---
title: "Jaswanth Kunisetty - AI Engineer II in Bengaluru | Tal"
description: "Meet Jaswanth Kunisetty, AI Engineer II @ Stealth Startup | Ex-MLE @ Thoughtworks | AI & SDE based in Bengaluru. AI stack includes hugging face, langchain, and ollama."
image: "https://tal.club/meet/jaswanth-kunisetty/share-image"
---

# Jaswanth Kunisetty on Tal

## Headline

AI Engineer II @ Stealth Startup \| Ex\-MLE @ Thoughtworks \| AI & SDE

## About

Driven by a passion for AI and software development, I love turning complex problems into impactful solutions\. From digitizing centuries\-old documents to creating intelligent systems, my journey has been fueled by curiosity and innovation\. I'm eager to contribute my skills in AI and SDE roles to build technology that truly makes a difference\.

## Location

Bengaluru

## AI stack

hugging face

langchain

ollama

opencode

claudecode

OpenRouter

## Work experience

AI Engineer II at Stealth Startup, May 2026 \- Present · 4 mos, Remote

Consultant \- Machine Learning Engineer at Thoughtworks, Jan 2026 \- Apr 2026 · 4 mos, • Led a repo\-wide MLOps v2 migration, enabling unified deployment of Databricks pipelines, GenAI services, and containerized micro\-services in a single codebase; reduced cross\-repo sync/maintenance effort by \~60%\. • Automated post\-pipeline validation and stakeholder reporting using AWS Lambda \+ EventBridge, replacing manual verification \+ email workflows; improved decision turnaround from hours to minutes\. • Designed and deployed a Flask \+ Kubernetes review workflow app integrating with SQS queues and API events\. Adopted by \~40\+ stakeholders across 14 markets, eliminating manual SQS\-based review cycles and cutting approval time by \~80%\.

Associate \- Machine Learning Engineer at Thoughtworks, Jan 2025 \- Jan 2026 · 1 yr 1 mo, Bengaluru, • Optimized Spark\-based Databricks ML pipelines on AWS, reducing runtime by \~40% and accelerating marketing analytics delivery across 14 live countries, directly improving stakeholder reporting SLAs\. • Supporting large\-scale ML platform modernization for a global pharmaceutical client, spanning pipeline optimization, MLOps v2 migration, automation, and GenAI\-driven document intelligence\. • Contributed to a GenAI \+ graph\-augmented retrieval PoC for intelligent search over 5K\+ GxP documents, demonstrating cross\-reference graph building \+ RAG\-based semantic retrieval for domain experts\. • Built strong collaboration channels with Data Science, DPH, and product teams, proactively identifying blockers during Germany/Italy go\-lives and the US revamp, preventing delays and migration risk across markets\.

Machine Learning Engineer at HyperWorks Imaging, Aug 2024 \- Dec 2024 · 4 mo, Bengaluru, Karnataka, India, • Engineered a multi\-model OCR \+ CV \+ DL pipeline for lithology documents \(TIF/PDF >200MB\), achieving <5% extraction error tolerance across numeric and graphical data used in geological analysis\. • Segmented depth curves, tabular logs, geological annotations and structural graphs using custom UNet/YOLO\-based models, followed by OCR correction with ML\-driven post\-processing\. • Built a multi\-stage inference system combining graph segmentation \+ numeric extraction \+ text normalization, sustaining high fidelity across 4K\+ complex documents\. • Automated full document digitization workflow, eliminating \~90% manual inspection effort and enabling downstream analytics for domain experts\. • Contributed to a RAG\-based GenAI retrieval system using FAISS \+ LLMs to surface insights from digitized lithology datasets with \~84% faster information lookup vs manual search\.

Python Developer Intern at BNP Paribas CIB, Jan 2024 \- Jul 2024 · 6 mo, Chennai, Tamil Nadu, India, • Developed a ServiceNow\-integrated chatbot that automated ticket creation, reducing manual navigation efforts by >70%\. • Automated scheduling & document\-processing tasks using Python \+ Selenium, saving 5–7 hours/week of repetitive work\. • Created a real\-time JIRA analytics dashboard supporting release planning and delivery decisions with interactive data visualizations\.

AI Intern at Innovation Incubator Advisory, Jul 2022 \- Aug 2022 · 2 mos, India, Developed and orchestrated a deep learning model for image denoising with an accuracy of 82\.36%, using TensorFlow, Python, and Git, showcasing my expertise in AI and ML tools development\.

Python Developer Intern at Acceleron Labs, Oct 2021 \- May 2022 · 7 mo, Bengaluru, Worked on speech recognition projects using NVIDIA NeMo libraries, contributing to the development of efficient speaker recognition models with up to 90% accuracy\.

## Education

Bachelor of Technology, Artificial Intelligence, Amrita Vishwa Vidyapeetham

[View the original profile](https://tal.club/meet/jaswanth-kunisetty)

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