---
title: "Roger Demello - AI Engineer Intern in Nagpur | Tal"
description: "Meet Roger Demello, AI Engineer | GenAI | Agentic Systems | Backend & Production Systems | ML | AWS Certified Cloud Practitioner based in Nagpur."
image: "https://tal.club/meet/roger/share-image"
---

# Roger Demello on Tal

## Headline

AI Engineer \| GenAI \| Agentic Systems \| Backend & Production Systems \| ML \| AWS Certified Cloud Practitioner

## About

AI Engineer focused on building production\-grade LLM applications, RAG pipelines, and autonomous agent systems\. Experienced in developing real\-world AI solutions using Python, FastAPI, LangChain, and vector databases, with a strong focus on reliability, scalability, and practical impact\. Built systems including AI copilots, compliance automation platforms, adaptive learning tools, and workflow automation agents used by real users\. Interested in solving problems around retrieval, reasoning, backend architecture, and AI\-driven decision systems\. I enjoy working in fast\-moving environments where I can take ownership, experiment, and turn ideas into working products\. Passionate about building AI systems that are not just impressive demos, but actually useful in production\.

## Location

Nagpur

## Work experience

AI Engineer Intern at AI LifeBOT, Jan 2026 \- Present · 7 mos, • Built and deployed production\-grade LLM applications and autonomous AI agents with long\-term memory, tool usage, and goal\-driven workflows\. • Developed real\-time, voice\-enabled AI support bots with multimodal inputs \(text \+ voice\) and low\-latency interactions\. • Architected end\-to\-end AI systems, integrating LLMs, external APIs, vector databases, and streaming layers for scalable, reliable performance\. • Designed agent orchestration frameworks enabling contextual memory, decision\-making, and task execution across complex workflows\. • Led systems from prototype to live deployment, optimizing for observability, fault tolerance, and performance in production environments\.

Cadet at 2 MAH AIR SQN NCC, Jul 2023 \- Feb 2026 · 2 yrs 8 mos, Nagpur, • NCC 'C' certificate holder\. • Trained in drill, aeromodelling, aviation basics, and physical fitness\. • Attended CATC camp and represented my unit with dedication\. • Organized various NCC events, awareness drives, and cultural programs\. • Developed strong leadership, discipline, and teamwork skills\.

Machine Learning Intern at CFM RCOEM, May 2025 \- Jul 2025 · 3 mos, RCOEM Nagpur, • Enhanced an ML\-based tool to predict sleep disorders using lifestyle and health data\. • Attained 87% accuracy in predicting sleep disorders by analyzing factors such as stress, sleep duration, and blood pressure\. • Utilized Python, Scikit\-Learn, and Pandas for model development and data analysis\.

## Education

Bachelor of Technology \- BTech, Electronics and Communication, Shri ramdeobaba college of engineering and management

Minor Degree, Artificial Intelligence and Machine Learning, Shri ramdeobaba college of engineering and management

[View the original profile](https://tal.club/meet/roger)

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