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shlokkvaishnav/README.md

Hey, I'm Shlokk

CS undergrad at Nirma University building at the intersection of Software Engineering and Artificial Intelligence.

I focus on building scalable systems, intelligent applications, and infrastructure that bridges modern AI with production software. My experience spans backend engineering, AI/ML systems, developer tooling, and performance-oriented software development. I work across the stack—from low-level systems and optimized data structures to production ML pipelines, agentic workflows, and modern web applications.

Interested in problems at the boundary of performance and intelligence: AI infrastructure, agentic systems, retrieval and reasoning architectures and distributed systems.

Connect:

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  1. Replica-Recall-Divergence Replica-Recall-Divergence Public

    Measures whether a replicated approximate-nearest-neighbour index silently diverges in search quality across replicas under node failure — and whether that divergence persists after recovery.

    Python 1

  2. Null-Scaffold-Audit Null-Scaffold-Audit Public

    Measures whether NAS controllers beat budget-matched random-search restarts -- and whether scaffold contribution can be audited mechanically, before publication.

    Python

  3. LLM-Inference-Engine LLM-Inference-Engine Public

    A from-scratch mini-vLLM: continuous batching + paged KV-cache + Triton kernels, benchmarked against real HF and vLLM baselines.

    Python

  4. CardioVascular-Risk CardioVascular-Risk Public

    Production-grade ML system for heart disease prediction featuring a modular ETL pipeline, FastAPI backend, MLflow tracking, and Docker-ready deployment.

    Python 1

  5. Meridian Meridian Public

    A privacy-focused engineering intelligence platform that leverages advanced analytics and GitHub data to surface PR bottlenecks, optimize team velocity, and proactively prevent developer burnout.

    TypeScript

  6. Layoff-Analysis Layoff-Analysis Public

    Forked from kiahcodes/LayoffAnalysis

    Trend, reason, and forecast analysis of tech-sector layoffs, built on a live scrape-clean-serve pipeline.

    Python