---
title: "shubham sharma - Technical manager (Principal Architect)– AI & Cloud in Bangalore Urban | Tal"
description: "Meet shubham sharma, Ai ops, GenAi, Machine learning, MLOps, distributed training and deployment at scale based in Bangalore Urban. AI stack includes hugging face, langgraph, and langsmith."
image: "https://tal.club/meet/shubham-sharma-26/share-image"
---

# shubham sharma on Tal

## Headline

Ai ops, GenAi, Machine learning, MLOps, distributed training and deployment at scale

## About

build various AI, Robotics Projects and worked on Self Driving car, One of the projects I am proud of is traffic signal classification in which dataset of 1000 traffic signs images was trained and could make the prediction with 98% of success ratio\. I have experience with many of the major javascript frameworks with a solid base of object\-oriented javascript and the DOM\. I like to approach UI problems with an engineering mindset\. Specialities: Artificial Intelligence, Machine Learning, Deep learning/AI/ML/Javascript/Python/Cpp/C\(TensorFlow, Nodejs, React Js, angular2, Vue Js, Keras, koa2, SQL, ROS, Sensor Fusion, Localization, Motion Planning, Regression,Computer Vision\)

## Location

Bangalore Urban

## AI stack

hugging face

langgraph

langsmith

claudecode

Guardrails AI

vLLM

## Work experience

Technical manager \(Principal Architect\)– AI & Cloud at EY, Jul 2025 \- Present · 1 yr 2 mos, Gurugram, Leading enterprise Generative AI transformation initiatives, architecting production\-grade LLM and SLM solutions across regulated industries\. • Designed and deployed end\-to\-end GenAI architectures leveraging Large Language Models \(LLMs\) and Small Language Models \(SLMs\) for enterprise use cases including document intelligence, knowledge automation, and conversational AI • Architected secure RAG \(Retrieval\-Augmented Generation\) pipelines integrating vector databases, embeddings, and domain\-specific knowledge graphs • Built scalable LLMOps frameworks covering model serving, fine\-tuning, evaluation, guardrails, observability, and cost optimization • Led implementation of private LLM deployments, API\-based foundation models, and hybrid AI architectures on cloud\-native infrastructure • Designed model governance frameworks addressing hallucination control, explainability, drift monitoring, and responsible AI compliance • Optimized inference performance through model compression, distillation, quantization, and SLM\-based edge deployment strategies • Directed cross\-functional AI, data engineering, and platform teams to deliver enterprise\-grade GenAI platforms

Senior Engineer Consultant\-AI\-ML at Verizon, Jun 2023 \- Jul 2025 · 2 yrs 2 mos, Bengaluru, Led large\-scale ML platform modernization and production deployment initiatives supporting enterprise\-grade AI systems\. • Spearheaded migration to Seldon V2 for scalable model serving across distributed Kubernetes environments • Designed batch and real\-time model deployment pipelines ensuring reliability, scalability, and CI/CD automation • Built model monitoring and observability frameworks covering performance tracking, drift detection, and explainability • Optimized inference performance and infrastructure utilization across high\-volume production workloads • Led multiple engineering teams responsible for model lifecycle management and platform reliability • Standardized ML governance practices across deployment, retraining workflows, and monitoring

Senior Machine learning Engineer at Quantiphi, May 2021 \- May 2023 · 2 yrs 1 mo, Bengaluru, Delivered cloud\-native AI and advanced analytics solutions for enterprise clients across retail, healthcare, and financial services\. • Built and deployed ML models for forecasting, recommendation systems, and NLP\-driven automation • Designed scalable data pipelines using Spark and cloud\-based architectures \(GCP/AWS\) • Implemented end\-to\-end ML workflows from feature engineering to production deployment • Collaborated with client stakeholders to translate business problems into AI\-driven solutions • Contributed to solution design, technical documentation, and client presentations

Machine Learning Engineer at 1Touch Development, Jan 2020 \- Apr 2021 · 1 yr 4 mos, Chandigarh, India, Contributed to the design and development of scalable backend systems and data\-driven applications, building strong foundations in production engineering and applied machine learning\. • Developed and maintained backend services and REST APIs supporting high\-availability applications • Designed data processing workflows for analytics and automation use cases • Built and optimized machine learning models for structured and unstructured datasets • Implemented feature engineering pipelines and model validation frameworks • Collaborated with cross\-functional teams to deliver end\-to\-end technical solutions • Focused on performance optimization, reliability, and clean architecture practices

Machine Learning Engineer at Freelnace, Jan 2020 \- Mar 2021 · 1 y 2 mo, Chandigarh, Led a 20\+ member team across ML and web\-engineering, delivering multiple e\-commerce platforms and ML pipelines with Angular / React front\-ends and REST/GraphQL back\-ends\. Built cloth detection and masking by category and attributes; implemented DCGAN for Deepfake generation\. Designed and deployed CI/CD pipelines using Jenkins, Docker and GitHub aligned to client\-specific coding standards\.

Software Developer at SourceFuse Technologies, Apr 2017 \- Apr 2019 · 2 y, Mohali’s

Software Engineer at Click Labs, Aug 2016 \- Apr 2017 · 8 mo, Chandigarh

## Education

Nanodegee: Self Driving Car, Computer Vision, and Deep Learning, Sensor Fusion, Localization, Motion Planning, Udacity

Bachelor of Technology, Computer Engineering, Punjab technical university

[View the original profile](https://tal.club/meet/shubham-sharma-26)

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