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adityavaidya108/README.md

Aditya Vaidya

GTM & Forward Deployed Engineer | AI & Backend Architect

Specializing in high-velocity backend systems, distributed data orchestration, and autonomous AI pipelines.

🧠 Engineering Focus

I bridge the gap between core backend data architecture and production-grade LLM orchestration layers. I treat AI not as a novelty, but as an infrastructure primitive to be composed alongside robust microservices, webhooks, and event-driven data streams.

  • Data Orchestration & Integration: Designing loosely coupled, high-throughput pipelines, webhook listeners, and reverse ETL schemas using Python (FastAPI) and C# .NET.
  • Generative AI Platform Engineering: Architecting deterministic LLM pipelines using LangChain, prompt engineering matrices, and Pydantic structured parsing loops to handle volatile enterprise data inputs.
  • Browser Automation & Scraping Infrastructure: Building robust, headless browser-automation systems using Playwright and Chrome Extension APIs (Manifest v3) to extract and normalize highly unstructured web layouts.

🛠️ Tech Stack

Languages & Core

AI & Frameworks


🚀 Featured Projects

Autonomous Job Application Agent & Platform

  • Architecture: Modular FastAPI backend designed for loose coupling between LLM agents and job board scrapers.
  • AI Implementation: Orchestrated LangChain + GPT-4 workflows for context-aware resume tailoring and field mapping.
  • Production Ready: Implemented MVP pipelines for PDF generation and automated form injection via a Chrome Extension.

Hybrid Static Analysis & LLM Verification Tool

  • Innovation: Combined deterministic Regex scanning with LLM-based context verification to drastically reduce false positives in security audits.
  • Agentic Workflow: Implemented LangGraph agents to recursively analyze code vulnerabilities and suggest remediation.
  • Performance: Built smart caching layers to optimize API token usage and latency.

Multi-threaded TCP Server Implementation

-Systems Depth: Built a raw TCP server in C using Berkeley Sockets without high-level networking libraries. -Concurrency: Implemented I/O Multiplexing (select) to handle multiple concurrent client sessions efficiently. -Protocol Design: Engineered a custom binary message exchange protocol for real-time matchmaking.


💬 Connect

LinkedIn Email

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  1. AutoApply.AI AutoApply.AI Public

    An AI agent that rewrites your resume, finds matching jobs, and applies for them autonomously.

    JavaScript

  2. CodeReviews.Console.ShiftsLogger CodeReviews.Console.ShiftsLogger Public

    Forked from the-csharp-academy/CodeReviews.Console.ShiftsLogger

    C#

  3. I.P-address-AVL I.P-address-AVL Public

    C

  4. TcpServerinC TcpServerinC Public

    C

  5. CodeReviews.Console.ExerciseTracker CodeReviews.Console.ExerciseTracker Public

    Forked from the-csharp-academy/CodeReviews.Console.EcommerceApi

    C#

  6. CodeReviews.Console.UnitTests CodeReviews.Console.UnitTests Public

    Forked from the-csharp-academy/CodeReviews.Console.UnitTests

    C#