2 citations · 2 across the 6 of their papers we have counts for
6 papers
Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
Deepak Babu Piskala
The rise of AI coding assistants has reignited interest in an old idea: what if specifications-not code-were the primary artifact of software development? Spec-driven development (…
From Everything-is-a-File to Files-Are-All-You-Need: How Unix Philosophy Informs the Design of Agentic AI Systems
Deepak Babu Piskala
A core abstraction in early Unix systems was the principle that 'everything is a file', enabling heterogeneous devices and kernel resources to be manipulated via uniform read/write…
The AI Roles Continuum: Blurring the Boundary Between Research and Engineering
Deepak Babu Piskala
The rapid scaling of deep neural networks and large language models has collapsed the once-clear divide between "research" and "engineering" in AI organizations. Drawing on a quali…
PROFASR-BENCH: A Benchmark for Context-Conditioned ASR in High-Stakes Professional Speech
Deepak Babu Piskala
Automatic Speech Recognition (ASR) in professional settings faces challenges that existing benchmarks underplay: dense domain terminology, formal register variation, and near-zero…
Mind the Goal: Data-Efficient Goal-Oriented Evaluation of Conversational Agents and Chatbots using Teacher Models
Deepak Babu Piskala, Sharlene Chen, Udita Patel +2
Evaluating the quality of multi-turn chatbot interactions remains challenging, as most existing methods assess interactions at the turn level without addressing whether a user's ov…
Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics
Deepak Babu Piskala, Vijay Raajaa, Sachin Mishra +1
With the widespread deployment of large language models (LLMs) such as GPT4, BART, and LLaMA, the need for a system that can intelligently select the most suitable model for specif…