s
soumyajitsensha

Soumyajit

@soumyajitsensha
Indien
Englisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hey there! I’m Soumyajit, an AI Engineer with hands-on experience creating intelligent systems that power real-world applications. From automating government patent workflows to building voice-enabled RAG chatbots, I bring end-to-end AI solutions to life. Agentic AI workflows using CrewAI, AutoGen, LangChain Multilingual summarization pipelines using mBART, BART 3D design generation with Stable Diffusion & Hunyuan3D Advanced semantic search and caching for fast AI responses Integrated AI tools into web backends using FastAPI + Docker ... Mehr lesen

Kompetenzen

s
soumyajitsensha
Soumyajit
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Integrationen
I will build custom ai chatbots and agents using langchain and openai
Ab100 $ / ProjektWeitere Details
KI-Integrationen
I will build ai agents and automation systems
Ab90 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

AI Engineer

Trademarkia • Vollzeit

Dec 2024 - Present • 1 yr 5 mos

AI Engineer building GenAI solutions Developing Agentic Solution for automating CRM communications Developing FastAPI application for AI Automation services

AI Research Intern

Samsung R&D • Vollzeit

Aug 2024 - Jun 2025 • 10 mos

At Samsung, I worked on developing an AI-powered agent for home automation that could understand natural language commands and intelligently control smart devices. The agent was designed to interpret user intent, map it to device-specific actions, and execute operations dynamically across different home appliances. I designed the system to allow device onboarding through APIs, where each device was described by its functionality, usage patterns, and live status. The agent analyzed these descriptions along with real-time device data to decide the correct action for a given user command. This enabled flexible control without hardcoding device logic. The project involved building agentic decision-making logic, integrating LLM-based intent understanding, and implementing action planning and execution workflows. I focused on making the system scalable so that new devices could be added with minimal configuration. Overall, the project demonstrated how AI agents can orchestrate real-world systems, combining natural language understanding, reasoning, and API-based execution to create an intelligent, extensible home automation platform.