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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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pranam-s/README.md

Hi there, I'm Pranam Srivastava 👋

LinkedIn Twitter

I'm a Computer Science student at IIIT Kota with a deep passion for building intelligent and accessible technology. My journey is driven by my experience as a visually impaired developer, which gives me a unique perspective on creating intuitive, human-centered software.

I recently completed my STEP Internship at Google, where I had the incredible opportunity to contribute to agentic AI and developer tools within the Workspace team.

🚀 What I'm Focused On:

  • Co-Founding VedAI: Architecting and building an AI-powered platform to make visual STEM content accessible for blind and low-vision students. (launching soon!)
  • Leading the Community: As the Campus Mantri for the @GeeksforGeeks chapter and a former AI/ML Lead at @GDG IIIT Kota, I'm passionate about fostering tech communities.
  • Continuous Learning: Diving deeper into latest trends, Agentic AI, RAG architectures, and high-performance computing.

🛠️ My Tech Stack:

  • Languages: Python, C++, JavaScript, Java, SQL, Shell Scripting
  • AI/ML: Agentic AI, RAG, TensorFlow, PyTorch, Scikit-learn, LLMs, Computer Vision (OpenCV), NLP
  • Cloud & DevOps: Google Cloud Platform (Vertex AI), Docker, Kubernetes, Git, CI/CD
  • Core Competency: Accessibility Engineering (WCAG, Section 508, Screen Readers)

Pranam's GitHub stats Top Langs

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  1. Reflow Reflow Public

    When the gateway won't tell you why a payment failed, infer it from when and where. Guardrailed payment-failure recovery with a replayable audit trail.

    Python

  2. recall-mcp recall-mcp Public

    Local-first semantic memory broker for AI agents: MCP over stdio and streamable HTTP, plus REST, CLI, and a web UI, all over one SQLite file. Recall blends BM25, embeddings, and recency, with an ex…

    Rust

  3. SamarthAI SamarthAI Public

    Job matching with semantic search and feedback: candidates see why a role fits or does not, instead of getting a silent rejection.

    Python 1