---
title: "Makilesh M - Artificial Intelligence Engineer Intern in Bengaluru | Tal"
description: "Meet Makilesh M, AI/ML Engineer | Oracle-Certified Gen AI Developer | LLMs, RAG & Voice AI based in Bengaluru. AI stack includes claude code, hugging face, and langchain. Explore public work links including github, leetcode, and makilesh.github.io."
image: "https://tal.club/meet/makilesh-m/share-image"
---

# Makilesh M on Tal

## Headline

AI/ML Engineer \| Oracle\-Certified Gen AI Developer \| LLMs, RAG & Voice AI

## About

AI/ML Engineer focused on building production\-ready systems using LLMs, RAG pipelines, multi\-agent architectures, NLP, and Voice AI\. Experienced in developing real\-world AI applications using LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow, and modern GenAI frameworks\. Built projects across intelligent assistants, document understanding, conversational AI, real\-time Voice AI applications, and intelligent automation workflows\. Strong interest in scalable AI systems, agentic workflows, and practical GenAI applications that solve real user problems\. Open to AI/ML Engineer, GenAI, and Applied AI opportunities\. 📩 makilesh24225@gmail\.com \#ArtificialIntelligence \#MachineLearning \#LLM \#GenAI \#RAG \#NLP \#Python \#AIEngineering

## Location

Bengaluru

## AI stack

claude code

hugging face

langchain

langgraph

openclaw

LiteLLM

## Work experience

Artificial Intelligence Engineer Intern at SHAMLA TECH SOLUTIONS, Sep 2025 \- Feb 2026 · 6 mos, Coimbatore, • Deployed an AI Voice Calling Agent \(Twilio \+ Pinecone\) enabling fully automated outbound calls with zero manual intervention\. Implemented persistent conversation memory via Pinecone vector storage, delivering context\-aware dynamic responses based on prior interaction history\. • Built a full\-duplex Cross\-Platform Meeting Assistant with real\-time 10\-speaker diarization and streaming transcription across Zoom, Google Meet, Microsoft Teams, and in\-person sessions, featuring wake\-word activation for on\-demand contextual AI expert responses powered by RAG\. • Engineered an end\-to\-end multi\-source lead generation pipeline with 3\-stage AI qualification \(pre\-filter \+ dual LLM: GPT\-4 with Gemini, Ollama fallback\), achieving 94\.6% lower LLM API costs via batch processing \(20 leads/API call\) and concurrent async scraping across Reddit, Discord, Slack, LinkedIn, with competitor detection\. • Technologies Used: Python, LangChain, Twilio API, RealtimeSTT/TTS, Whisper, Pinecone, pyannote\.audio, OpenAI / Gemini APIs, Selenium, Playwright, PRAW, Discord\.py, Slack SDK, AsyncIO, Flask

## Education

Bachelor of Engineering \- BE, Computer Science, sri krishna college of engineering and technology

Bachelor of Engineering \- BE, Computer Science, sri krishna college of engineering and technology

## Public links

- github: https://github\.com/Makilesh
- leetcode: https://leetcode\.com/makilesh
- makilesh\.github\.io: https://makilesh\.github\.io/

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

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