Headline

AI Engineer | LLM Pipelines, Automation & 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&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 & 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&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 & 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&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 & 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