precise but also resource-efficient and financially sustainable for large-scale deployment in the future is presented.

Madhurima Kommuru · 0 citations
Open access 2024

Assessing the Limitations of LangChain in Production Environments

The paper states that LangChain should be thought of as an orchestration accelerator and not a fully functional runtime framework for LLM-based systems to be broadly adopted by corporations, and improves deterministic execution, runtime tracing, orchestration efficiency, and production observability.

Madhurima Kommuru · 0 citations
2025

Instruction Files Are the Key to Useful AI in Software Development

This article presents a well-organized methodology for crafting and handling instruction files so as to achieve a higher level of uniformity and efficiency in AI-supported developers' operations.

Madhurima Kommuru · 0 citations
Review Open access 2026

How Experienced Developers Can Get More Value from Agents

AI agents are becoming a fundamental part of modern software creation, helping developers in generating code, debugging, designing systems, etc. But there is a clear difference between how beginners and experienced software engineers get benefits from these tools. Newbies usually depend on agents for one-time prompts a...

Madhurima Kommuru, Srujana Pulipaka · 0 citations
Open access 2025

IDE Agent Mode Explained: When to Use It and Which Model to Pick

IDE Agent Mode is changing how the developers work, from writing code to debugging & software management, by embedding powerful AI features right inside popular development setups. This article first conceptualizes IDE Agent Mode as a workflow where AIs are coding partners that not only understand the context of the pr...

Madhurima Kommuru · 0 citations
Review Open access 2020

Challenges of Deep Learning in Natural Language Processing: A Healthcare-Oriented Perspective

In recent years, natural language processing has become an important tool in healthcare for extracting useful information from unstructured clinical text such as electronic health records, physician notes, and medical literature. Deep learning has significantly improved the performance of NLP systems, enabling stronger...

Madhurima Kommuru, Swathi Thatraju, Appala Nooka Kumar Doodala · 0 citations

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