---
title: "Sai Chiranthan Gowda - AI Analyst in Greater Bengaluru Area | Tal"
description: "Meet Sai Chiranthan Gowda, AI Analyst @ Augnito || AI undergrad @NITK26 based in Greater Bengaluru Area. AI stack includes opencode and claudecode. Explore public work links including github."
image: "https://tal.club/meet/sai-chiranthan-gowda/share-image"
---

# Sai Chiranthan Gowda on Tal

## Headline

AI Analyst @ Augnito \|\| AI undergrad @NITK26

## About

I am a passionate Artificial Intelligence student at the National Institute of Technology Karnataka, Surathkal, with a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing, with hands\-on experience in AI engineering and R&D internships\. I’ve worked on scalable voice agent systems, advanced NLP for document analysis, and developed an advanced Retrieval\-Augmented Generation \(RAG\) system for ESG documents\. My projects include bankruptcy prediction using NLP and urban mobility management\. Skilled in Python, Java, and machine learning frameworks, I’m also a student\-athlete and active participant in campus organizations and events\. I thrive on solving complex problems and transforming unstructured data into actionable insights\. With a keen interest in AI research and its real\-world applications, I am eager to contribute to innovative projects and collaborate with like\-minded professionals in the tech industry\.

## Location

Greater Bengaluru Area

## AI stack

opencode

claudecode

## Work experience

AI Analyst at Augnito, Jun 2026 \- Present · 3 mos, Hybrid

NLP Research Intern at Augnito, Jan 2026 \- Jun 2026 · 6 mos, On\-site, • Conducted R&D on drug spell correction pipelines for clinical vocabulary normalization in medical transcription workflows\. • Built an LLM\-as\-Judge framework to assist SOAP validation, boosting throughput by 10× with metrics\-driven quality checks\. • Contributing to multiple confidential R&D initiatives in healthcare LLM adaptation under restricted information\-sharing guidelines\. • Co\-authored a research paper on clinical LLM evaluation for medical hallucination detection: arxiv\.org/abs/2604\.14829

AI & Data Engineering Intern at OmicsBank, Aug 2025 \- Oct 2025 · 3 mos, New York, United States, \- Engineered automated clinical longitudinal data extraction pipelines in Python, processing any heterogeneous patient records\. \- Built batch processing workflows & semi\-automated evaluation pipeline, structuring outputs into OMOP Common Data Model\. \- Achieved 85% extraction accuracy \(89% precision, 92% recall\) through iterative evaluation & post\-processing pipelines\.

AI Engineer Intern at Turbostart, Feb 2025 \- Jul 2025 · 6 mos, Bengaluru, Karnataka, India, worked as an Junior AI engineering Developer in AI Voice\-Agent engineering projects • Developed and deployed a scalable, AI\-powered voice agent using Plivo and Ultravox for automated inbound and outbound calls\. • Implemented a distributed system using Google Cloud Pub/Sub to manage high\-volume asynchronous call tasks\. • Built a FastAPI\-based webhook service in Python to process call events, update MongoDB, and handle business logic\. • Designed a shared state management system using MongoDB for consistent data tracking across application instances\. • Performed R&D to build an in\-house speech\-to\-text and text\-to\-speech service using Fixie\-ai STT and Kokkoro TTS, aiming to reduce external API dependency and call starting delay by 1 second\.

Software Research Engineer \- Intern at Jump1K, Dec 2024 \- Feb 2025 · 3 mos, Remote, • Researched various methods for extracting text, tables, and images from ESG documents, including pdfplumber, PyMuPDF, and layout\-based detection with Detectron2\. • Implemented and evaluated OCR techniques using Mistral AI and Tesseract for handling scanned and low\-quality PDFs\. • Built a Retrieval\-Augmented Generation \(RAG\) system for ESG document analysis using semantic chunking, query classification, and Google’s GenAI APIs\. • Integrated FAISS for efficient vector similarity search and implemented streaming responses with dynamic prompting techniques\.

Executive member at IE Robotics, Jan 2023 \- Jan 2025 · 2 yrs 1 mo, NITK

Member at IE Robotics, Dec 2022 \- Jan 2025 · 2 yrs 2 mos, NITK

## Education

Bachelor of Technology \- BTech, Artificial Intelligence, National Institute of Technology Karnataka

Inter college, PCMC, Tapas

## Public links

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

[View the original profile](https://tal.club/meet/sai-chiranthan-gowda)

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