---
title: "KOMAL . - Lead ML Engineer in New Delhi | Tal"
description: "Meet KOMAL ., Lead ML Engineer @ airtel | MTech in Artificial Intelligence based in New Delhi. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/komal-74/share-image"
---

# KOMAL \. on Tal

## Headline

Lead ML Engineer @ airtel \| MTech in Artificial Intelligence

## About

As a Lead Machine Learning Engineer at airtel, I focus on designing and deploying AI\-powered voice assistants and real\-time speech pipelines for automated broadband troubleshooting\. My work incorporates technologies such as LangGraph, LLMs, Whisper, and FastAPI to optimize Hindi/Hinglish speech recognition, build scalable STT/TTS microservices, and implement LLM\-based workflows for decision\-making and task automation\. Additionally, I contribute to the development of large\-scale 5G usage forecasting systems using ARIMA, Prophet, and LSTM models, alongside preprocessing and feature engineering for time series data\. I hold an MTech in Artificial Intelligence from Indira Gandhi Delhi Technical University for Women and bring a strong foundation in AI\-driven solutions to my role\. My expertise spans Generative AI, RAG systems, and speech recognition technologies, with a focus on creating scalable, production\-ready AI systems that address complex business challenges\.

## Location

New Delhi

## AI stack

opencode

claudecode

## Work experience

Lead ML Engineer at airtel, Feb 2025 \- Present · 1 yr 7 mos, Gurugram, Haryana, India, \- Led development of an AI\-powered voice assistant for automated broadband troubleshooting using LangGraph, LLMs, and real\-time speech pipelines\. \- Built and optimized Hindi/Hinglish speech recognition systems using Whisper for noisy call environments\. \- Designed scalable STT/TTS microservices with FastAPI and WebSockets for high\-volume real\-time traffic\. \- Implemented LLM\-based workflows for decision\-making, OTP extraction, and appointment rescheduling\. \- Developed document\-grounded RAG systems using LlamaIndex, Elasticsearch, and vector databases\. \- Built end\-to\-end 5G usage forecasting systems using ARIMA, Prophet, and LSTM models\. \- Designed preprocessing and feature engineering pipelines for large\-scale time series data\. \- Integrated structured logging, monitoring, and observability for production stability\.

Machine Learning Engineer at Zee Media Corporation Limited, Jun 2024 \- Feb 2025 · 9 mos, Uttar Pradesh, India, • Designed and deployed scalable AI\-based content moderation systems using FastAPI, Kafka, GPT models, and OpenCV for real\-time audio/video analysis and regulatory compliance\. • Built AI\-driven video processing pipelines for frame change detection and consumer product identification using OpenCV and OpenAI\. • Developed automated tools for generating headlines, highlights, and keywords using OpenAI models for multilingual content optimization\. • Built an AI\-powered document processing chatbot using GPT, Vision Transformers, OCR, and SentenceTransformers, integrated with OpenSearch and FastAPI, improving user engagement by 40%\. • Applied advanced NLP models \(GPT\-4, Hugging Face, BERT\) for text classification and multilingual content processing using Google Translation API\.

Data Analyst AI at Zee Media Corporation Limited, Feb 2022 \- Jun 2024 · 2 yrs 5 mos, Noida, Uttar Pradesh, India, • Created SEO dashboards integrating Comscore APIs, reducing reporting time by 80%, deployed with Docker and CI/CD on GitHub\. • Built automated data pipelines integrating YouTube, Google Analytics, Comscore, and Tubular for centralized reporting\. • Created interactive Power BI dashboards for business intelligence and performance analysis\. • Performed large\-scale data cleaning, feature engineering, and modeling for content analytics\. • Supported editorial and business teams with data\-driven insights and performance reports\.

Artificial Intelligence Engineer at VyomNetra, Jul 2021 \- Dec 2021 · 6 mos, Nodia, UP, • Developed touchless visitor management system with AI and facial recognition, enhancing facility security, and providing data for traffic analysis\. • Created IoT\-based smart washroom system with ammonia sensor, enabling real\-time cleanliness monitoring and predictive maintenance for improved facility hygiene\. • Demonstrated proficiency in Python, machine learning techniques, and IoT technology throughout project lifecycles\. • Offered data\-driven recommendations for resource allocation and process optimization, supporting the startup's growth initiatives\.

## Education

Master of Technology \- MTech, Artificial Intelligence, Indira Gandhi Delhi Technical University for Women

Bachelor's degree, Electronics and Communications Engineering, Jamia hamdard

[View the original profile](https://tal.club/meet/komal-74)

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