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Pranav Krovvidi@Pranav17
1
Events attended
1
Submissions made
India
1 year of experience
About me
I’m a Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning, passionate about technology, innovation, and building things that solve real-world problems. I enjoy exploring different areas of software development, from Python and AI/ML to React, backend development, APIs, and databases. I learn best by building projects and experimenting with ideas, especially when they combine technology with practical applications. Beyond engineering, I’m interested in entrepreneurship, finance, and product development. I like understanding not just how a technology works, but also why it matters, what problem it solves, and how it can create real value. I’m currently focused on strengthening my technical skills, working on meaningful projects, and preparing myself for industry opportunities. I’m always looking to learn from new people, exchange ideas, and explore emerging technologies. Ultimately, I hope to combine my interests in AI, engineering, and entrepreneurship to build products that are both technically interesting and genuinely useful.
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🤓 Latest Submissions
SinQ_
SynQ is an engineering knowledge and memory platform designed to solve a common problem in software teams: critical knowledge is scattered across code, documentation, Jira tickets, incidents, architecture decisions, and experienced employees. SynQ connects these sources into a unified, searchable knowledge system where developers can understand not just what was built, but why it was built, who owns it, what it depends on, and what happened before. Developers can explore services, people, architecture decisions, incidents, requirements, and their relationships through the Knowledge Explorer and Knowledge Graph. With Before You Change, a developer can select a service and instantly see important ADRs, recent incidents, critical dependencies, current owners, open requirements, and documented gotchas before making changes. SynQ also provides a grounded AI assistant powered by a Retrieval-Augmented Generation (RAG) pipeline. When a developer asks a question, SynQ retrieves relevant knowledge from the connected data and provides it to Google Gemini, which generates an answer supported by source citations. When sufficient evidence is unavailable, the system explicitly indicates that instead of presenting unsupported information. The platform also preserves institutional knowledge through structured Architecture Decision Records (ADRs), connects incidents to affected services and decisions, and creates personalized developer onboarding plans with automatically generated reading lists and contextual AI assistance. Technically, SynQ is built with React + TypeScript on the frontend, FastAPI + Python on the backend, and PostgreSQL with pgvector for structured data, relationships, and semantic search. Knowledge can be ingested from repositories, documents, Jira and manually created records. Ultimately, SynQ transforms scattered engineering information into connected organizational memory, helping teams onboard developers faster, preserve the reasoning behind technical decisions, reduce repeated mistakes, and give developers the context they need to make informed changes.
27 Sep 2026
