---
title: "Lichingngamba Tensubam - Software Engineer in Bengaluru | Tal"
description: "Meet Lichingngamba Tensubam, AI Engineer @Alcatel Lucent Enterprise | PhD Researcher | ML Ops + NLP | PyTorch | TensorFlow | AWS based in Bengaluru. AI stack includes anthropic apis, claude code, and hugging face. Explore public work links including github and liching.pages.dev."
image: "https://tal.club/meet/lichingngamba-tensubam/share-image"
---

# Lichingngamba Tensubam on Tal

## Headline

AI Engineer @Alcatel Lucent Enterprise \| PhD Researcher \| ML Ops \+ NLP \| PyTorch \| TensorFlow \| AWS

## About

As a Software Engineer at Alcatel\-Lucent Enterprise, I contribute to the development of advanced AI\-driven systems, including the architecture and deployment of OV AIVA, a multi\-agent system for network management\. My work focuses on optimizing machine learning pipelines, leveraging tools like PyTorch, TensorFlow, Docker, and Kubernetes to enhance operational efficiency and insights\. Currently pursuing a PhD in Artificial Intelligence at Alliance University, I aim to explore cutting\-edge advancements in AI while building on my academic foundation, which includes an MTech in Data Science and Engineering\. My areas of focus include ML Ops, NLP, and the integration of AI into real\-world systems to enable intelligent decision\-making and operational excellence\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

hugging face

langfuse

langgraph

mistral

## Work experience

Software Engineer at Alcatel\-Lucent Enterprise, Nov 2023 \- Present · 2 yrs 11 mos, Bengaluru, • Architected and deployed OV AIVA, a production\-grade advanced multi\-agent system designed for the OVNG Network Management suite, achieving ≥92% intent classification accuracy and delivering real\-time network insights with dynamic next\-query recommendations to operators\. • Engineered a Dynamic Function Calling Agent with context\-aware tool selection, cutting intent\-resolution latency by 30% and optimizing the data pipeline for efficient inference on Mistral 7B small LLMs\. • Drove end\-to\-end ML lifecycle in a high\-velocity environment, spanning Kafka\-based data preprocessing, model training \(TensorFlow/PyTorch\), and CI/CD containerized deployment \(Docker, k8s\), shipping features at startup pace within an enterprise environment\.

AIML Engineer at Alcatel\-Lucent Enterprise, Aug 2023 \- Oct 2023 · 3 mos, Bengaluru, Karnataka, India, • Developed PoC for real\-time telemetry anomaly detection, ingesting and processing 10K\+ events/sec to surface root\-cause alerts\. • Partnered with cross\-functional teams to integrate ML insights into existing monitoring dashboards, improving mean time to detect \(MTTD\) by 25%\.

Research And Development Intern at Defence Research and Development Organisation \(DRDO\), Nov 2022 \- May 2023 · 7 mos, Bengaluru, • Benchmark transformer architectures \(e\.g\., BioMegatron\) on domain\-specific corpora, achieving a 4% F1 improvement over baseline NER models\. • Fine\-tuned large language models via NVIDIA NeMo to enhance medical\-entity classification in unstructured clinical reports\.

NLP Research Intern at Rank IT Vision PVT\. LTD, Aug 2022 \- Nov 2022 · 4 mos, Bengaluru, • Built a Dockerized SSML\-driven Text\-to\-Speech service using Coqui\-TTS, supporting multilingual inputs and achieving <150 ms synthesis latency\. • Integrated REST API endpoints and container orchestration for scalable speech\-generation workflows\.

## Education

Doctor of Philosophy \- PhD, Artificial Intelligence, Alliance University

Master of Technology \- MTech, Data science and engineering, M\. S\. RAMAIAH UNIVERSITY OF APPLIED SCIENCES

## Public links

- github: https://github\.com/lichingngamba
- liching\.pages\.dev: https://liching\.pages\.dev/

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

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