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Abhinav Kumar on Muck Rack

Abhinav Kumar

Düsseldorf
As seen in: LinkedIn, Medium, MSN, Nature, The Times of India, Wiley, Wiley Online Library, Oracle, PLOS ONE, heart and
Ex-Marketing @Paytm & @Trivago | Now building @trip_ixo , where travel creators turn expertise into paid calls, trips and income.
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Articles

From Proof of Concept to Production: Results, Domain Challenges & the Automation Roadmap

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By Abhinav Kumar
| VKTR.com
Part 3 of a 3-part series on extracting graphical computational narratives from unstructured text. Key Takeaways Graph-based narrative analysis exposed a key inconsistency in a Supreme Court case that took years of appeals to uncover. The project identified major obstacles to automating legal analysis, including entity, ambiguity, translation differences and domain-specific vocabulary.
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Computer Science > Artificial Intelligence

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By Harsha Vardhan, Abhinav Kumar
| arxiv.org
[Submitted on 14 Jul 2026] Title:Audio-Native Speech Recognition with a Frozen Discrete-Diffusion Language Model View a PDF of the paper titled Audio-Native Speech Recognition with a Frozen Discrete-Diffusion Language Model, by Harsha Vardhan Khurdula and 3 other authors View PDF HTML (experimental) Abstract:Automatic speech recognition is dominated by autoregressive decoders that emit one token at a time.
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Building the Pipeline: NLP, Graph Databases & Narrative Extraction

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By Abhinav Kumar
| VKTR.com
Part 2 of a 3-part series on extracting graphical computational narratives from unstructured text. Key Takeaways Visual Judgments (VJ) convert dense court rulings into interactive story graphs using NLP and Neo4j. Splitting judgments into thematic sub-stories, then recombining them, was key to making graphs readable. VJ's initial graph construction was deliberately manual to expose domain-specific NLP failures before automating.
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