
Sarthak sanghavi
@sarthaksanghavi
GenAI Engineer at CodeSage building grounded LLM assistants and offline-first platforms.
What I'm looking for
At CodeSage India Private Limited, I build an LLM-powered discovery assistant and an offline-first Monitoring/Evaluation platform for a nonprofit client. The assistant works across web and WhatsApp, in text and voice, and supports nine Indian languages.
I focus on making answers grounded and safe: the system discloses when its corpus has no answer, keeps citations clean, and suppresses dead-domain links. I also built a second assistant over the client's voice archive, from prototype to demo in four days.
I re-architected the answer core with a provider gateway, identity-gateway authentication, Redis state, and SSE streaming. A 414-case parity harness verified that the rebuilt core matched what it replaced; I also root-caused and fixed two user-blocking production incidents.
Before CodeSage, I worked across full-stack and frontend roles at DataNova, Azilen Technologies, NinjaTech, Webelight Solutions, and IIH Global. At Azilen Technologies, I led frontend architecture and mentored a team of 5+ developers; at Webelight Solutions, I built React and React Native component libraries and data dashboards.
Experience
Work history, roles, and key accomplishments
GenAI Engineer building an LLM-powered discovery assistant and an offline-first Monitoring/Evaluation platform for a Bengaluru-based nonprofit client. On-site, two workstreams.
• RAG + LLM assistant — Python retrieval service (Qdrant vector DB, Ollama embeddings), LLM-as-a-Judge confidence scoring, chunk/metadata admin portal. Stack: React, NestJS, Python.
• v2 re-architecture — provider gateway r
Senior Full Stack Engineer on a 5-month engagement focused on building and scaling React-based web applications with a REST API backend.
• Shipped production React features with a focus on clean component architecture, state management, and rendering performance.
• Designed and integrated REST APIs; collaborated on contract design with backend engineers.
• Drove code quality through reviews, cons
- Led frontend architecture for scalable SaaS platforms using React.js, React Native, and TypeScript.
- Mentored a team of 5+ developers and conducted regular code reviews.
- Improved app performance by 40% by optimizing rendering strategies and bundle size.
- Integrated third-party APIs and analytics tools, enhancing product capability and UX.
- Designed and implemented responsive UI components using React Native and Firebase.
- Improved product engagement by 30% with intuitive UX/UI.
- Worked on cross-platform features and implemented secure authentication flows.
- Created custom component libraries in React and React Native to streamline development.
- Developed dashboards with D3.js and React, providing real-time data visualizations.
- Reduced code duplication by 50% and improved state management with Redux Toolkit.
- Handled end-to-end product lifecycle from design to deployment.
- Built a full-stack application using React, Node.js, and MongoDB.
- Optimized state management and improved performance using Redux.
- Worked closely with UI/UX designers and QA to ensure feature stability and responsiveness.
Worked as Software Trainee at ConceptServe Technologies.
Education
Degrees, certifications, and relevant coursework
Mahapragya Vidya Niketan
Ganpat University
Bachelor of Engineering - BE, Computer Science
2017 - 2020
Coursera
Data Science Orientation
Apr 2020
Coursera
Python for Data Science and AI
May 2020
Coursera Course Certificates
Data Science Foundations Specialist
May 2020
Coursera
Data Analysis with Python
May 2020
Coursera
Applied Data Science Capstone
Jun 2020
Coursera
Data Science Professional Certificate
Jun 2020
Ganpat University - B. S. Patel Polytechnic
Diploma in Engineering, Computer Science
2012 - 2017
Coursera
Data Science Methodology
May 2020
Coursera
Data Visualization with Python
May 2020
Coursera
Databases and SQL for Data Science
May 2020
Coursera
Machine Learning with Python
May 2020
Coursera
Open Source Tools for Data Science
May 2020
Availability
Location
Authorized to work in
Website
sarthak-sanghavi.vercel.appSalary expectations
Social media
Job categories
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