---
title: "Ganesh Shinde - Software Engineer (Frontend & CI/CD Systems) in Greater Bengaluru Area | Tal"
description: "Meet Ganesh Shinde, AI Engineer | LLM Pipelines, Automation & AI Systems | Building Real-World AI Products | React / Next.js based in Greater Bengaluru Area. AI stack includes gemini, langchain, and ollama."
image: "https://tal.club/meet/ganesh-shinde/share-image"
---

# Ganesh Shinde on Tal

## Headline

AI Engineer \| LLM Pipelines, Automation &amp; AI Systems \| Building Real\-World AI Products \| React / Next\.js

## About

I’m a software engineer who enjoys building real\-world systems at the intersection of AI, product, and scalable engineering\. Early in my career, I focused heavily on frontend and full\-stack development—shipping multiple products across web and mobile\. Over time, I naturally moved towards solving higher\-impact problems, which led me into AI systems and backend workflows\. At Bewell, I worked as a founding engineer where I built an AI\-powered health analysis platform from 0→1\. I designed and implemented LLM\-based systems using Gemini and Vertex AI to process large\-scale unstructured health data and convert it into structured insights\. These systems powered features like health report analysis and monthly user insights\. I also built an end\-to\-end automation pipeline that converted AI outputs into structured PDF reports—reducing manual effort from days to seconds\. Alongside this, I worked on HIPAA\-aware system design, prompt engineering, and real\-world reliability challenges of LLMs in production\. Currently, I’m working at Black Duck, where I contribute to systems that integrate SCM platforms with automated CI/CD security workflows\. I’ve owned major features like GitLab integration, worked on pipeline generation logic, and solved system\-level challenges around cross\-platform execution environments\. What defines me is ownership and speed\. I ramp up quickly, take responsibility for entire features, and go beyond assigned work—whether that means diving into backend systems, doing R&amp;D, or building internal tools to improve workflows\. I’m particularly interested in: \- AI systems \(LLMs, pipelines, applied AI\) \- Building 0→1 products in fast\-paced environments \- Solving real\-world engineering problems beyond just UI I’m actively exploring opportunities where I can work on impactful AI\-driven products, especially in startup environments\. Portfolio: https://ganeshshinde2003\.netlify\.app/ GitHub: https://github\.com/Ganeshshinde\-2003

## Location

Greater Bengaluru Area

## AI stack

gemini

langchain

ollama

openai

## Work experience

Software Engineer \(Frontend &amp; CI/CD Systems\) at Black Duck, Nov 2025 \- Present · 6 mos, Bengaluru, \- Contributing to the Integration platform by building features that connect SCMs \(GitHub, GitLab, Bitbucket, Azure\) with automated security scanning workflows \- Owned the GitLab integration end\-to\-end, handling UI development, workflow logic, and gaining system\-level understanding despite being one of the junior engineers on the team \- Built features that enable users to select repositories and scan types, automatically generating and injecting CI/CD pipeline configurations \(YAML\) into repositories \- Went beyond frontend by learning backend flows, SCM integrations, and CI/CD execution pipelines to deliver end\-to\-end functionality \- Solved a key system challenge: \- Identified limitation in GitLab CI/CD where a single script cannot run across different runner environments \(Linux/Windows\) \- Designed and implemented dynamic OS\-based pipeline generation, allowing users to select runner type and generating compatible YAML workflows \- Actively debugged and resolved production issues, improving system stability and user experience \- Conducted R&amp;D on SCM behaviors and CI/CD limitations to support product decisions and implementation strategies \- Increased frontend test coverage from 21\.7% to 90\.4% by writing extensive test cases, significantly improving reliability \- Contributed to internal developer tooling such as Bridge CLI, gaining exposure to broader system architecture \- Quickly ramped up in a complex multi\-product environment \(9\+ products\), demonstrating strong ownership and fast learning ability

Founding AI &amp; Full Stack Engineer at Bewell app, May 2025 \- Oct 2025 · 6 mos, \- Built and scaled an AI\-powered health analysis platform from 0→1 as a founding engineer \- Designed and implemented LLM\-based systems \(Gemini \+ Vertex AI\) to convert unstructured health data into structured JSON insights \- Developed two AI systems: \- Health report analysis \(doctor reports \+ onboarding data\) \- Monthly health insights engine \(based on user logs and activity\) \- Engineered multi\-step prompt pipelines to handle large inputs \(\~60K tokens\) and generate structured outputs \(\~100K tokens\) \- Built a complete automated reporting system converting AI outputs \(JSON\) into structured PDF reports \- Reduced manual report creation time from 2–5 days to under 30 seconds per report \- Implemented HIPAA\-aware architecture using Vertex AI to handle sensitive healthcare data securely \- Led R&amp;D on LLM reliability, prompt design, and real\-world AI system behavior \- Built and optimized the Bewell mobile app \(Flutter\) and admin panel \(React\) \- Reduced app size from 35MB to 14\.6MB \(\~60% improvement\) \- Worked cross\-functionally as a founding member contributing to product, architecture, and feature decisions

AI &amp; Frontend Engineer at Bewell app, Nov 2024 \- Apr 2025 · 6 mos, \- Built the Bewell mobile app from scratch and launched beta on Play Store and App Store \- Integrated AI\-powered features using Gemini for personalized health insights \- Developed React\-based admin panel for handling large datasets and workflows \- Initiated and explored Generative AI use cases that later evolved into production systems \- Improved app performance, UX, and scalability \- Reduced app size from 35MB to 14\.6MB \(\~60% reduction\)

Frontend Developer at ParaTalks, Jun 2024 \- Sep 2024 · 4 mos, Delhi, India, Developed and Enhanced Mobile App Front\-End: Utilized Flutter and Bloc for state management to build a robust and scalable mobile app, integrating features like appointment booking, payment systems, and expert showcases, ensuring a seamless and user\-friendly experience\. Implemented Efficient Remote Work Methodologies: Maintained high productivity and transparency by adhering to the company's strict remote work protocols, including daily check\-ins and task tracking through the CRM portal, ensuring timely and efficient task completion\. Optimized Application Performance: Applied best practices in state management and architecture, significantly improving app performance and maintainability, leading to enhanced user satisfaction and engagement\.

Full Stack Developer at OSCode, Oct 2023 \- Jun 2024 · 9 mos, Bengaluru, Karnataka, India, Desktop App Development: Played a crucial role in developing a school management desktop app using React\.js, Tailwind, CSS, and Electron\. Contributed to front\-end and Firebase\-backed back\-end functionalities\. Mobile App Contribution: Worked on a mobile app for students, creating features like the date of birth page and notice period page using Flutter and Firebase\. Developed a location tracking app for school buses\. Multifaceted Contribution: Demonstrated versatility by contributing to both desktop and mobile applications, showcasing adaptability and proficiency in diverse technologies\.

Startup Mentor at Nth space solutions, Feb 2024 \- Apr 2024 · 3 mos, Bengaluru, Karnataka, India, Provided hands\-on mentorship to frontend developers at Nth Space Technologies for 3 months, emphasizing React, JavaScript, and CSS during project development\. Offered guidance on React component architecture, state management, and responsive design principles in real\-world project scenarios\. Facilitated skill enhancement through practical experience, empowering developers to effectively apply React concepts and excel in frontend development tasks\.

## Education

Bachelor of Technology \- BTech, Computer Science, Dayananda Sagar University

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

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