---
title: "Vineet Nag V - Data Science Intern in Bengaluru | Tal"
description: "Meet Vineet Nag V, 4x Hackathon Winner based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/vineet-nag-v/share-image"
---

# Vineet Nag V on Tal

## Headline

4x Hackathon Winner

## About

I build AI\-native products for complex, high\-stakes environments where messy human habits meet probabilistic models\. Where software has to work reliably under real\-world constraints\. I hold a B\.Tech \(Hons\.\) in Computer Science & Engineering \(Data Science\) with a Minor in Psychology\. This combination shapes how I approach product\. I start with user friction and cognitive ergonomics before evaluating technical architecture\. Rather than treating AI as an autonomous black box, my focus is on human\-in\-the\-loop systems, deterministic guardrails, and intuitive interfaces that earn user trust\. I let user behavior drive feature decisions, willingly shelving over\-engineered ideas when simpler, high\-utility flows drive better task comprehension\. I advocate for the design of more effective AI interactions, ensuring that the tool being created, is truly optimised for the people who use them\. Beyond technical execution, I am a firm believer that the best solutions emerge from diverse viewpoints\. I am equally at ease taking the lead on complex, independent research as I am working within a multidisciplinary team to meet tight deadlines\. My background in Psychology has helped me navigate team dynamics, foster clear communication, and resolve conflicts, ensuring that a project's technical goals remain aligned with the collective vision and the end\-user's needs\. I am passionate about using data to solve social problems from a human\-centered perspective\. I'm also an avid watcher of cricket and I love playing video games with my friends in my free time\!

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

codex

cursor

gemini

## Work experience

Data Science Intern at Amagi, Jun 2026 \- Present · 4 mo, Bengaluru, • Crafted active learning pipelines for computer vision models, prioritizing low\-confidence video frames to cut manual annotation volume by ∼30% and accelerate model iteration velocity\. • Orchestrated data annotation operations by establishing standardized acceptance criteria, review queues, and daily feedback loops with annotators, resolving class ambiguities to boost labeling throughput by 25%\. • Targeted real\-world model failure modes by building heuristic sourcing pipelines, curating high\-signal public video data to fortify model robustness against rare visual edge cases\.

AI & Data Intern at Prognos Labs, Jan 2026 \- Jun 2026 · 5 mo, Remote, • Spearheaded the product architecture for a clinical documentation tool for Indian OPDs; drove the pivot from custom models to multimodal LLMs to deliver draft notes in <56 seconds, cutting documentation time by 60%\. • Suppressed hallucinations to 5% and achieved 99\.5% speaker diarization accuracy\. • Diagnosed a 46% clinical detail drop\-off during summarization; restructured the response schema to boost Medical Term Recall by \~27%\. • Designed clinician\-centric interaction flows, including an inline “Magic Input” AI co\-pilot, visual diff tracking \(additions/deletions\), version rollbacks, and interactive onboarding spotlights to maximize physician trust\. • Architected multi\-tenant subscription tiers with automated trial provisioning and longitudinal patient profile memory, enabling cross\-encounter continuity across 10 major Indian languages without semantic bleeding\.

Summer Intern at Hitachi Energy, Jun 2024 \- Aug 2024 · 2 mo, Bengaluru, • Led a 3\-person intern team that conceptualized and deployed an internal knowledge chatbot via MS Power Virtual Agent, streamlining new\-hire discovery journeys and cutting recurring HR/IT inquiry tickets\. • Mapped enterprise data discovery friction and architected a centralized Power Apps portal for internal T\-code management, eliminating data lookup bottlenecks\.

## Education

B\.Tech\. \(Hons\.\) Computer Science and Engineering – \(Data Science\), Specialization in Deep Learning, Minor in Psychology, Vidyashilp University

Vidyashilp Academy

## Public links

- github: https://github\.com/vineetnagv

[View the original profile](https://tal.club/meet/vineet-nag-v)

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