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Rajesh K. AI, Cloud and Full-Stack

My name is Rajesh K. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Python, AI Agent Development, AI Bot, AI Chatbot, LangChain, etc.. I hold a degree in Other, Bachelor of Computer Applications. Some of the notable projects I've worked on include: Automated Testing Framework for Multi-Agent AI Systems, Intelligent Circuit Analysis and IO Mapping System, Voice AI Interviewer, Multi-Agent AI Customer Support Platform, LangGraph AI Code Assistant Platform with Multi-Tool Orchestration, etc.. I am based in Bangalore, India. I've successfully completed 11 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Cloud and Full-Stack

    10 years

  • Python

    5 Years

  • AI Agent Development

    9 Years

  • AI Bot

    5 Years

Direct hire

Potentially possible

Previous Company

Wand AI

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Experience Highlights

Automated Testing Framework for Multi-Agent AI Systems

Built a comprehensive evaluation system for LangGraph agent networks using behavior-driven development principles: • Integrated Cucumber/Gherkin for writing human-readable test specifications that de

Intelligent Circuit Analysis and IO Mapping System

- Automatically processes circuit diagrams, system specifications, and DTC documents - Builds intelligent knowledge graphs with component identification and layered relationships - Maps IO signals t

Voice AI Interviewer

The goal of building AI Voice Caller was to build an interface where the LLM can interact with a user over the voice, and have the ability to hold conversation in realtime. Features: Autogen - The ab

Multi-Agent AI Customer Support Platform

Built a multitenant, multi-agent solution using Python, Milvus, LangGraph, LangSmith, and LangChain for automated customer support. Key Features: Handles order status, policy queries, discount coupon

LangGraph AI Code Assistant Platform with Multi-Tool Orchestration

CodeAssistant is an AI-powered code assistant with a Next.js dashboard and multi-workspace backend. Docker-based VS Code servers expose 13 tools—terminal, container control, file editing and more—lett

Education

  • Caltech

    Other in Post Graduate Program in AI and ML (Online)

    2023-01-01-2024-01-01

  • Bangalore University

    Bachelor of Computer Applications in

    2006-01-01-2009-01-01

Languages

  • English (Native or Bilingual)