---
title: "Vivina M. - Artificial Intelligence Engineer in Bengaluru | Tal"
description: "Meet Vivina M., AI Engineer · Agentic & Multimodal Systems | LangChain · RAG · OpenAI GPT-4 · FastAPI | Built GenAI Solutions @ Sash.AI | M.Tech CS @ KVGCE based in Bengaluru. AI stack includes langchain, langgraph, and langsmith."
image: "https://tal.club/meet/vivina-m/share-image"
---

# Vivina M\. on Tal

## Headline

AI Engineer · Agentic & Multimodal Systems \| LangChain · RAG · OpenAI GPT\-4 · FastAPI \| Built GenAI Solutions @ Sash\.AI \| M\.Tech CS @ KVGCE

## About

AI Engineer with 1\+ year building production\-grade Generative AI systems — from multimodal pipelines and autonomous agents to cloud\-deployed LLM microservices\. 🔧 What I build: → End\-to\-end RAG pipelines \(LangChain \+ Pinecone\) for semantic search & document retrieval → Multimodal Speech AI systems \(Whisper STT \+ Sarvam TTS \+ GPT\-4\) for real\-time voice agents → Agentic interview orchestration platforms with live avatar delivery via LiveKit → Production REST APIs with FastAPI, containerised on GCP using Docker 🤖 LLM & Prompt Engineering: Hands\-on with OpenAI GPT\-4, advanced prompt engineering \(few\-shot, CoT, system prompt design\), and domain\-specific fine\-tuning for enterprise use cases\. ☁️ Cloud & Infra: GCP \(primary deployment\), AWS Bedrock, Docker, Microservices Architecture 📚 Currently: Pursuing M\.Tech in Computer Science @ KVGCE while working full\-time — diving deep into autonomous multi\-agent systems and multimodal AI research\. Open to roles in: AI Engineering · GenAI Development · Agentic Systems · LLM Applications 📩 vvnamuth@gmail\.com

## Location

Bengaluru

## AI stack

langchain

langgraph

langsmith

openai

## Work experience

Artificial Intelligence Engineer at Sash\.Ai, Feb 2025 \- Present · 1 yr 5 mos, Bengaluru, Karnataka, India, AI Engineer \| Aixplora Technologies Pvt Ltd \(Sash\.AI\) Feb 2025 – Present · Bengaluru, India Built and shipped a production\-grade Multimodal HR GenAI Platform from the ground up — an autonomous, end\-to\-end AI system for intelligent candidate screening, real\-time evaluation, and automated interview orchestration\. Key contributions: 🧠 LLM & Agentic Systems • Designed multi\-step LLM workflows using OpenAI GPT\-4 with advanced prompt engineering \(few\-shot, chain\-of\-thought, system prompt design\) for candidate analysis, contextual question generation, and automated feedback summarisation • Architected agentic pipelines that autonomously drive interview lifecycles without human intervention 🔍 RAG & Vector Search • Built Retrieval\-Augmented Generation pipelines using LangChain \+ Pinecone vector DB for semantic document retrieval, managing embeddings, tokenisation, and feature extraction end\-to\-end 🎙️ Multimodal Speech AI • Engineered real\-time Speech AI pipelines integrating Whisper \(STT\) and Sarvam TTS for voice\-driven candidate interactions • Integrated LiveKit for low\-latency, avatar\-based interview delivery — combining STT, TTS, and LLM into a single unified multimodal system ⚙️ Backend & Deployment • Built production AI microservices and RESTful APIs using Python \+ FastAPI following microservices architecture principles • Deployed AI systems on GCP using Docker; hands\-on experience with AWS Bedrock for cloud\-native AI pipelines Stack: Python · FastAPI · OpenAI GPT\-4 · LangChain · Pinecone · Whisper · Sarvam TTS · LiveKit · GCP · AWS Bedrock · Docker

## Education

Master of Engineering, Computer Science, KVG College of Engineering \(KVGCE\), Sullia

Bachelor of Engineering \- BE, Computer science and engineering, coorg institute of technology

[View the original profile](https://tal.club/meet/vivina-m)

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